Ingres

Analysis of relational database management system vendor Ingres and its products. Related subjects include:

August 4, 2009

VectorWise, Ingres, and MonetDB

I talked with Peter Boncz and Marcin Zukowski of VectorWise last Wednesday, but didn’t get around to writing about VectorWise immediately. Since then, VectorWise and its partner Ingres have gotten considerable coverage, especially from an enthusiastic Daniel Abadi. Basic facts that you may already know include:

Read more

April 2, 2009

Ingres update

I talked with Ingres today. Much of the call was fluff — open-source rah-rah, plus some numbers showing purported success, but so finely parsed as to be pretty meaningless. (To Ingres’ credit, they did offer to let me talk w/ their CFO, even if they offered no promises as to whether he’d offer any more substantive information.) Highlights included: Read more

March 18, 2009

Database implications if IBM acquires Sun

Reported or rumored merger discussions between IBM and Sun are generating huge amounts of discussion today (some links below). Here are some quick thoughts around the subject of how the IBM/Sun deal — if it happens — might affect the database management system industry. Read more

February 16, 2009

25 facts about Ingres, give or take a couple

Emma McGrattan of Ingres offers a “25 facts” post about Ingres. 24 really are about Ingres. Some are interesting (who knew Ingres still used a lot of Quel?). Some are if anything understated — e.g., there are lots of current CEOs who are Ingres alums (Dave Kellogg and Dennis Moore jump to mind). Only one is a real eyebrow-raiser.

Point 23 says “The average tenure of an Ingres Engineer is 15+ years.”  On the other hand, Point 3 says “The longest serving member of Ingres staff is John Smedley who has been with us since June of 1987.”  And most of Ingres’ technical staff left after Ingres was acquired by CA, which occurred a few months shy of 15 years ago. Reconciling all that is challenging.

Actually, I was dubious about a second claim too, namely that Ingres/Star was the first distributed DBMS; I thought that the distributed version of Tandem NonStop SQL actually predated it by a few years. But a somewhat contemporaneous article with a number of distributed DBMS dates shows my memory was wrong on that score.

January 12, 2009

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

Gartner’s annual Magic Quadrant for data warehouse DBMS is out.  Thankfully, vendors don’t seem to be taking it as seriously as usual, so I didn’t immediately hear about.  (I finally noticed it in a Greenplum pay-per-click ad.)  Links to Gartner MQs tend to come and go, but as of now here are two working links to the 2008 Gartner Data Warehouse Database Management System MQ.  My posts on the 2007 and 2006 MQs have also been updated with working links. Read more

January 22, 2008

What leading DBMS vendors don’t want you to realize

For very high-end applications, the list of viable database management systems is short. Scalability can be a problem. (The rankings of most scalable alternatives differ in the OLTP and data warehouse realms.) Extreme levels of security can be had from only a few DBMS. (Oracle would have you believe there’s only one choice.) And if you truly need 99.99% uptime, there only are a few DBMS you even should consider.

But for most applications at any enterprise – and for all applications at most enterprises – super high-end DBMS aren’t required. There are relatively few applications that wouldn’t run perfectly well on PostgreSQL or EnterpriseDB today. Ingres and Progress OpenEdge aren’t far behind (they’re a little lacking in datatype support). Ditto Intersystems Cache’, although the nonrelational architecture will be off-putting to many. And to varying degrees, you can also do fine with MySQL, Pervasive PSQL, MaxDB, or a variety of other products – or for that matter with the cheap or free crippled versions of Oracle, SQL Server, DB2, and Informix.

What’s more, these mid-range database management systems can have significant advantages over their high-end brethren. Read more

April 18, 2007

Naming the DBMS disruptors

Edit: This post has largely been superseded by this more recent one defining mid-range relational DBMS.

I find myself defining a new product category – midrange OLTP/multipurpose DBMS. (Or just midrange DBMS for brevity.) Nothing earthshaking here; I’m simply referring to those products that: Read more

March 14, 2007

EnterpriseDB tries PostgreSQL-based Oracle plug-compatibility

Like Greenplum, EnterpriseDB is a PostgreSQL-based DBMS vendor with an interesting story, whose technical merits I don’t yet know enough to judge. In particular, CEO Andy Astor:

Also, EnterpriseDB has added a bunch of tools to PostgreSQL – debugging, DBA, etc. And it provides actual-company customer support, something that seems desirable when using a DBMS. It should also be noted that the product is definitely closed-source, notwithstanding EnterpriseDB’s open-source-like business model and its close ties to the open source community.

Read more

March 8, 2007

Ingres tries to become relevant again

Ingres has non-trivial resources – 300 employees, 10,000 “real” customers, and some additional large number of installations embedded in CA products. It has a fairly pure support-only open source revenue model, although there may be exceptions to that in cases such as the DATAllegro relationship.

Should anybody care?

Yes and no. To compete effectively in the mid-range OLTP relational database management system market, you need a product that’s much easier to administer than Oracle, and preferably easier even than Microsoft SQL*Server. Ingres doesn’t meet that standard. Until it does, it probably won’t have much of a market outside its current installed base. But some of Ingres’s strategies and directions are pretty clever, and may be interesting to people who’d never actually consider using Ingres technology. Specifically, Ingres has plans in the areas of appliances and database services, two subjects that are close to my heart. Read more

February 27, 2007

OLTP database management system market – the consensus isn’t ALL wrong (deck-clearing post #1)

Most of what I’ve written lately about database management seems to have been focused on analytic technologies. But I have a lot to say on the OLTP (OnLine Transaction Processing) side too. So let’s start by clearing the decks. Here’s a list of some consensus views that I in essence agree with:

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