Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Workloads to Hadoop?

Can you Re-Platform your Teradata, Oracle, Netezza and SQL Server Analytic Workloads to Hadoop?

• 1.
  Confidential © 2014Actian Corporation1 Confidential © 2015 Actian Corporation1 Confidential © 2015 Actian Corporation Re-platforming Enterprise BI & Analytic Workloads to Hadoop Mike Hoskins, CTO June 2015 AKA: Can I move analytic workloads off Oracle, Teradata, SAP, IBM and Microsoft to Hadoop??
• 2.
  Confidential © 2014Actian Corporation2 Confidential © 2015 Actian Corporation2 Agenda • Who is Actian • Key Trends Shaping Big Data • Existing Analytic Workloads are “Hitting the Wall” • Can I Re-platform to Hadoop? • After Re-platforming, then What? • Summary
• 3.
  Confidential © 2014Actian Corporation3 Confidential © 2015 Actian Corporation3 Who is Actian? $140M Revenues + Profitable 10,000+ Customers Global Presence: 8 world-wide offices, 7x 24 multinational support model End to End Big Data Platform. Disruptive Price Performance. 3 “Actian Analytics demonstrates that the company now has an impressive range of offerings that have been rebranded and combined in a pretty comprehensive framework.” 451 Research “Actian is now very powerfully positioned in the big data and data analytics markets.” Bloor Group 3
• 4.
  Confidential © 2014Actian Corporation4 Confidential © 2015 Actian Corporation4 SQL BI & Analytics Actian AAP Supporting: Kafka, HBase, Ambari, YARN, Spark, Ranger, Atlas “Vortex” on Hadoop Predictive Analytics The Wiz Data Scientist IT Sophisticate CIO Maestro Business Analyst Speed Demon Actian Vortex: Analytic Pipelines for Big Data
• 5.
  Confidential © 2014Actian Corporation5 Confidential © 2015 Actian Corporation5 Key Trends • Modern Software • Fully distributed data & compute, on commodity HW • Elastic, Super-scaling, Hyper-parallelized • The Rise of Analytic Workloads • Hadoop is pushing the Analytic Frontier • But what about existing Enterprise BI & Analytic Workloads?
• 6.
  Confidential © 2014Actian Corporation6 Confidential © 2015 Actian Corporation6 Re-platforming BI & Analytic Workloads to Hadoop ISVs Custom Apps
• 7.
  Confidential © 2014Actian Corporation7 Confidential © 2015 Actian Corporation7 Enterprise Analytic Workloads • Enterprise Analytic Workloads are pervasive • They are gaining Strategic Value, since Business Value increasingly comes from this “analytic tier” • Grow revenue via better marketing and customer analytics • Reduce cost via better fraud detection and payment analytics • Mitigate risk via better compliance and cyber analytics
• 8.
  Confidential © 2014Actian Corporation8 Confidential © 2015 Actian Corporation8
• 9.
  Confidential © 2014Actian Corporation9 Confidential © 2015 Actian Corporation9 But Enterprise Analytic Workloads are Starting to “Break” • We hear from our Customers and Prospects that many of these Enterprise Analytic Workloads are “breaking” • Performance is not keeping up with data volumes • Too slow for modern iterative analytic techniques • Too distant from the new data sources that are driving new analytic insights • Too costly • Built on 35 year-old technology and architecture • These users often feel “trapped” in a dead-end, what is the cause?
• 10.
  Confidential © 2014Actian Corporation10 Confidential © 2015 Actian Corporation10 In Enterprise Analytic Workloads Databases are the Weak Link • Big Data is exposing the legacy “database tier” as the weak link in existing Enterprise Analytic Workloads • Can’t deal with volume • Can’t deliver on the promise of new advanced analytics • Bottom line: legacy Databases don’t perform for modern analytic workloads • Why are they failing? • Why is this failure so punishing to their customers? • The Performance “Edge” is critical to analytic success
• 11.
  Confidential © 2014Actian Corporation11 Confidential © 2015 Actian Corporation11 Enterprise Analytic Workloads – What to do? • How to preserve (and even grow) the huge Value contained in this ubiquitous “analytic tier”? • How to optimize and future-proof these vital Enterprise Analytic Workloads? • Is there a “modern” platform out there to save the day?
• 12.
  Confidential © 2014Actian Corporation12 Confidential © 2015 Actian Corporation12 Re-platforming BI & Analytic Workloads to Hadoop Legacy HW & SW Platforms ISVs Custom Apps QL
• 13.
