rainstor 3.5 overview

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Information Preservation RainStor Reduce. Retain. Retrieve.

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RainStor is a specialized repository for historical structured data retention. This sildeshare is an introduction to RainStor.

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Page 1: RainStor 3.5 Overview

InformationPreservation

RainStorReduce. Retain. Retrieve.

Page 2: RainStor 3.5 Overview

© RainStor 2009

RainStor – Company Background

• 20+ employees• Formerly Clearpace Software• Technology developed in UK defense industry• Partner focused go-to-market strategy• Over 50 customer deployments, cross industry and geography• Offices in San Francisco, USA and Gloucester, UK• Provides disruptive technology for preserving structured data

“Making the Big Data problem smaller”

Page 3: RainStor 3.5 Overview

© RainStor 2009

What’s New at RainStor

• RainStor enters the US market• New San Francisco HQ to support growing partner portfolio• New US-based employees to drive international growth• CEO relocates to USA

• RainStor 3.5 now generally available• Architected for BIG DATA• Optimized for cost-efficient scalability in the enterprise and the cloud

• RainStor signs new partners• Informatica extends partnership• Group2000 becomes latest Telco partner

Page 4: RainStor 3.5 Overview

© RainStor 2009

RainStor - Overview

RainStor is an infrastructure software company that provides the leading repository

for historical structured data.

We enable our partners to deliver online data retention solutions that reduce the cost and complexity of

preserving information in the enterprise and the cloud.

Page 5: RainStor 3.5 Overview

© RainStor 2009

Big Data Retention Problem

• Massive data and storage growth

• Strong business and regulatory drivers

• Requirements outstripping resources

Page 6: RainStor 3.5 Overview

© RainStor 2009

RainStor’s Patented Technology

Peter PharmaceuticalSmith $40,000

Peter

$35,000

PharmaceuticalSmith

Paul

$40,000

Finance

Brown

Peter

$35,000

PharmaceuticalSmith

Paul

$40,000

Finance

John

• De-dupe for databases

• Stores unique values and patterns

• Full access to data without re-inflation

• Highly efficient in memory and on disk

• Patented

Page 7: RainStor 3.5 Overview

© RainStor 2009

Big Data Retention Example: CDR Records

Traditional database technologies not economically viable!

Page 8: RainStor 3.5 Overview

© RainStor 2009

Big Data Retention Example: CDR Records

Traditional database technologies not economically viable!

RainStor Solution:1/20th hardware1/40th storageNo design, tuning or maintenance

RainStor requires 20x less hardware, 40x less storage and minimal resources.

Page 9: RainStor 3.5 Overview

© RainStor 2009

Product

• Reduce • Extreme data dedupe compression ~40:1

• No schema or index design• Minimal ongoing management

• Retrieve

• Full SQL access (ODBC/JDBC) • Schema evolution preserved• Query ‘AS OF’ prior point in time

• Retain• Original records stored• Immutable data model• Data retention policies

Page 10: RainStor 3.5 Overview

© RainStor 2009

RainStor – Cloud Architecture

EC2

S3

VM Software Appliance

ODBC/JDBC

Amazon

1. Compressed de-duplicated data sent to the cloud resulting in quicker and cheaper uploads.

2. Encrypted data stored in private containers ensuring security and easy management.

3. Data accessed on demand using standard SQL tools leveraging elasticity of the cloud

Page 11: RainStor 3.5 Overview

© RainStor 2009

Low-cost and Low-touch

Page 12: RainStor 3.5 Overview

© RainStor 2009

Solutions “Powered by RainStor”

• Log and Event Retention – Retain log and event data captured from networks that must be preserved and analyzed for regulatory or security reasons.

• Application Retirement – Retain historical data from legacy applications that must be retired during migrations to new enterprise software applications or SaaS.

 • SaaS Data Escrow – Provide a third-party copy of SaaS data to ensure the data

within SaaS applications is always available or provide more flexible reporting.

• Application Archiving - Retain inactive data that must be offloaded from production databases to improve system performance and reduce maintenance costs.

• Warehouse Archiving - Retain cold data that is infrequently accessed within data warehouses but might need to be re-instantiated in the future.

• Appliance Archiving – Retain data that must be removed from appliances as they reach capacity

Page 13: RainStor 3.5 Overview

© RainStor 2009

Partner Case Studies

Adaptive Mobile

• Sector : Telco

• Solution : Message (SMS/MMS) and traffic log management

• Retaining 1000s of messages a second while keeping accessible for regulatory purposes

OnPoint Technologies

• Sector : Public

• Solution : Unemployment records management

• Storing data from dozens of distinct applications with no design and providing flexible analysis for fraud

Informatica

• Sector : Various/Horizontal

• Solution : ILM

• Retaining historical data from highly complex packaged applications while keeping accessible for business and regulatory purposes

Page 14: RainStor 3.5 Overview

© RainStor 2009

Partner Deployments

Page 15: RainStor 3.5 Overview

© RainStor 2009

RainStor

“The structured data repository of choice for the retention and preservation of information

within the enterprise and the cloud”

Relational Archiving INfrastructure

Page 16: RainStor 3.5 Overview

© RainStor 2009

Interact With Us

Website

www.rainstor.com

Email

[email protected]

YouTube

rainstorcompany

Twitter

twitter.com/rainstor