11 segments of Big Data Ecosystem, according to Sqrrl

Sqrrl, a Big Data startup founded by the ex-NSA engineers who created Apache Accumulo, (a high performance data store/retrieval system), published a blog post that analyzes the Big Data ecosystem and places Sqrrl within it.

Sqrrl views Big Data market as 11 large segments:

1. Hardware providers: Big Data software runs on both commodity disks and flash/SSD.
2. Services providers: help with both strategy and implementation of Big Data solutions
3. Cloud providers, offering public, private, or hybrid clouds
4. Enterprise Data Warehouse (EDW) vendors: traditional EDW vendors and the relational databases that typically sit on top of them.
5. Data Integration vendors sell the tools that assist in getting data into Hadoop or Scale-Out databases.
6. Hadoop vendors: license commercial distributions of the Hadoop and related Apache projects, and sell support services.
7. Security vendors: security tools, such as encryption and key management, specifically designed for Big Data.
8. Scale-Out Database vendors: Includes both NoSQL and NewSQL databases.
9. Horizontal Big Data Platforms: These are platforms often built on top of Hadoop and/or scale-out platforms and provide additional analytical capabilities beyond what the underlying database can natively provide.
10. Vertical Big Data Platforms, specialized for a specific industry vertical.
11. Business Intelligence and Visualization Tools: Focused on reporting and dashboards for data held in Hadoop.

Sqrrl main product Sqrrl Enterprise falls in the intersection of four segments: Hadoop, Security, Scale-Out Databases, and Horizontal Platforms.

Here is our analysis of Wikibon Big Data report, Big Data is a Software and Services Business, which finds that most pure-play Big Data companies have zero hardware revenue and are focused on software and services.

Here is Sqrrl blog post.

See also Silicon Angle take on Sqrrl Breaks Down the Big Data Market : 11 Segments of Opportunity