This document discusses how Infobright's analytic database platform can help solution providers address challenges around increasing data volumes and analytics demands. It highlights Infobright's columnar architecture and knowledge grid technology which provides fast loading, high compression rates, and rapid query performance to help solution providers scale their offerings. Examples are given of customers like JDS Uniphase and Polystar who were able to improve loading speeds, data retention, query speeds and reduce costs by embedding Infobright.

1. Embedding Infobright Enterprise Edition for
Competitive Advantage
Confidential – Do Not Distribute 1

2. Agenda & Housekeeping
 Agenda:
– The OEM Challenge
– Infobright Enterprise Edition for OEMs
– OEM Customer Examples
– Q&A
 Housekeeping
– Submit questions through the Q&A
window
– Recording will be available within 24
hours
Confidential – Do Not Distribute 2
Michael
Hackney, Head
of Product
Development
Jeff Kibler,
Director Field
Services &
Support

3. Who is Infobright
Global provider of
database analytics
platforms to over 450
OEM and direct
customers in the
telecom, digital media
and marketing, financial
services and solution
provider markets.

4. As data volumes increase, companies are
looking to find more meaningful value in
their data.

5. Driving Value Out of Data
Network
Network optimization
Troubleshooting
Capacity Planning
Customer Assurance
Fraud Detection
CDRs
Customer Behavior Analysis
Marketing Campaigns/Services
Analysis
Optimize Network Capacity
Fraud Detection
Compliance and Audit
Advertising
Click Through Analytics
Engagement Analytics
Device Analytics
Customer Behavior Analysis
Confidential – Do Not Distribute 5

6. Your Customer Demands
Store more data
Deliver answers almost
as fast as the data
comes in
Reduce operational and
capital expense
Confidential – Do Not Distribute 6

7. Solution providers face new challenges as
application architectures buckle under the
speed and volume of data being
generated.
Confidential – Do Not Distribute 7

8. Solution Provider Battle
Shortening time to market
in intense competitive
environment
Scalability issues hindering
performance
Maintaining margins while
delivering increasingly
complex services
Confidential – Do Not Distribute 8

9. Options for Meeting the Challenge
Stick with what
you have
• Pros:
-Familiar technology
-No integration effort
• Cons:
- CAPEX
- OPEX
- Customer satisfaction
Rip & Replace:
Open Source
• Pros:
- Lots of choice
- No royalty fees
• Cons:
- OS license restrictions
- Time to market
- 3rd party support cost
Rip & Replace:
Commercial
• Pros:
- Address shortcomings
- Supported
• Cons:
- Cost
- Developer learning curve
- Proprietary Technology
Confidential – Do Not Distribute 9

10. Leading technology and solution providers
embed Infobright’s analytic database
platform to deliver customers’ data
management and analytics requirements.
Confidential – Do Not Distribute 10

11. Infobright Powers Big Data
Confidential – Do Not Distribute 11

12. How we do it
Confidential – Do Not Distribute 12

13. Column vs. Row
Row Oriented
All the columns are
needed
Transactional
processing is required
Column Oriented
Only relevant columns
are needed
Reports are aggregates
(sum, count, average,
etc.)

14. The Knowledge Grid Architecture
Confidential – Do Not Distribute 14

15. Data Loading Process: Compression &
Knowledge Grid
…
…
…
64K
64K
64K
64K
Data packs
compressed
On-Disk storage
In Memory
Knowledge Grid
A B C

16. The Knowledge Grid: At Work
 Knowledge Nodes
answer the query
directly, or
 Identify only required
Data Packs, minimizing
decompression, and
 Predict required data in
advance based on
workload

17. Faster Time to Market: Architectural Flexibility
INFOBRIGHT & MYSQL INFOBRIGHT & POSTGRES
Confidential – Do Not Distribute 17

18. Increased Solution Value
 Load speeds:
– Concurrent loading into single or
multiple tables
– 2TB+ per hour
 Query performance
– Ad hoc queries that may take hours
with other databases run in minutes;
– Queries that take minutes with other
databases run in seconds
 Scale
– 150TB+
Confidential – Do Not Distribute 18
Knowledge Grid
Compressed Data

19. Reduced Cost of Goods Sold
Reduction in CAPEX
– Minimal hardware cost reduction from
compression and single server
Reduced administrative overhead
– No data partitioning, no indexes, no
projections, no manual tuning
 Licensing model
– Flexible to meet OEM business models
Confidential – Do Not Distribute 19
Original
Data
10 TB
Compressed
Data
500 GB
Average
compression
20:1

20. “Infobright provides real-time data availability
and allows users to quickly drill down for ad-hoc
analysis and reporting to ensure the highest degree
of security for their critical network infrastructure.”
Patrick Sweeney, VP, Product Management, Dell
SonicWALL
Confidential – Do Not Distribute 20

21. Customer Example: JDS Uniphase
Requirements
Low Admin: Do not want to force
customers to require DBA’s to keep
solution running
Load Speeds: Ingestion rates
continue to increase, placing heavy
burden on solutions
High Compression: Want to keep
longer histories in less space
Lower TCO: Resulting in better
value for customers, better
margins for providers
Results
Stripped Away “DBA” tax
requirement required by previous
versions
Ingesting over 1TB/Hour, with
significant headroom beyond that
Over 3X the retention period
and a 5X simultaneous reduction in
storage requirement
Lower TCO for users, higher
margins for JDSU
Little to No Admin
Fast Load Speeds
20:1+ Compression
Exceptional Ad Hoc
Query Performance
Very Low TCO
21

22. Customer Example: Polystar
Requirements
Query Performance: Ad-hoc
queries were often not returning
Load Speeds: Slow and
cumbersome as volume
approached 1 billion records/min
High Compression: Different
customers need data for different
historical periods
Lower TCO: Maintain margins
while adding additional value to
customers
Results
Queries returned in seconds as
a result of Knowledge Grid
architecture
Data uploaded in near real time
allowing Polystar to write xDRs 4x
faster
Extended data retention
enabling customers to 90-180 days
of data
Lower TCO for users, higher
margins for Polystar with cost
effective hardware configurations
Exceptional Ad Hoc
Query Performance
Fast Load Speeds
20:1+ Compression
Very Low TCO
22

23. Built for Solution Providers
 Flexible pricing model aligned to GTM
– Per customer, per server, SaaS, etc.
Support
– Beta program
– 24x7 service level agreements
Training
– Minimal training required
– Provided onsite or remote
Confidential – Do Not Distribute 23

24. Infobright Delivers
Solution Value
Fast Load
Query
Performance
Scale up
quickly
Time to Market
Flexible
architecture
Low learning
curve
Ease of
implementation
Reduced CoGs
Industry
leading
compression
Lower
hardware cost
Lower DBA
overhead
Confidential – Do Not Distribute 24

25. Thank you
Questions?
Confidential – Do Not Distribute 25