SQL Server 2014. In-Memory by Design. Anu Ganesan August 8, 2014



Similar documents
SQL 2016 and SQL Azure

Updating Your Skills to SQL Server 2016

Course Outline. Upgrading Your Skills to SQL Server 2016 Course 10986A: 5 days Instructor Led

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

SQL Server What s New? Christopher Speer. Technology Solution Specialist (SQL Server, BizTalk Server, Power BI, Azure) v-cspeer@microsoft.

Tagetik Extends Customer Value with SQL Server 2012

SQL Server 2012 Performance White Paper

New hybrid cloud scenarios with SQL Server Matt Smith 6/4/2014

Microsoft Data Platform Evolution

SQL Server In-Memory OLTP and Columnstore Feature Comparison

SQL Server 2016 New Features!

Course 10977A: Updating Your SQL Server Skills to Microsoft SQL Server 2014

Parallel Data Warehouse

Ariett Purchasing & Expense Management. Go Paperless, Go Mobile, Go Easy.

SQL Server 2014 New Features/In- Memory Store. Juergen Thomas Microsoft Corporation

Introducing Oracle Exalytics In-Memory Machine

SQL Server 2016 BI Any Data, Anytime, Anywhere. Phua Chiu Kiang PCK CONSULTING MVP (Data Platform)

Microsoft Analytics Platform System. Solution Brief

Big Data Use Case. How Rackspace is using Private Cloud for Big Data. Bryan Thompson. May 8th, 2013

Oracle Database 12c Plug In. Switch On. Get SMART.

Modern Data Warehousing

Improve Business Productivity and User Experience with a SanDisk Powered SQL Server 2014 In-Memory OLTP Database

Why DBMSs Matter More than Ever in the Big Data Era

Oracle MulBtenant Customer Success Stories

DEMYSTIFYING THE CLOUD

WITH A FUSION POWERED SQL SERVER 2014 IN-MEMORY OLTP DATABASE

Einsatzfelder von IBM PureData Systems und Ihre Vorteile.

The New Economics of SAP Business Suite powered by SAP HANA SAP AG. All rights reserved. 2

SQL Server 2012 Parallel Data Warehouse. Solution Brief

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

Driving Peak Performance IBM Corporation

From Spark to Ignition:

How To Use Hp Vertica Ondemand

SAP HANA Reinventing Real-Time Businesses through Innovation, Value & Simplicity. Eduardo Rodrigues October 2013

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

Microsoft Azure Cloud on your terms. Start your cloud journey.

2015 Ironside Group, Inc. 2

SQL Server and MicroStrategy: Functional Overview Including Recommendations for Performance Optimization. MicroStrategy World 2016

SQL in the Cloud: Is it Game Changing? V P P r o f e s s i o n a l S e r v i c e s

Updating Your SQL Server Skills to Microsoft SQL Server 2014

Updating Your SQL Server Skills to Microsoft SQL Server 2014

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

Please give me your feedback

Oracle Database 11g Comparison Chart

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

Safe Harbor Statement

SAP Real-time Data Platform. April 2013

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

How to leverage SAP HANA for fast ROI and business advantage 5 STEPS. to success. with SAP HANA. Unleashing the value of HANA

SAP HANA. SAP HANA Performance Efficient Speed and Scale-Out for Real-Time Business Intelligence

PostgreSQL Business Intelligence & Performance Simon Riggs CTO, 2ndQuadrant PostgreSQL Major Contributor

10977B: Updating Your SQL Server Skills to Microsoft SQL Server 2014

Cloud OS Vision. Modern platform for the world s apps

Big Data Analytics: Today's Gold Rush November 20, 2013

The Brave New World of Power BI and Hybrid Cloud

Course 10977: Updating Your SQL Server Skills to Microsoft SQL Server 2014

ScaleArc for SQL Server

Complex, true real-time analytics on massive, changing datasets.

Big Data Technologies Compared June 2014

Microsoft SQL Server. Achieving mission-critical application performance with SQL Server

Cisco Business Intelligence Appliance for SAP

Netezza and Business Analytics Synergy

TE's Analytics on Hadoop and SAP HANA Using SAP Vora

A HIGH-PERFORMANCE, SCALABLE BIG DATA APPLIANCE LAURA CHU-VIAL, SENIOR PRODUCT MARKETING MANAGER JOACHIM RAHMFELD, VP FIELD ALLIANCES OF SAP

SharePoint 2010 Performance and Capacity Planning Best Practices

CitusDB Architecture for Real-Time Big Data

Who Dares Wins SQL Server Consolidation in the Cloud. Ellis Herbert - TRU. Andrew Boudreau - Microsoft

How To Handle Big Data With A Data Scientist

Maximum performance, minimal risk for data warehousing

In-memory computing with SAP HANA

SAP HANA SAP s In-Memory Database. Dr. Martin Kittel, SAP HANA Development January 16, 2013

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence

Inge Os Sales Consulting Manager Oracle Norway

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

Updating Your SQL Server Skills from Microsoft SQL Server 2008 to Microsoft SQL Server 2014

Semplicità ed Innovazione a portata di mano

Performance Verbesserung von SAP BW mit SQL Server Columnstore

Upgrading Your SQL Server Skills to Microsoft SQL Server 2014 va

The cloud that s built for your business.

