“ The BLU Acceleration technology has some obvious benefits: It makes our analytical queries run 4-15x faster and decreases the size of our tables by a factor of 10x. But it’s when I think about all the things I don't have to do with BLU, it made me appreciate the technology even more: no tuning, no partitioning, no indexes, no aggregates. ”
-Andrew Juarez, Lead SAP Basis and DBA, Coca-Cola Bottling Co. Consolidated
“ Our initial results using DB2 with BLU Acceleration were impressive; massive analytic query speed-up, up to 273x improvement. With the Shadow tables that are part of the DB2 Cancun Release, we can now leverage that great analytic performance in our transactional ODS and let DB2 do all the work for us. One database, one system, no extra effort on our part. ”
- Ruel Gonzalez, Information Services, DataProxy LLC
IBM DB2 with BLU Acceleration is the next generation database technology that changes the game for in-memory computing. Delivering a combination of innovations from IBM Research & Development labs, BLU Acceleration provides breakthrough performance by delivering instant insight from real-time operational data and historical data. It delivers this performance without the constraints of other in-memory solutions and with the simplicity of “load and go” setup.
Certified by SAP, DB2 with BLU Acceleration delivers greater performance with fewer resources for your SAP investments. With SQL Compatibility, BLU Acceleration allows you to leverage your existing skills for quick and easy migrations from Oracle Database.
BLU Acceleration is seamlessly integrated in DB2 10.5. It does not require SQL or schema changes to implement. In addition, BLU Acceleration offers true business agility enabling faster time–to-value through a choice of deployment models of on-premise or via the cloud.
What could your business do if it could get answers faster?
What could your business do with the extra time it would save with BLU? Where could you invest the savings to drive more business value?
1Based on internal IBM testing of sample client analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5 with BLU Acceleration. Performance improvement figures are cumulative of all queries in the workload. Individual results will vary depending on individual workloads, configurations and conditions.
2Based on internal IBM tests of analytic workloads comparing queries accessing row-based tables on DB2 10.1 vs. columnar tables on DB2 10.5 with BLU Acceleration. Results not typical. Individual results will vary depending on individual workloads, configurations and conditions, including size and content of the table, and number of elements being queried from a given table.
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