I N T E R S Y S T E M S W H I T E P A P E R INTERSYSTEMS CACHÉ AS AN ALTERNATIVE TO IN-MEMORY DATABASES. David Kaaret InterSystems Corporation

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "I N T E R S Y S T E M S W H I T E P A P E R INTERSYSTEMS CACHÉ AS AN ALTERNATIVE TO IN-MEMORY DATABASES. David Kaaret InterSystems Corporation"

Transcription

1 INTERSYSTEMS CACHÉ AS AN ALTERNATIVE TO IN-MEMORY DATABASES David Kaaret InterSystems Corporation

2 INTERSYSTEMS CACHÉ AS AN ALTERNATIVE TO IN-MEMORY DATABASES Introduction To overcome the performance limitations of traditional relational databases, applications ranging from those running on a single machine to large, interconnected grids often use in-memory databases to accelerate data access. While in-memory databases and caching products increase throughput, they suffer from a number of limitations including lack of support for large data sets, excessive hardware requirements, and limits on scalability. InterSystems Caché is a high-performance object database with a unique architecture that makes it suitable for applications that typically use in-memory databases. Caché s performance is comparable to that of in-memory databases, but Caché also provides: Persistence data is not lost when a machine is turned off or crashes Rapid access to very large data sets The ability to scale to hundreds of computers and tens of thousands of users Simultaneous data access via SQL and objects: Java, C++,.NET, etc. This paper explains why Caché is an attractive alternative to in-memory databases for companies that need high-speed access to large amounts of data. Unique data engine enables persistence and high performance Caché is a persistent database, which means that data maintained in RAM is written to disk by background processes. So how can Caché provide performance that is comparable to in-memory databases, which only periodically write data to some permanent data store? Part of the answer lies in Caché s unique architecture. Instead of the rows and columns of a traditional database, Caché uses multidimensional arrays, the structure of which is based on object de initions. Data is stored the way the architect designs it, and the same structures used for the in-memory cache are used on disk. Data that should be stored together is stored together. As a result, Caché can access data on disk very quickly. The requirement that multiple in-memory caches need to be synchronized when data is updated also reduces the performance of many distributed cache products. With Caché, the updating of data and the distribution of data to caches are logically separate. This gives it a much simpler work low which allows for superior performance. Caché also provides in-process bindings to C++ and Java that allow applications written in those languages to directly populate Caché s internal data structures. 1

3 The bene its of persistence Given that Caché provides comparable performance, its ability to access data on disk confers some signi icant advantages compared to in-memory databases. The most obvious is that there is no need for a separate permanent data store. Caché is the permanent store, and it is always current. Data is not lost when a machine is turned off or crashes. Another advantage is that, with Caché, the size of data sets is not limited by the amount of available RAM. If data is not in a local cache it is either obtained from a remote cache or from disk in a seamless manner. Since it is not RAM-limited, a Caché-based system can handle petabytes of data, in-memory databases cannot. Adding RAM to a system in an attempt to increase capacity is more expensive than adding disk storage. (A terabyte of disk storage is cheaper than a terabyte of RAM.) Plus, many in-memory systems need to keep redundant copies of data on separate machines to safeguard against the effects of having a computer crash. Operating distributed cache systems with a persistent database like Caché often results in reduced hardware costs. Seamless SQL and object data access One problem shared by most in-memory databases is that, because their data structures are optimized for high-speed processing, the data is usually not readily accessible via SQL. In order to be compatible with most analysis and reporting tools, the data must irst be mapped into relational tables. This is usually done when data is transferred from the in-memory database to the permanent data store and typically involves an ETL (extract, transform, and load) process. (The processing overhead and additional time required for mapping is the main reason relational databases are not fast enough for extremely high-speed distributed applications, and why in-memory databases are often used instead.) A few in-memory databases are based on the relational model, and offer SQL data access. Such systems suffer from the opposite problem, in that data is not readily accessible to the object-oriented technologies that are typically used for application development. In addition, most relational in-memory databases are not designed for multi-computer con igurations. They run on only one machine, and are RAM-limited. Caché is different, because the multidimensional arrays it uses can be exposed simultaneously as relational tables and as objects. Caché s Uni ied Data Architecture maintains both object and relational views of data at all times without mapping. 2

4 I N T W H E R S I T E Y S T E M S P A P E R Fig. 1: Caché s Uni$ied Data Architecture enables multiple ways to access data Caché s SQL access is compatible with both ODBC and JDBC. On the object side, Caché provides bindings to any number of object-oriented languages including Java,.NET, and C++. Caché s object representation is full-featured and supports object-oriented concepts like inheritance, polymorphism, and encapsulation. Enterprise Cache Protocol In multi-computer applications Caché automatically maintains caches by use of its Enterprise Cache Protocol (ECP). With ECP, Caché instances can be conoigured as data servers and/or application servers. Each piece of data is owned by a data server. Application servers understand where data is located and keep local caches of recently used data. If an application server cannot satisfy requests from its local cache it will request the necessary data from a remote data server. ECP automatically manages cache consistency. ECP requires no application changes applications simply treat the entire database as if it was local. This is a major distinction from some distributed cache systems, where each client needs to specify what subset of data it is interested in before any queries are performed. One machine, one cache Another key difference between Caché and other distributed cache products is that most other products maintain a separate cache for each process running on a machine. For example, if a single machine has eight clients then eight individual caches will be maintained on that machine. 3

