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GridGain vs Hadoop Why Elephants Cant Fly GridGain System 1065 East Hillsdale Boulevard Suite 230 Foster City, CA 94404 www.gridgain.com GridGain In A Glance GridGain is Java based open source middleware for transactional real time big

  1. GridGain vs Hadoop Why Elephants Can’t Fly GridGain System 1065 East Hillsdale Boulevard Suite 230 Foster City, CA 94404 www.gridgain.com

  2. GridGain In A Glance GridGain is Java based open source middleware for transactional real time big data processing that scales up from one server to thousands of machines. Unlike complex, decade-old Hadoop MapReduce systems which use stale data for batch offline analytics, our platform allows companies to harness live data for smarter, faster real time processing. GridGain Real Time Big Data Slide 2

  3. GridGain History > GridGain ¡Systems ¡founded ¡in ¡2005 > VC ¡funded > Headquarter ¡in ¡Foster ¡City, ¡California, ¡USA > 12 ¡product ¡releases: > GridGain 1.x , Jul 2007 > GridGain 2.x , Feb 2008 > GridGain 3.0 , Aug 2010 > Current ¡release ¡is ¡GridGain ¡ 3.6 3 GridGain Real Time Big Data Slide

  4. GridGain Facts GridGain ¡starts ¡every ¡ 10 ¡seconds ¡around ¡the ¡globe Over ¡ 8,000,000 ¡starts ¡worldwide 1000 ¡unique ¡IP/month 400 ¡acIve ¡projects/month 4000 ¡forum ¡views/month GridGain Real Time Big Data Slide

  5. GridGain Users GridGain Partners GridGain Real Time Big Data Slide

  6. GridGain Technology > Fully integrated cloud middleware: Compute Grid + Data Grid > Real Time Transactional Big Data > Zero Deployment > Two editions: > Community Edition : License: GPLv3 + Basic Features > Enterprise Edition : Commercial License + Enterprise Features > Language support: > Java 1.6 > Scala 2.9.1 6 GridGain Real Time Big Data Slide

  7. GridGain - Compute Grid > Direct support for MapReduce > Auto discovery > Checkpoints for long running tasks > Load Balancing > Affinity co-location with data grids > Automatic fault tolerance GridGain Real Time Big Data Slide 7

  8. GridGain - Data Grid > Replication & Partitioning > Pessimistic & Optimistic Tx > Read-Through and Write-Through > Pluggable data overflow storage > Distributed Queries > Distributed Queues and Latches > Distributes Java Atomics 8 GridGain Real Time Big Data Slide

  9. Hadoop Processing > Very large data sets, BUT... > Not Real Time > Mandatory data snapshots > HDFS instead of live databases > Analytics based on offline data 9 GridGain Real Time Big Data Slide

  10. GridGain Processing > Large data sets > Near Real Time Processing > Online databases > In-memory data caching > Co-location of analytics and data > Business analytics on Live Data 10 GridGain Real Time Big Data Slide

  11. Live Coding - Real Time Word Count Real time uploading of books into Cache > Real time updates of word counts > Real time SQL queries for popular words > Real time print-outs of most popular words > ... using Scala & GridGain > Cloud ¡CompuIng ¡with ¡ Scala ¡and ¡ GridGain Slide ¡ 11

  12. Thank You! GridGain Real Time Big Data Slide 12

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