Comments on: Gartner’s 2008 data warehouse database management system Magic Quadrant is out

By: Evolving definitions and technology categories for 2011 | DBMS 2 : DataBase Management System Services

Fri, 04 Mar 2011 10:48:10 +0000

[...] Quadrant any better than the Gartner 2009 data warehouse database management system magic quadrant, the Gartner 2008 data warehouse database management system magic quadrant, and so [...]

By: Curt Monash

Curt Monash — Fri, 23 Jul 2010 17:14:27 +0000

Sounds a bit like the Kx/Kdb+ story …

Anyhow, they’ve never contacted me.

By: Marco Ribeiro

Marco Ribeiro — Fri, 23 Jul 2010 15:17:30 +0000

Hello,
I understand this is a revenue ranking mostly but have you evaluated other options? There are old guys on the block like the Italian Advanced Systems, owners of SADAS columnar database which I think you should check out. A very effective engine, running on standard off-the-shelf hardware( a US$10k machine can run billions of records) and one of the most manageable engine I have ever seen.Worth taking a look.

By: Gartner 2009/2010 Data Warehouse Magic Quadrant comments | DBMS2 -- DataBase Management System Services

Wed, 10 Feb 2010 23:29:19 +0000

[...] — actually, January 2010 — is now out.* For many reasons, including those I noted in my comments on Gartner’s 2008 Data Warehouse DBMS Magic Quadrant, the Gartner quadrant pictures are a bad use of good research. Rather than rehash that this year, [...]

By: Apex

Apex — Wed, 15 Jul 2009 18:41:21 +0000

“As a Business Intelligence Architect I have a problem with MPP databases being ranked so high. OLAP servers do not run well against MPP databases in MOLAP storage modes. MOLAP storage requires transactional bulk data extracts to “process” the OLAP cubes. MPP database are slow because they have to unhash large amounts of detailed data. SMP database servers are much faster. MPP vendors suggest not using MOLAP and use the much slower query response and unscalable ROLAP storage or you need to setup a hub and spoke architecture. With a SMP server as the spoke just to process OLAP cubes.”
Huh..?

By: Fred

Fred — Tue, 16 Jun 2009 21:49:58 +0000

As a Business Intelligence Architect I have a problem with MPP databases being ranked so high. OLAP servers do not run well against MPP databases in MOLAP storage modes. MOLAP storage requires transactional bulk data extracts to “process” the OLAP cubes. MPP database are slow because they have to unhash large amounts of detailed data. SMP database servers are much faster. MPP vendors suggest not using MOLAP and use the much slower query response and unscalable ROLAP storage or you need to setup a hub and spoke architecture. With a SMP server as the spoke just to process OLAP cubes.

By: Database SaaS gains a little visibility | DBMS2 -- DataBase Management System Services

Tue, 10 Feb 2009 19:56:15 +0000

[...] 1010data offers its data warehousing product by remote service only. However, unlike Gartner I’m not totally convinced 1010data should be regarded as comparable to DBMS vendors; perhaps [...]

By: Gartner’s 2009 Magic Quadrant for Business Intelligence | DBMS2 -- DataBase Management System Services

Thu, 22 Jan 2009 05:33:46 +0000

[...] few days ago I tore into the Gartner Magic Quadrant for Data Warehouse DBMS. Well, the 2009 Gartner Magic Quadrant for Business Intelligence Platforms is out too. (Link [...]

By: Curt Monash

Curt Monash — Tue, 13 Jan 2009 16:38:28 +0000

Good question. Probably a marketing choice on their part. I think their DBMS is just as separable from the rest of their tools as 1010data’s is.

By: Imre

Imre — Tue, 13 Jan 2009 10:54:11 +0000

Why SAS System is not in the list?