  Confidential © 2014Actian Corporation13 Confidential © 2015 Actian Corporation13 Can my Enterprise BI & Analytics be Re-platformed to Hadoop? • Yes! • The key is SQL • Thousands of SQL Tools and Apps, and millions of vital SQL workloads are currently plugged into legacy databases that are losing the crucial price/performance battle • Many of these SQL analytic workloads are candidates to “re-platform” to a modern SQL database running in Hadoop
• 14.
  Confidential © 2014Actian Corporation14 Confidential © 2015 Actian Corporation14 But is Hadoop Ready for Enterprise-class SQL Workloads? • Hadoop is still very immature when it comes to SQL • The missing piece is a production-grade, enterprise class, columnar analytic database • Surveying the SQL-in-Hadoop landscape: • Legacy players? • Existing SQL-in-Hadoop offerings? • Wrapped Legacy • Immature or Query-only
• 15.
  Confidential © 2014Actian Corporation15 Confidential © 2015 Actian Corporation15 Enter VectorH: Enterprise-class, Low-latency SQL-in-Hadoop • Established and Open • Deep innovation yields extreme high-performance • Inventors of vector-processing in modern databases • Persistent, ACID and full CRUD • Enterprise capabilities • Full SQL compliance • Plug-n-play your favorite SQL Client (it just works! And lightning fast)
• 16.
  Confidential © 2014Actian Corporation16 Confidential © 2015 Actian Corporation16 Re-platforming BI & Analytic Workloads to Hadoop Legacy HW & SW Platforms ?Actian Vortex w/ VectorH ISVs Custom Apps QL
• 17.
  Confidential © 2014Actian Corporation17 Confidential © 2015 Actian Corporation17 Looking at some Re-platforming Cases: • Top global retail bank • Re-platform from Oracle to VectorH • Top media company • Re-platform from Teradata to VectorH • Top healthcare company • Re-platform from SQL Server to VectorH • And others..
• 18.
  Confidential © 2014Actian Corporation18 Confidential © 2015 Actian Corporation18 Re-Platforming Guidelines • Avoid “rip and replace” (we are not replacing the legacy database, we are optimizing and future-proofing key analytic workloads by moving them to a modern database on a modern platform) • Watch where Business Logic resides? • Set up data interfaces • One-time data migration • Ongoing one-way replication? • Leverage existing or new database load pipelines?
• 19.
  Confidential © 2014Actian Corporation19 Confidential © 2015 Actian Corporation19 Re-Platforming Guidelines (Part 2) • Target the most “broken” analytic workloads • Analytic apps? • Enterprise reporting? • Ad-hoc query/BI and data discovery? • DM/DW/EDW? • And ideally those with the “cleanest” SQL
• 20.
  Confidential © 2014Actian Corporation20 Confidential © 2015 Actian Corporation20 Tailwinds from Re-platforming to Vector on Hadoop • Moving compute to where the data lives • Fully open data tier (the end of vendor lock-in!) • Benefit from deep innovation in Ingest Frameworks • Better equipped to handle streaming/realtime sources • Ability to exploit more unstructured data sources
• 21.
  Confidential © 2014Actian Corporation21 Confidential © 2015 Actian Corporation21 Tailwinds from Re-platforming to Vector on Hadoop (Part 2) • Better support for the imminent IoT explosion • Leverage the burgeoning Apache ecosystem • Make world-class SQL available to ALL your existing and future Hadoop workloads • Tap into a rich vein of Hadoop “veterans” who can enable and even accelerate the next great wave of Hadoop adoption (*yes, that’s you folks in the room!)
• 22.
  Confidential © 2014Actian Corporation22 Confidential © 2015 Actian Corporation22 Re-platforming BI & Analytic Workloads to Hadoop Legacy HW & SW Platforms ?Actian Vortex w/ VectorH ISVs Custom Apps QL
• 23.
  Confidential © 2014Actian Corporation23 Confidential © 2015 Actian Corporation23 Summary • The Early Majority wave is about to sweep over Hadoop, and one of the key drivers will be the re-platforming of existing SQL-based Enterprise Analytic Workloads to Hadoop • The key enabler is richness and performance of your SQL-in-Hadoop • Make the right SQL-in-Hadoop choice and speed your transition from the last 30 years to the next 30 years!
• 24.
  Confidential © 2014Actian Corporation24 Confidential © 2015 Actian Corporation24 www.actian.com facebook.com/actiancorp @actiancorp Thank You