Part 7 – How Hadooped is Greenplum, the Pivotal GPDB?

Now for Greenplum & Hadoop… to continue this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4, Part 5, Part 6) 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 there…

Part 5: A Review of Processing Push-down

Continuing this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3, Part 4) 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 there more intelligence to…

Part 4: How Hadooped is Teradata?

In this thread on RDBMS-Hadoop integration (Part 1, Part 2, Part 3) 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 there more intelligence to push down…

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…

The Big Data Devil

I just finished a draft for next week on Big Data and thought that with this note I might form a preface… First… Big Data is about, well…, Big Data. When Gartner devised the three V’s I suspect that they were trying to frame the new stuff that was emerging… not establish a concise definition.…

Who is How Columnar? Exadata, Teradata, and HANA – Part 1: Column Compression

There are three forms of columnar-orientation currently deployed by database systems today. Each builds upon the next. The simplest form uses column-orientation to provide better data compression. The next level of maturity stores columnar data in separate structures to support columnar projection. The most mature implementations support a columnar database engine that performs relational algebra…