Confidential © 2014 Actian 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??

Confidential © 2014 Actian 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

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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

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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

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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?

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Re-platforming BI & Analytic Workloads to Hadoop
ISVs
Custom
Apps

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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

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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?

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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

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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?

Confidential © 2014 Actian Corporation12 Confidential © 2015 Actian Corporation12
Re-platforming BI & Analytic Workloads to Hadoop
Legacy HW & SW
Platforms
ISVs
Custom
Apps
QL

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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

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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

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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)

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Re-platforming BI & Analytic Workloads to Hadoop
Legacy HW & SW
Platforms
?Actian Vortex
w/ VectorH
ISVs
Custom
Apps
QL

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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..

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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?

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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

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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

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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!)

Confidential © 2014 Actian Corporation22 Confidential © 2015 Actian Corporation22
Re-platforming BI & Analytic Workloads to Hadoop
Legacy HW & SW
Platforms
?Actian Vortex
w/ VectorH
ISVs
Custom
Apps
QL

Confidential © 2014 Actian 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!

Confidential © 2014 Actian Corporation24 Confidential © 2015 Actian Corporation24
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