Nutanix Solutions for Private Cloud. Kees Baggerman Performance and Solution Engineer

Oracle Database In-Memory The Next Big Thing

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

SAP Business Suite powered by SAP HANA

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

Toronto 26 th SAP BI. Leap Forward with SAP

iservdb The database closest to you IDEAS Institute

Oracle Exalytics Briefing

MySQL és Hadoop mint Big Data platform (SQL + NoSQL = MySQL Cluster?!)

SAP HANA Cloud Platform Overview Customer

INTRODUCING CLOUD POWER

IoT Business Solutions

Transcription:

SQL Server 2014 In-Memory by Design Anu Ganesan August 8, 2014

Drive Real-Time Business with Real-Time Insights Faster transactions Faster queries Faster insights All built-in to SQL Server 2014. 2

Drive Real-Time Business with Real-Time Insights Faster Transactions IN-MEMORY OLTP Faster Queries IN-MEMORY DW Faster Insights IN-MEMORY ANALYTICS Up to 30x faster transaction processing with In-Memory OLTP Billions of rows per second with PowerPivot In-Memory for Excel Over 100x query speed and significant data compression with In-Memory ColumnStore Greater performance with In-Memory Analysis Services 3

The Journey to Complete In-Memory 2008 R2 2012 2014 PowerPivot In-Memory for Excel PowerPivot In-Memory for Excel Analysis Services In-Memory In-Memory ColumnStore PowerPivot In-Memory for Excel Analysis Services In-Memory Enhanced In-Memory ColumnStore In-Memory OLTP In-Memory in the cloud 4

1990 1991 1992 1993 1994 1994 1995 1996 1997 1998 1999 2000 2000 2001 2002 2004 2005 2007 2008 2009 2011 US$/GB Key Trends impacting In-Memory Design Decreasing Cost of Memory $/GB of Memory 1,000,000 CPU Performance Flattening Out 10,000,000 1,000,000 100,000 100,000 10,000 10,000 1,000 100 1,000 100 10 10 1 1 0 1970 1975 1980 1985 1990 1995 2000 2005 2010 5

Built-In Flexible Increased Speed & Throughput Accelerated Analytics Easy to Implement 6

In-Memory Built-In Key Benefits Leverage familiar tools No costly add-ons Works seamlessly with existing SQL Server features Use the same tools across services Familiar Dev & Management Tools New! In-Memory Relational Data Services Disk-based Relational Data Services Windows Azure Infrastructure Services Real-time data access Write speed of 200 million rows in 15 minutes 7

In-Memory Flexibility Key Benefits The entire DB doesn t need to be In-Memory Minimize capex as data volumes grow Application Access In-Memory and on-disk with a single query Don t need to rewrite entire app Warm and hot data Cold Data 10x Faster performance On-Disk Exponential growth Single Query with scalability and reduced operating costs 8

In-Memory for Increased Throughput & Speed Key Benefits Optimized table structures No locks or latches with 100% data durability Greater throughput with no locks or latches App 30x faster transactions Natively compile stored procedures in-memory Up to 30x transactional performance gains Before After OLTP Stored Procedures To describe Hekaton in two words, it s wicked fast. Rick Kutschera, Bwin 16x faster transactions 35x faster transactions 9

Accelerated Analytics with In-Memory Key Benefits Quickly explore massive data volumes Dramatically compress data Over 100x faster query performance Faster time to insights Advanced data compression In-Memory ColumnStore Advanced Analytics with InMemory It can take up to 3 hours to aggregate data from billions of table rows. (Now) it takes 45 minutes to update the index, and then reports can be run on-demand with sub-second response. - Kevin Cornett, Stein Mart 10,800x faster queries 340x faster queries 2,400x faster queries 10

Easy In-Memory Implementation Key Benefits Easy to move apps Use existing hardware No new skills it s just SQL New In-Memory migration advisor tools Table Migration Stored Procedure Migration SQL Server 2014 helps us scale our system without doing any significant code changes, so there s a host of development work we don't have to do. - Phil Grayson, TPP Easy Migration of existing tables and no significant changes required 7x faster performance enables near real-time access 11

Drive Real-Time Business with Real-Time Insights Speed insights across all data, with SQL Server on-premises or in Windows Azure In-Memory OLTP Up to 30x faster PowerBI for Office 365 Better business decision, faster Firewall In-Memory DW Over 100x faster In-Memory Analytics Billions of rows in seconds 12

Business Challenge Key Benefits

Inventory changes Real-time purchasing trends Mobile data SQL Server 2014 Social sentiment Current events Market demand Imagine a new level of customer personalization by acting on a world of data in real-time 14

Demo 15

SQL Server 2014 Imagine a new level of customer personalization by acting on a world of data in real-time