5 In contrast, Caché maintains its cache in shared memory and provides bindings to allow processes running in their own memory address space to access the data. Data can be simultaneously accessed through TCP-based protocols like JDBC, through language bindings, and also for exceptionally high performance through bindings that allow applications to directly manipulate the cache. Allowing multiple clients to share a single cache provides a number of bene its. One is that a shared-cache system has reduced memory requirements. When, as is often the case, individual clients require access to overlapping data, other distributed cache products maintain multiple copies of the data. With Caché only a single copy of the data needs to be maintained for each machine. Having one cache per machine also results in reduced network I/O. In high-performance applications the network traf ic associated with cache maintenance can be a major issue. However, with a single cache per machine, only that cache needs to be updated as the underlying data changes, rather than making overlapping updates to multiple caches. Even with multi-core processors, a Caché-based system only uses one shared cache per machine, resulting in superior scalability compared with other distributed cache products. For example, in a Caché-based system of 250 machines, each with 8 cores, only 250 caches need to communicate with each other in order to maintain cache coherence. But systems that require a separate cache for each core would need to coordinate 2000 caches. As modern computers may have eight, sixteen, or even more cores, the scalability advantage of Caché becomes increasingly important. Fig. 2a: Cache coherency without InterSystems Enterprise Cache Protocol. 4

6 I N T W H E R S I T E Y S T E M S P A P E R Fig. 2b: Cache coherency in a Caché-based system. Populating the cache In many distributed cache applications, pre-loading the cache can be a lengthy process. This may be due to the sheer amount of data, and/or because of the time required to map data from a relational store into the object-oriented structures used by the application. For some data-intensive applications, more time is spent populating in-memory caches than actually running calculations against them. Not so with Caché. Caché s exceptional SQL capabilities allow it to easily pull data from relational primary data sources. And of course, as a persistent database, Caché may be the primary source. In that case, there is no need to pre-load caches at all. Local caches will automatically load the data they need as queries are run. Another consideration is how many machines are involved with the task of populating caches. With Caché, primary ownership of the data is held by a small percentage of the computers in a distributed grid environment. Populating that environment only requires access to the ECP data servers, and they can be loaded in the background while the other computers are used for other tasks. When the application servers come on line, their caches are repopulated automatically as data is requested. In contrast, when data is loaded in most in-memory products, it is partitioned to be spread across the distributed cache so that all, or virtually all, data is in the memory of at least one machine. As a result, it is often not feasible to do data loads with a small subset of the computers while bringing the rest on line as needed. 5

7 Conclusion The primary reason for using in-memory databases is speed. But although they are fast, in-memory databases often suffer from poor scalability, lack of SQL support, excessive hardware requirements, and the risk of losing data due to unplanned outages. Caché is the only persistent database that provides performance equal to that of in-memory databases. It also supports extremely large data sets, seamlessly allows data access via both SQL and objects, enables distributed systems of hundreds of machines, and is highly reliable. All of this makes Caché an attractive alternative for applications that must process very high volumes of data at very high speed. About InterSystems InterSystems Corporation is a global software technology leader with headquarters in Cambridge, Massachusetts, and of ices in 23 countries. InterSystems provides innovative products that enable fast development, deployment, and integration of enterprise-class applications. InterSystems Caché is a high performance object database that makes applications faster and more scalable. InterSystems Ensemble is a rapid integration and development platform that enriches applications with new functionality, and makes them connectable. InterSystems HealthShare is a platform that enables the fastest creation of an Electronic Health Record for regional or national health information exchange. InterSystems DeepSee is software that makes it possible to embed real-time business intelligence in transactional applications, enabling better operational decisions. For more information, visit InterSystems.com. InterSystems Corporation World Headquarters One Memorial Drive Cambridge, MA Tel: Fax: InterSystems.com InterSystems Ensemble and InterSystems Caché are registered trademarks of InterSystems Corporation. InterSystems DeepSee and InterSystems HealthShare are trademarks of InterSystems Corporation. Other product names are trademarks of their respective vendors. Copyright 2010 InterSystems Corporation. All rights reserved. 1-10

HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE SOLUTIONS

HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE SOLUTIONS HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE SOLUTIONS A white paper by: Dr. Mark Massias Senior Sales Engineer InterSystems Corporation HOW INTERSYSTEMS TECHNOLOGY ENABLES BUSINESS INTELLIGENCE

More information

I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES. Deploying an elastic Data Fabric with caché

I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES. Deploying an elastic Data Fabric with caché I N T E R S Y S T E M S W H I T E P A P E R F O R F I N A N C I A L SERVICES EXECUTIVES Deploying an elastic Data Fabric with caché Deploying an elastic Data Fabric with caché Executive Summary For twenty

More information

CASE STUDIES IN PERFORMANCE

CASE STUDIES IN PERFORMANCE CASE STUDIES IN PERFORMANCE Executive Summary The best way to compare the performance of database products is in a head-to-head test using a real application, preferably one of your own. This is especially

More information

CACHÉ: FLEXIBLE, HIGH-PERFORMANCE PERSISTENCE FOR JAVA APPLICATIONS

CACHÉ: FLEXIBLE, HIGH-PERFORMANCE PERSISTENCE FOR JAVA APPLICATIONS CACHÉ: FLEXIBLE, HIGH-PERFORMANCE PERSISTENCE FOR JAVA APPLICATIONS A technical white paper by: InterSystems Corporation Introduction Java is indisputably one of the workhorse technologies for application

