This post is a follow on to the video on Systems Architecture here (video). I’ll describe how HANA, the Platform not the Database, is cutting fat from the landscape. If you have not seen the video recently it will be worth a quick look as I will only briefly recap it here. The video, kindly…
This is the second post (see Part 1 here) on how vendors adjust their architecture without admitting that the previous architecture was flawed. This time we’ll consider Teradata and in-memory…. When SAP HANA appeared Teradata went on the warpath with a series of posts and statements that were pointed but oddly miscued (see the references below).…
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…
This short post is intended to provide a quick warning regarding in-memory columnar and cpu requirements… with a longer post to follow. When a row is inserted or bulk-loaded into a DBMS, if there are no indexes, the amount of cpu required is very small. The majority of the time is spent committing a transaction…
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…
I renamed this so that Teradata folks would not get here so often… its not really about Intelligent Memory… just prompted by it. The post on Intelligent Memory is here. – Rob Two quick comments on Teradata’s recent announcement of Intelligent Memory. First… very very cool. More on this to come. Next… life is going…
Jason asked a great question in the comment section here… he asked… does Teradata’s Intelligent Memory erode HANA’s value proposition? Let me answer here in a more general way that is applicable to the general database space… Every time a vendor puts more silicon between the CPU and the disk they will improve their performance…
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