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[转]IBM在内存数据库的布局  

2012-01-03 21:57:08|  分类: dbms |  标签: |举报 |字号 订阅

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Applix就是现在IBM的TM1,作者推崇的两个产品被IBM买下,自己的cloudscape则丢在一旁

IBM acquires SolidDB to compete with Oracle TimesTen

IBM is acquiring Solid Information Technology, makers of solidDB. Some quick comments:

·             solidDB is actually a very interesting hybrid disk/in-memory memory-centric database management system. However, the press release announcing the deal makes it sound as if solidDB is in-memory only.

·             That strongly suggests that IBM is buying Solid mainly to compete with Oracle TimesTen. As of last June, solidDB was already IBM’s TimesTen answer via a partnership; this deal just solidifies that arrangement.

·             This probably isn’t good news for Solid’s MySQL engine. That’s a pity, since solidDB technically has the potential to be the best MySQL engine around.

·             Notwithstanding IBM’s presumed intentions, Solid’s main market success historically is as an embedded system in telecommunications equipment, network software, and similar systems.

·             Last year I wrote a white paper on memory-centric data management, showcasing four products. IBM now has bought two of them, namely Solid’s and Applix’s (via Cognos).

·             Comparisons to IBM’s embedded Java DBMS Cloudscape are pointless. That’s just a failed product vs. solidDB or Sybase SQL Anywhere, and IBM long ago cut its losses.

 

McObject eXtremeDB — a solidDB alternative

McObject — vendor of memory-centric DBMS eXtremeDB — is a tiny, tiny company, without a development team of the size one would think needed to turn out one or more highly-reliable DBMS. So I haven’t spent a lot of time thinking about whether it’s a serious alternative to solidDB for embedded DBMS, e.g. in telecom equipment. However:

·             IBM’s acquisition of Solid seems to suggest a focus on DB2 caching rather than the embedded market

·             McObject actually has built up something of a customer list, as per the boilerplate on any of its press releases.

And they do seem to have some nice features, including Patricia tries (like solidDB), R-trees (for geospatial), and some kind of hybrid disk-centric/memory-centric operation.
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