More information

Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage

Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage White Paper Scaling Objectivity Database Performance with Panasas Scale-Out NAS Storage A Benchmark Report August 211 Background Objectivity/DB uses a powerful distributed processing architecture to manage

More information

Cache Database: Introduction to a New Generation Database

Cache Database: Introduction to a New Generation Database Cache Database: Introduction to a New Generation Database Amrita Bhatnagar Department of Computer Science and Engineering, Birla Institute of Technology, A 7, Sector 1, Noida 201301 UP amritapsaxena@gmail.com

More information

I N T E R S Y S T E M S W H I T E P A P E R ADVANCING SOA WITH AN EVENT-DRIVEN ARCHITECTURE

I N T E R S Y S T E M S W H I T E P A P E R ADVANCING SOA WITH AN EVENT-DRIVEN ARCHITECTURE ADVANCING SOA WITH AN EVENT-DRIVEN ARCHITECTURE ADVANCING SOA WITH AN EVENT-DRIVEN ARCHITECTURE Executive overview In most organizations, events drive action. In inancial services, for example, a stock

More information

Intel Xeon Processor X5570-based Blade Servers Deliver Unmatched Performance for InterSystems Caché Database Benchmark

Intel Xeon Processor X5570-based Blade Servers Deliver Unmatched Performance for InterSystems Caché Database Benchmark White Paper Intel Xeon Processor X5570-based Blade Servers Deliver Unmatched Performance for InterSystems Caché Database Benchmark Abstract In November of 2009, Intel and HP joined InterSystems in benchmarking

More information

Configuration and Development

Configuration and Development Configuration and Development BENEFITS Enables powerful performance monitoring. SQL Server 2005 equips Microsoft Dynamics GP administrators with automated and enhanced monitoring tools that ensure 24x7

More information

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel

A Next-Generation Analytics Ecosystem for Big Data. Colin White, BI Research September 2012 Sponsored by ParAccel A Next-Generation Analytics Ecosystem for Big Data Colin White, BI Research September 2012 Sponsored by ParAccel BIG DATA IS BIG NEWS The value of big data lies in the business analytics that can be generated

More information

Scott Meder Senior Regional Sales Manager

Scott Meder Senior Regional Sales Manager www.raima.com Scott Meder Senior Regional Sales Manager scott.meder@raima.com Short Introduction to Raima What is Data Management What are your requirements? How do I make the right decision? - Architecture

More information

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here

SAP HANA PLATFORM Top Ten Questions for Choosing In-Memory Databases. Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases Start Here PLATFORM Top Ten Questions for Choosing In-Memory Databases. Are my applications accelerated without manual intervention and tuning?.

More information

And OrACLE In A data MArT APPLICATIOn

And OrACLE In A data MArT APPLICATIOn PErfOrMAnCE COMPArISOn Of InTErSySTEMS CAChé And OrACLE In A data MArT APPLICATIOn Abstract A global provider of mobile telecommunications software tested the performance of InterSystems Caché and Oracle

More information

Gradient An EII Solution From Infosys

Gradient An EII Solution From Infosys Gradient An EII Solution From Infosys Keywords: Grid, Enterprise Integration, EII Introduction New arrays of business are emerging that require cross-functional data in near real-time. Examples of such

More information

Oracle NoSQL Database and SanDisk Offer Cost-Effective Extreme Performance for Big Data

Oracle NoSQL Database and SanDisk Offer Cost-Effective Extreme Performance for Big Data WHITE PAPER Oracle NoSQL Database and SanDisk Offer Cost-Effective Extreme Performance for Big Data 951 SanDisk Drive, Milpitas, CA 95035 www.sandisk.com Table of Contents Abstract... 3 What Is Big Data?...

More information

BUSINESS INTELLIGENCE ANALYTICS

BUSINESS INTELLIGENCE ANALYTICS SOLUTION BRIEF > > CONNECTIVITY BUSINESS SOLUTIONS FOR INTELLIGENCE FINANCIAL SERVICES ANALYTICS 1 INTRODUCTION It s no secret that the banking and financial services institutions of today are driven by

More information

TIBCO ActiveSpaces Use Cases How in-memory computing supercharges your infrastructure

TIBCO ActiveSpaces Use Cases How in-memory computing supercharges your infrastructure TIBCO Use Cases How in-memory computing supercharges your infrastructure is a great solution for lifting the burden of big data, reducing reliance on costly transactional systems, and building highly scalable,

More information

Introducing InterSystems DeepSee

Introducing InterSystems DeepSee Embedded Real-time Business Intelligence. Discover the Treasures. Make Applications More Valuable with Embedded Real-time Business Intelligence You can enhance your transactional applications with features

More information

Nexenta Performance Scaling for Speed and Cost

Nexenta Performance Scaling for Speed and Cost Nexenta Performance Scaling for Speed and Cost Key Features Optimize Performance Optimize Performance NexentaStor improves performance for all workloads by adopting commodity components and leveraging

More information

USING INTERSYSTEMS CACHÉ FOR SECURELY STORING CREDIT CARD DATA

USING INTERSYSTEMS CACHÉ FOR SECURELY STORING CREDIT CARD DATA USING INTERSYSTEMS CACHÉ FOR SECURELY STORING CREDIT CARD DATA Andreas Dieckow Principal Product Manager InterSystems Corporation USING INTERSYSTEMS CACHÉ FOR SECURELY STORING CREDIT CARD DATA Introduction

