Some Database Performance Concepts

I’m working on a new idea… it may or may not pan out… but here are some concepts for your consideration… with some thoughts on their performance implications. First a reminder… a reality check. In my experience if you POC two databases at about the same price point…and one is 30% faster than the other, 1.3X, then…

Part 8 – How Hadooped is SQL Server PDW with Polybase?

Now for SQL Server… continuing the thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7) I have suggested that we could evaluate integration architecture using three criteria: How parallel are the pipes to move data between the RDBMS and the parallel file system; Is there intelligence to push down predicates; and Is…

Part 6: How Hadooped is HANA?

Now for HANA plus Hadoop… to continue this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4, Part 5) I have suggested that we could evaluate integration architecture using three criteria: How parallel are the pipes to move data between the RDBMS and the parallel file system; Is there intelligence to push…

HANA, BLU, Hekaton, and Oracle 12c vs. Teradata and Greenplum – November 2013

I would like to point out a very important section in the paper on Hekaton on the Microsoft Research site here. I will quote the section in total: 2. DESIGN CONSIDERATIONS  An analysis done early on in the project drove home the fact that a 10-100X throughput improvement cannot be achieved by optimizing existing SQL…

BLU Meanies: Data In-memory

IBM is presenting a DB2 Tech Talk that compares the BLU Accelerator to HANA. There are several mistakes and some odd thinking in the pitch so let me address the issues as a way to explain some things about HANA and about BLU. This blog will consider what data needs to be in-memory. IBM like…