BitYota. Press/Analyst Presentation. Dev Patel, CEO

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1 BitYota Press/Analyst Presentation Dev Patel, CEO November 2012

2 BitYota: Who we are Problem Solution Customers Background Opportunity Team Today s big data analytics is either a Big Cost or a Big Headache or both for companies of all sizes. Users have to learn new skills and CEOs need to buy uniquely engineered, prohibitively expensive systems. BitYota offers a better alternative: A Warehouse-as-a-service for Big Data analytics. This SaaS offering takes away both big cost and big headache, making analytics accessible to everyone at scale, with no compromise on functionality or service levels. Beta customers in: Ad tech, Edu tech, Social and Mobile apps. Founded Sep 2011 by data experts: Dev Patel, Harmeek Bedi and Soren Riise. Company has raised $12M through Seed & Series A from Globespan Capital, Social+Capital Partnership, Dawn Capital, Andreessen Horowitz, Crosslink Capital, Morado Ventures, & individual investors Maynard Webb, Graham Summers, Jerry Yang and Sharmila Mulligan. Companies are increasingly looking to gain insights from their data via analytics. Analytics for big data in the cloud is BitYota s opportunity. Management: Dev Patel, CEO; Harmeek Singh Bedi, CTO; Soren Riise, Chief Cloud Service; Poulomi Damany, VP Product. Its core team has 35+ years of big data experience at Yahoo!, Oracle, Veritas/Symantec, Informix, BMC, Kabira/Tibco, and Twitter.

3 Does This Sound Like You? You re a company that just launched.. And you need some critical insights for what s next OR Your data infrastructure can t scale.. And you can t spare any more engineers or money to maintain it OR You re a company that just launched You have lots of data in multiple silos.. And it takes too long for your analysts to get answers Today s Big Data = Big Cost/Big Headache 3

4 It Doesn t Have to Be This Way 4

5 Warehouse-as-a-Service for Big Data 100% SaaS No hardware, no software, no maintenance no headache Flexible pre-set data policies, data visibility rules, quotas etc Accessible via Web UI, CLIs toolkit REST APIs drive everything One-Click Data Integration Load data from multiple sources in multiple formats Automatic detection format, schema, rate of change, etc Built-in scheduler to load data at preset frequency from source Open, Accessible Analytics for Everyone: Analysts, Prod Mgrs, Developers True SQL-92 support + Bring Your Own Algo written in Javascript, Perl, Python, etc Use your favorite BI tool (via ODBC) on top to access ALL your stored data Real-time and batch analytics together in one place Built for the Cloud Runs on commodity hardware & GigE networks Scales affordably with volume of users and data 5

6 Beta clients in Ad Tech, Edu Tech, Social, Mobile 1. Ad tech: an e-tailer determining the likelihood of a user clicking on an offer by modeling likelihood of conversion across millions of users. Previously done 1/month on a homegrown system. Using BitYota s DWS to run the same reduced time from 9 hours to 5 min and now insights are fresh, leading to more revenue. 2. Edu tech: Games company building learning apps for pre-school kids. Uploading events data quickly in BitYota allowed to provide timely metrics showing the child s progress within an age group as well as build daily customized learning plans for each child. 3. Social: Social media marketing company with 1000s of different communities; data in semi-structured JSON files and is fast changing as product features change. Product team can now get metrics to determine value of new features within hours from days. 6

7 BitYota Customers: Cognitive Match, an Ad Tech company Agnitus, an Edu Tech company For Cognitive Match, the decision to test-drive BitYota was all about productivity, says Alex Kelleher, CEO of Cognitive Match, a leading dynamic ad optimization company. The BitYota Cloud Data Warehouse is quick and easy to setup and seamlessly plug into our existing data infrastructure. This means no additional burden on our engineering team or operational systems at all. Best of all, the SQL92-compliant interface meant our analysts can query data without any additional training or limitations. Agnitus' gaming model consists of multiple games that are tailored to the individual learning habits of each child. Before BitYota it was incredibly challenging to extract meaningful data to understand how children are progressing as they play, said Lance Vikaros, Executive Director of Education at Agnitus, a leading developer of touch enabled learning apps for children. BitYota enables us to fully customize data queries directly, making it easy to generate reports anytime and anywhere the company needs. Fast, customized reporting means that I can focus less on data management and more on understanding how to improve our games to better support children's success in school. 7

8 BitYota SaaS: First deployment on AWS Accessible Analytics SQL 92 Query Custom Programs BI Tools Scripting, R ODBC REST Web Services 1-Click Data Integration Streaming & Batch Data Monitoring Custom Data Policies Config for Storage On- Demand Provisioni ng 100% SaaS Built for the Cloud Massively Parallel Analytics Engine S3 EBS. 8

9 Recap BitYota is a new SaaS, offering a Warehouse-as-a-Service for Big Data Analytics. Its core attributes are: 100% SaaS One-click data integration Fast analytics at Scale using familiar tools - built on a massively parallel engine designed for the cloud and driven using SQL Technology has been in development since Sep 2011 Its team is very experienced in building big data technologies & the company is backed by top VCs in the Valley and UK. 9

10 Market Opportunity Market for big data technology and services will grow from $3.2Bn in 2010 to $16.9Bn in 2015, at a CAGR of 40%. The forecast is split between software, 34.2%; servers, $27.3%; storage, 61.4%. IDC defines Big Data Technology and Services to include: Data collected is >100TB Real-time, streaming & monitoring, i.e. Big Data in motion Data sets growing at rate of 60% per year BitYota target addressable market will be a portion of the $5.8Bn (34.2% of $16.9 Bn) that will be operating on Public Clouds. Our estimate is approximately $3Bn *According to IDC, March 12 10

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