More information

Active AnAlytics: Driving informed Decisions leading to Better clinical AnD financial outcomes

Active AnAlytics: Driving informed Decisions leading to Better clinical AnD financial outcomes Active AnAlytics: Driving informed Decisions leading to Better clinical AnD financial outcomes An InterSystems White Paper for Healthcare IT Executives Active AnAlytics: Driving informed Decisions leading

More information

BigMemory & Hybris : Working together to improve the e-commerce customer experience

BigMemory & Hybris : Working together to improve the e-commerce customer experience & Hybris : Working together to improve the e-commerce customer experience TABLE OF CONTENTS 1 Introduction 1 Why in-memory? 2 Why is in-memory Important for an e-commerce environment? 2 Why? 3 How does

More information

CASE STUDY: Oracle TimesTen In-Memory Database and Shared Disk HA Implementation at Instance level. -ORACLE TIMESTEN 11gR1

CASE STUDY: Oracle TimesTen In-Memory Database and Shared Disk HA Implementation at Instance level. -ORACLE TIMESTEN 11gR1 CASE STUDY: Oracle TimesTen In-Memory Database and Shared Disk HA Implementation at Instance level -ORACLE TIMESTEN 11gR1 CASE STUDY Oracle TimesTen In-Memory Database and Shared Disk HA Implementation

More information

Speed and Persistence for Real-Time Transactions

Speed and Persistence for Real-Time Transactions Speed and Persistence for Real-Time Transactions by TimesTen and Solid Data Systems July 2002 Table of Contents Abstract 1 Who Needs Speed and Persistence 2 The Reference Architecture 3 Benchmark Results

More information

Client/Server Computing Distributed Processing, Client/Server, and Clusters

Client/Server Computing Distributed Processing, Client/Server, and Clusters Client/Server Computing Distributed Processing, Client/Server, and Clusters Chapter 13 Client machines are generally single-user PCs or workstations that provide a highly userfriendly interface to the

More information

Integrated and reliable the heart of your iseries system. i5/os the next generation iseries operating system

Integrated and reliable the heart of your iseries system. i5/os the next generation iseries operating system Integrated and reliable the heart of your iseries system i5/os the next generation iseries operating system Highlights Enables the legendary levels of reliability and simplicity for which iseries systems

More information

IBM Netezza High Capacity Appliance

IBM Netezza High Capacity Appliance IBM Netezza High Capacity Appliance Petascale Data Archival, Analysis and Disaster Recovery Solutions IBM Netezza High Capacity Appliance Highlights: Allows querying and analysis of deep archival data

More information

InterSystems in Financial Services

InterSystems in Financial Services InterSystems in Financial Services Financial services companies are under intense pressure to stay within budget and to control expenditures on information technology. Yet, to satisfy customers and keep

More information

EMC Unified Storage for Microsoft SQL Server 2008

EMC Unified Storage for Microsoft SQL Server 2008 EMC Unified Storage for Microsoft SQL Server 2008 Enabled by EMC CLARiiON and EMC FAST Cache Reference Copyright 2010 EMC Corporation. All rights reserved. Published October, 2010 EMC believes the information

More information

Understanding Storage Virtualization of Infortrend ESVA

Understanding Storage Virtualization of Infortrend ESVA Understanding Storage Virtualization of Infortrend ESVA White paper Abstract This white paper introduces different ways of implementing storage virtualization and illustrates how the virtualization technology

More information

Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions

Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions Big Data Functionality for Oracle 11 / 12 Using High Density Computing and Memory Centric DataBase (MCDB) Frequently Asked Questions Overview: SGI and FedCentric Technologies LLC are pleased to announce

More information

Realizing the True Potential of Software-Defined Storage

Realizing the True Potential of Software-Defined Storage Realizing the True Potential of Software-Defined Storage Who should read this paper Technology leaders, architects, and application owners who are looking at transforming their organization s storage infrastructure

More information

News and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren

News and trends in Data Warehouse Automation, Big Data and BI. Johan Hendrickx & Dirk Vermeiren News and trends in Data Warehouse Automation, Big Data and BI Johan Hendrickx & Dirk Vermeiren Extreme Agility from Source to Analysis DWH Appliances & DWH Automation Typical Architecture 3 What Business

More information

Virtualizing SQL Server 2008 Using EMC VNX Series and Microsoft Windows Server 2008 R2 Hyper-V. Reference Architecture

Virtualizing SQL Server 2008 Using EMC VNX Series and Microsoft Windows Server 2008 R2 Hyper-V. Reference Architecture Virtualizing SQL Server 2008 Using EMC VNX Series and Microsoft Windows Server 2008 R2 Hyper-V Copyright 2011 EMC Corporation. All rights reserved. Published February, 2011 EMC believes the information

More information

Online Firm Improves Performance, Customer Service with Mission-Critical Storage Solution

Online Firm Improves Performance, Customer Service with Mission-Critical Storage Solution Microsoft SQL Server Customer Solution Case Study Online Firm Improves Performance, Customer Service with Mission-Critical Storage Solution Overview Country or Region: United States Industry: IT services

More information

SOLUTION BRIEF. Advanced ODBC and JDBC Access to Salesforce Data. www.datadirect.com

SOLUTION BRIEF. Advanced ODBC and JDBC Access to Salesforce Data. www.datadirect.com SOLUTION BRIEF Advanced ODBC and JDBC Access to Salesforce Data 2 CLOUD DATA ACCESS In the terrestrial world of enterprise computing, organizations depend on advanced JDBC and ODBC technologies to provide

More information

Colgate-Palmolive selects SAP HANA to improve the speed of business analytics with IBM and SAP

Colgate-Palmolive selects SAP HANA to improve the speed of business analytics with IBM and SAP selects SAP HANA to improve the speed of business analytics with IBM and SAP Founded in 1806, is a global consumer products company which sells nearly $17 billion annually in personal care, home care,

More information

OLAP Services. MicroStrategy Products. MicroStrategy OLAP Services Delivers Economic Savings, Analytical Insight, and up to 50x Faster Performance

OLAP Services. MicroStrategy Products. MicroStrategy OLAP Services Delivers Economic Savings, Analytical Insight, and up to 50x Faster Performance OLAP Services MicroStrategy Products MicroStrategy OLAP Services Delivers Economic Savings, Analytical Insight, and up to 50x Faster Performance MicroStrategy OLAP Services brings In-memory Business Intelligence

More information

Introduction. Scalable File-Serving Using External Storage

Introduction. Scalable File-Serving Using External Storage Software to Simplify and Share SAN Storage Creating Scalable File-Serving Clusters with Microsoft Windows Storage Server 2008 R2 and Sanbolic Melio 2010 White Paper By Andrew Melmed, Director of Enterprise

More information

RevoScaleR Speed and Scalability

RevoScaleR Speed and Scalability EXECUTIVE WHITE PAPER RevoScaleR Speed and Scalability By Lee Edlefsen Ph.D., Chief Scientist, Revolution Analytics Abstract RevoScaleR, the Big Data predictive analytics library included with Revolution

More information

Microsoft Analytics Platform System. Solution Brief

Microsoft Analytics Platform System. Solution Brief Microsoft Analytics Platform System Solution Brief Contents 4 Introduction 4 Microsoft Analytics Platform System 5 Enterprise-ready Big Data 7 Next-generation performance at scale 10 Engineered for optimal

More information

<Insert Picture Here> Oracle In-Memory Database Cache Overview

<Insert Picture Here> Oracle In-Memory Database Cache Overview Oracle In-Memory Database Cache Overview Simon Law Product Manager The following is intended to outline our general product direction. It is intended for information purposes only,

More information

EMC VPLEX FAMILY. Continuous Availability and Data Mobility Within and Across Data Centers

EMC VPLEX FAMILY. Continuous Availability and Data Mobility Within and Across Data Centers EMC VPLEX FAMILY Continuous Availability and Data Mobility Within and Across Data Centers DELIVERING CONTINUOUS AVAILABILITY AND DATA MOBILITY FOR MISSION CRITICAL APPLICATIONS Storage infrastructure is

More information

GigaSpaces Real-Time Analytics for Big Data

GigaSpaces Real-Time Analytics for Big Data GigaSpaces Real-Time Analytics for Big Data GigaSpaces makes it easy to build and deploy large-scale real-time analytics systems Rapidly increasing use of large-scale and location-aware social media and

More information

WHITE PAPER Embedding Additional Value into Applications: What Enterprises Need Most from Application Vendors

WHITE PAPER Embedding Additional Value into Applications: What Enterprises Need Most from Application Vendors WHITE PAPER Embedding Additional Value into Applications: What Enterprises Need Most from Application Vendors Sponsored by: InterSystems Sandra Rogers January 2010 Stephen D. Hendrick Global Headquarters:

More information

An Overview of SAP BW Powered by HANA. Al Weedman

An Overview of SAP BW Powered by HANA. Al Weedman An Overview of SAP BW Powered by HANA Al Weedman About BICP SAP HANA, BOBJ, and BW Implementations The BICP is a focused SAP Business Intelligence consulting services organization focused specifically

More information

IBM WebSphere Distributed Caching Products

IBM WebSphere Distributed Caching Products extreme Scale, DataPower XC10 IBM Distributed Caching Products IBM extreme Scale v 7.1 and DataPower XC10 Appliance Highlights A powerful, scalable, elastic inmemory grid for your business-critical applications

More information

IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME?

IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME? IS IN-MEMORY COMPUTING MAKING THE MOVE TO PRIME TIME? EMC and Intel work with multiple in-memory solutions to make your databases fly Thanks to cheaper random access memory (RAM) and improved technology,

More information

Exadata Database Machine

Exadata Database Machine Database Machine Extreme Extraordinary Exciting By Craig Moir of MyDBA March 2011 Exadata & Exalogic What is it? It is Hardware and Software engineered to work together It is Extreme Performance Application-to-Disk

More information

Preview of Oracle Database 12c In-Memory Option. Copyright 2013, Oracle and/or its affiliates. All rights reserved.

Preview of Oracle Database 12c In-Memory Option. Copyright 2013, Oracle and/or its affiliates. All rights reserved. Preview of Oracle Database 12c In-Memory Option 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any

More information

SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform

SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform SAS and Oracle: Big Data and Cloud Partnering Innovation Targets the Third Platform David Lawler, Oracle Senior Vice President, Product Management and Strategy Paul Kent, SAS Vice President, Big Data What

More information

ORACLE OLAP. Oracle OLAP is embedded in the Oracle Database kernel and runs in the same database process

ORACLE OLAP. Oracle OLAP is embedded in the Oracle Database kernel and runs in the same database process ORACLE OLAP KEY FEATURES AND BENEFITS FAST ANSWERS TO TOUGH QUESTIONS EASILY KEY FEATURES & BENEFITS World class analytic engine Superior query performance Simple SQL access to advanced analytics Enhanced

More information

Cloud Computing and Advanced Relationship Analytics

Cloud Computing and Advanced Relationship Analytics Cloud Computing and Advanced Relationship Analytics Using Objectivity/DB to Discover the Relationships in your Data By Brian Clark Vice President, Product Management Objectivity, Inc. 408 992 7136 brian.clark@objectivity.com

More information

ORACLE DATABASE 10G ENTERPRISE EDITION

ORACLE DATABASE 10G ENTERPRISE EDITION ORACLE DATABASE 10G ENTERPRISE EDITION OVERVIEW Oracle Database 10g Enterprise Edition is ideal for enterprises that ENTERPRISE EDITION For enterprises of any size For databases up to 8 Exabytes in size.

More information

Cisco UCS and Fusion- io take Big Data workloads to extreme performance in a small footprint: A case study with Oracle NoSQL database

Cisco UCS and Fusion- io take Big Data workloads to extreme performance in a small footprint: A case study with Oracle NoSQL database Cisco UCS and Fusion- io take Big Data workloads to extreme performance in a small footprint: A case study with Oracle NoSQL database Built up on Cisco s big data common platform architecture (CPA), a

More information

An Oracle White Paper May 2011. Exadata Smart Flash Cache and the Oracle Exadata Database Machine

An Oracle White Paper May 2011. Exadata Smart Flash Cache and the Oracle Exadata Database Machine An Oracle White Paper May 2011 Exadata Smart Flash Cache and the Oracle Exadata Database Machine Exadata Smart Flash Cache... 2 Oracle Database 11g: The First Flash Optimized Database... 2 Exadata Smart

More information

In-Memory Analytics for Big Data

In-Memory Analytics for Big Data In-Memory Analytics for Big Data Game-changing technology for faster, better insights WHITE PAPER SAS White Paper Table of Contents Introduction: A New Breed of Analytics... 1 SAS In-Memory Overview...

More information

With DDN Big Data Storage

With DDN Big Data Storage DDN Solution Brief Accelerate > ISR With DDN Big Data Storage The Way to Capture and Analyze the Growing Amount of Data Created by New Technologies 2012 DataDirect Networks. All Rights Reserved. The Big

More information

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances

IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances IBM Software Business Analytics Cognos Business Intelligence IBM Cognos 10: Enhancing query processing performance for IBM Netezza appliances 2 IBM Cognos 10: Enhancing query processing performance for

More information

Esri ArcGIS Server 10 for VMware Infrastructure

Esri ArcGIS Server 10 for VMware Infrastructure Esri ArcGIS Server 10 for VMware Infrastructure October 2011 DEPLOYMENT AND TECHNICAL CONSIDERATIONS GUIDE Table of Contents Introduction... 3 Esri ArcGIS Server 10 Overview.... 3 VMware Infrastructure

More information

Using In-Memory Computing to Simplify Big Data Analytics

Using In-Memory Computing to Simplify Big Data Analytics SCALEOUT SOFTWARE Using In-Memory Computing to Simplify Big Data Analytics by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 T he big data revolution is upon us, fed

More information

EMC VPLEX FAMILY. Continuous Availability and data Mobility Within and Across Data Centers

EMC VPLEX FAMILY. Continuous Availability and data Mobility Within and Across Data Centers EMC VPLEX FAMILY Continuous Availability and data Mobility Within and Across Data Centers DELIVERING CONTINUOUS AVAILABILITY AND DATA MOBILITY FOR MISSION CRITICAL APPLICATIONS Storage infrastructure is

More information

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database

Managing Big Data with Hadoop & Vertica. A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Managing Big Data with Hadoop & Vertica A look at integration between the Cloudera distribution for Hadoop and the Vertica Analytic Database Copyright Vertica Systems, Inc. October 2009 Cloudera and Vertica

More information

Using the Caché SQL Gateway

Using the Caché SQL Gateway Using the Caché SQL Gateway Version 2007.1 04 June 2007 InterSystems Corporation 1 Memorial Drive Cambridge MA 02142 www.intersystems.com Using the Caché SQL Gateway Caché Version 2007.1 04 June 2007 Copyright

More information

An Accenture Point of View. Oracle Exalytics brings speed and unparalleled flexibility to business analytics

An Accenture Point of View. Oracle Exalytics brings speed and unparalleled flexibility to business analytics An Accenture Point of View Oracle Exalytics brings speed and unparalleled flexibility to business analytics Keep your competitive edge with analytics When it comes to working smarter, organizations that

More information

BigMemory: Providing competitive advantage through in-memory data management

BigMemory: Providing competitive advantage through in-memory data management BUSINESS WHITE PAPER : Providing competitive advantage through in-memory data management : Ultra-fast RAM + big data = business power TABLE OF CONTENTS 1 Introduction 2 : two ways to drive real-time big

More information

Solving the Problem of Data Silos: Process and Architecture

Solving the Problem of Data Silos: Process and Architecture I NTE RS YS TE M S W HI TE PAPER Solving the Problem of Data Silos: Process and Architecture Run risk, compliance, and fraud detection applications on a comprehensive, global, and always up-to-date data

More information

Using an In-Memory Data Grid for Near Real-Time Data Analysis

Using an In-Memory Data Grid for Near Real-Time Data Analysis SCALEOUT SOFTWARE Using an In-Memory Data Grid for Near Real-Time Data Analysis by Dr. William Bain, ScaleOut Software, Inc. 2012 ScaleOut Software, Inc. 12/27/2012 IN today s competitive world, businesses

More information

Using In-Memory Data Fabric Architecture from SAP to Create Your Data Advantage

Using In-Memory Data Fabric Architecture from SAP to Create Your Data Advantage SAP HANA Using In-Memory Data Fabric Architecture from SAP to Create Your Data Advantage Deep analysis of data is making businesses like yours more competitive every day. We ve all heard the reasons: the

More information

EMC XtremSF: Delivering Next Generation Storage Performance for SQL Server

EMC XtremSF: Delivering Next Generation Storage Performance for SQL Server White Paper EMC XtremSF: Delivering Next Generation Storage Performance for SQL Server Abstract This white paper addresses the challenges currently facing business executives to store and process the growing

More information

Postgres Plus Advanced Server

Postgres Plus Advanced Server Postgres Plus Advanced Server An Updated Performance Benchmark An EnterpriseDB White Paper For DBAs, Application Developers & Enterprise Architects June 2013 Table of Contents Executive Summary...3 Benchmark

More information

Oracle Exalogic Elastic Cloud: A Brief Introduction

Oracle Exalogic Elastic Cloud: A Brief Introduction An Oracle White Paper March 2011 Oracle Exalogic Elastic Cloud: A Brief Introduction Disclaimer The following is intended to outline our general product direction. It is intended for information purposes

More information

Get More Scalability and Flexibility for Big Data

Get More Scalability and Flexibility for Big Data Solution Overview LexisNexis High-Performance Computing Cluster Systems Platform Get More Scalability and Flexibility for What You Will Learn Modern enterprises are challenged with the need to store and

More information

Software-defined Storage Architecture for Analytics Computing

Software-defined Storage Architecture for Analytics Computing Software-defined Storage Architecture for Analytics Computing Arati Joshi Performance Engineering Colin Eldridge File System Engineering Carlos Carrero Product Management June 2015 Reference Architecture

More information

EMC XTREMIO EXECUTIVE OVERVIEW

EMC XTREMIO EXECUTIVE OVERVIEW EMC XTREMIO EXECUTIVE OVERVIEW COMPANY BACKGROUND XtremIO develops enterprise data storage systems based completely on random access media such as flash solid-state drives (SSDs). By leveraging the underlying

More information

PROGRESS DATADIRECT QA AND PERFORMANCE TESTING EXTENSIVE TESTING ENSURES DATA CONNECTIVITY THAT WORKS

PROGRESS DATADIRECT QA AND PERFORMANCE TESTING EXTENSIVE TESTING ENSURES DATA CONNECTIVITY THAT WORKS Progress DataDirect Connect DATA SHEET PROGRESS DATADIRECT QA AND PERFORMANCE TESTING EXTENSIVE TESTING ENSURES DATA CONNECTIVITY THAT WORKS Progress DataDirect ODBC, JDBC and ADO.NET data connectivity

More information

An Oracle White Paper June 2009. Integration Technologies for Primavera Solutions

An Oracle White Paper June 2009. Integration Technologies for Primavera Solutions An Oracle White Paper June 2009 Integration Technologies for Primavera Solutions Introduction... 1 The Integration Challenge... 2 Integration Methods for Primavera Solutions... 2 Integration Application

More information

Data Protection with IBM TotalStorage NAS and NSI Double- Take Data Replication Software

Data Protection with IBM TotalStorage NAS and NSI Double- Take Data Replication Software Data Protection with IBM TotalStorage NAS and NSI Double- Take Data Replication September 2002 IBM Storage Products Division Raleigh, NC http://www.storage.ibm.com Table of contents Introduction... 3 Key

More information

An Oracle White Paper June 2012. High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database

An Oracle White Paper June 2012. High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database An Oracle White Paper June 2012 High Performance Connectors for Load and Access of Data from Hadoop to Oracle Database Executive Overview... 1 Introduction... 1 Oracle Loader for Hadoop... 2 Oracle Direct

More information

An Oracle White Paper November 2010. Oracle Real Application Clusters One Node: The Always On Single-Instance Database

An Oracle White Paper November 2010. Oracle Real Application Clusters One Node: The Always On Single-Instance Database An Oracle White Paper November 2010 Oracle Real Application Clusters One Node: The Always On Single-Instance Database Executive Summary... 1 Oracle Real Application Clusters One Node Overview... 1 Always

More information

TIBCO Live Datamart: Push-Based Real-Time Analytics

TIBCO Live Datamart: Push-Based Real-Time Analytics TIBCO Live Datamart: Push-Based Real-Time Analytics ABSTRACT TIBCO Live Datamart is a new approach to real-time analytics and data warehousing for environments where large volumes of data require a management

More information

Tips and Tricks for Using Oracle TimesTen In-Memory Database in the Application Tier

Tips and Tricks for Using Oracle TimesTen In-Memory Database in the Application Tier Tips and Tricks for Using Oracle TimesTen In-Memory Database in the Application Tier Simon Law TimesTen Product Manager, Oracle Meet The Experts: Andy Yao TimesTen Product Manager, Oracle Gagan Singh Senior

More information

Mobile Secure Desktop Maximum Scalability, Security and Availability for View with F5 Networks HOW-TO GUIDE

Mobile Secure Desktop Maximum Scalability, Security and Availability for View with F5 Networks HOW-TO GUIDE Mobile Secure Desktop Maximum Scalability, Security and Availability for View with F5 Networks HOW-TO GUIDE Solution Overview The VMware View Mobile Secure Desktop solution is a powerful architecture intended

More information

Innovative technology for big data analytics

Innovative technology for big data analytics Technical white paper Innovative technology for big data analytics The HP Vertica Analytics Platform database provides price/performance, scalability, availability, and ease of administration Table of

More information

The IBM Cognos Platform for Enterprise Business Intelligence

The IBM Cognos Platform for Enterprise Business Intelligence The IBM Cognos Platform for Enterprise Business Intelligence Highlights Optimize performance with in-memory processing and architecture enhancements Maximize the benefits of deploying business analytics

More information

Cloud Service Model. Selecting a cloud service model. Different cloud service models within the enterprise

Cloud Service Model. Selecting a cloud service model. Different cloud service models within the enterprise Cloud Service Model Selecting a cloud service model Different cloud service models within the enterprise Single cloud provider AWS for IaaS Azure for PaaS Force fit all solutions into the cloud service

More information

I n t e r S y S t e m S W h I t e P a P e r F O R H E A L T H C A R E IT E X E C U T I V E S. In accountable care

I n t e r S y S t e m S W h I t e P a P e r F O R H E A L T H C A R E IT E X E C U T I V E S. In accountable care I n t e r S y S t e m S W h I t e P a P e r F O R H E A L T H C A R E IT E X E C U T I V E S The Role of healthcare InfoRmaTIcs In accountable care I n t e r S y S t e m S W h I t e P a P e r F OR H E

More information

Enterprise Performance Tuning: Best Practices with SQL Server 2008 Analysis Services. By Ajay Goyal Consultant Scalability Experts, Inc.

Enterprise Performance Tuning: Best Practices with SQL Server 2008 Analysis Services. By Ajay Goyal Consultant Scalability Experts, Inc. Enterprise Performance Tuning: Best Practices with SQL Server 2008 Analysis Services By Ajay Goyal Consultant Scalability Experts, Inc. June 2009 Recommendations presented in this document should be thoroughly

More information

Performance And Scalability In Oracle9i And SQL Server 2000

Performance And Scalability In Oracle9i And SQL Server 2000 Performance And Scalability In Oracle9i And SQL Server 2000 Presented By : Phathisile Sibanda Supervisor : John Ebden 1 Presentation Overview Project Objectives Motivation -Why performance & Scalability

More information

Big data management with IBM General Parallel File System

Big data management with IBM General Parallel File System Big data management with IBM General Parallel File System Optimize storage management and boost your return on investment Highlights Handles the explosive growth of structured and unstructured data Offers

More information

ANALYTICS BUILT FOR INTERNET OF THINGS

ANALYTICS BUILT FOR INTERNET OF THINGS ANALYTICS BUILT FOR INTERNET OF THINGS Big Data Reporting is Out, Actionable Insights are In In recent years, it has become clear that data in itself has little relevance, it is the analysis of it that

More information

Availability Digest. www.availabilitydigest.com. Raima s High-Availability Embedded Database December 2011

Availability Digest. www.availabilitydigest.com. Raima s High-Availability Embedded Database December 2011 the Availability Digest Raima s High-Availability Embedded Database December 2011 Embedded processing systems are everywhere. You probably cannot go a day without interacting with dozens of these powerful

More information

Scaling Your Data to the Cloud

Scaling Your Data to the Cloud ZBDB Scaling Your Data to the Cloud Technical Overview White Paper POWERED BY Overview ZBDB Zettabyte Database is a new, fully managed data warehouse on the cloud, from SQream Technologies. By building

More information

SOLUTION BRIEF. TIBCO StreamBase for Algorithmic Trading

SOLUTION BRIEF. TIBCO StreamBase for Algorithmic Trading SOLUTION BRIEF TIBCO StreamBase for Algorithmic Trading Table of Contents 3 TIBCO StreamBase for Algorithmic Trading 4 Attributes and Capabilities 5 End-to-End Connectivity 5 Integration with Existing

More information

The Sierra Clustered Database Engine, the technology at the heart of

The Sierra Clustered Database Engine, the technology at the heart of A New Approach: Clustrix Sierra Database Engine The Sierra Clustered Database Engine, the technology at the heart of the Clustrix solution, is a shared-nothing environment that includes the Sierra Parallel

More information

DataStax Enterprise, powered by Apache Cassandra (TM)

DataStax Enterprise, powered by Apache Cassandra (TM) PerfAccel (TM) Performance Benchmark on Amazon: DataStax Enterprise, powered by Apache Cassandra (TM) Disclaimer: All of the documentation provided in this document, is copyright Datagres Technologies

More information

for BreaktHrougH HealtHcare SolutIonS

for BreaktHrougH HealtHcare SolutIonS InterSyStemS HealtHSHare: a StrategIc Platform for BreaktHrougH HealtHcare SolutIonS A Unique Business Opportunity for InterSystems Application Partners InterSyStemS HealtHSHare: a StrategIc Platform for

More information