EAI, EII, ETL, ELT, ETLT

Analysis of data integration products and technologies, especially ones related to data warehousing, such as ELT (Extract/Transform/Load). Related subjects include:

September 24, 2006

More on data warehouse architecture choices

The very name of this blog comes from the kind of “horses for courses” data store strategy implied by my recent post on different kinds of data warehouse uses. A number of other commentators have recently made similar points, although they may not agree with every detail. For example, William McKnight pretty much makes the pure DBMS2 argument, pointing out that a partially virtual warehouse is often superior to a fully centralized physical one. And Andy Hayler of Kalido says pretty much the same thing, although he strongly calls out his difference in emphasis from William’s view.

A tip of the hat to Mark Rittman for pointing me to those two and others.

August 17, 2006

Business Objects on EIM, ETL, etc.

I chatted with some Business Objects ETL/EIM (Enterprise Information Management) folks today, in a call that was a direct response to what I heard from and posted about Informatica. The core of the Business Objects story can be summarized (albeit brutally!) like this:

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August 8, 2006

eBay’s version of DBMS2

Every sufficiently large or agile enterprise needs to follow the DBMS2 approach. The following is from an article on eBay’s version:

“eBay has built a software-based Integration Tier. This contains both a data access layer (DAL) and a services framework. The Integration Tier acts as an abstraction layer for software engineers to work with many disparate back-end data sources through a consistent set of abstractions.”

July 26, 2006

Informatica’s SaaS/Outsourcing story

The coolest part of Informatica’s visit today was the new SaaS story. Naturally, they’re starting with Salesforce.com, but they hope to use the technology they’re developing for Salesforce with other SaaS vendors, with Business Process Outsourcers, and with anybody else who needs robust cross-enterprise data integration. I don’t actually think there’s a lot of hard technology there; nonetheless, somebody had to build it. And they apparently have, in two main parts.
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July 26, 2006

Informatica’s general story

Informatica came by today. In general their story is: Data integration is very important; all vendors except Informatica and IBM/Ascential are low end; IBM/Ascential is confused; most BI vendors except Business Objects are likely to follow Hyperion’s lead in partnering with them. Read more

May 13, 2006

Hot times at Intersystems

About a year ago, I wrote a very favorable column focusing on Intersystems’ OODBMS Cache’. Cache’ appears to be the one OODBMS product that has good performance even in a standard disk-centric configuration, notwithstanding that random pointer access seems to be antithetical to good disk performance.

Intersystems also has a hot new Cache’-based integration product, Ensemble. They attempted to brief me on it (somewhat belatedly, truth be told) last Wednesday. Through no fault of the product, however, the briefing didn’t go so well. I still look forward to learning more about Ensemble.

May 2, 2006

DBMS2 at IBM

I had a chat a couple of weeks ago with Bob Picciano, who runs servers (i.e., DBMS) for IBM. I came away feeling that, while they don’t use that name, they’re well down the DBMS2 path. By no means is this SAP’s level of commitment; after all, they have to cater to traditional technology strategies as well. But they definitely seem to be getting there.

Why do I say that? Well, in no particular order:

The big piece of a DBMS2 strategy that IBM seems to be lacking is a data-oriented services repository. IBM has had disasters in the past with over-grand repository plans, so they’re treading cautiously this time around. There also might be an organizational issue; DBMS and integration technology sit in separate divisions, and I doubt it’s yet appreciated throughout IBM how central data is to an SOA strategy.

But that not-so-minor detail aside, IBM definitely seems to be developing a DBMS2-like technology vision.

December 9, 2005

SAP’s version of DBMS2

I just spent a couple of days at SAP’s analyst meeting, and realized something I’d somewhat forgotten – much of the DBMS2 concept was inspired by SAP’s technical strategy. That’s not to say that SAP’s techies necessarily agree with me on every last point. But I do think it is interesting to review SAP’s version of DBMS2, to the extent I understand it.

1. SAP’s Enterprise Services Architecture (ESA) is meant to be, among other things, an abstraction layer over relational DBMS. The mantra is that they’re moving to a “message-based architecture” as opposed to a “database architecture.” These messages are in the context of a standards-based SOA, with a strong commitment to remaining open and standards-based, at least on the data and messaging levels. (The main limitation on openness that I’ve detected is that they don’t think much of standards such as BPEL in the business process definition area, which aren’t powerful enough for them.)

2. One big benefit they see to this strategy is that it reduces the need to have grand integrated databases. If one application manages data for an entity that is also important to another application, the two applications can exchange messages about the entity. Anyhow, many of their comments make it clear that, between partner company databases (a bit of a future) and legacy app databases (a very big factor in the present day), SAP is constantly aware of situations in which a single integrated database in infeasible.

3. SAP is still deeply suspicious of redundant transactional data. They feel that with redundant data you can’t have a really clean model – unless, of course, you code up really rigorous synchronization. However, if for some reason synchronization is preferred – e.g., for performance reasons — it can be hidden from users and most developers.

4. One area where SAP definitely favors redundancy and synchronization is data warehousing. Indeed, they have an ever more elaborate staging system to move data from operational to analytic systems.

5. In general, they are far from being relational purists. For example, Shai Agassi referred to doing things that you can’t do in a pure relational approach. And Peter Zencke reminded me that this attitude is nothing new. SAP has long had complex business objects, and even done some of its own memory management to make them performant, when they were structured in a manner that RDBMS weren’t well suited for. (I presume he was referring largely to BAPI.)

6. That said, they’re of course using relational data stores today for most things. One exception is text/content, which they prefer to store in their own text indexing/management system TREX. Another example is their historical support for MOLAP, although they seem to be edging as far away from that as they can without offending the MOLAP-loving part of their customer base.

Incidentally, the whole TREX strategy is subject to considerable doubt too. It’s not a state-of-the-art product, and they currently don’t plan to make it into one. In particular, they have a prejudice against semi-automated ontology creation, and that has clearly become a requirement for top-tier text technologies.

7. One thing that Peter said which confused me a bit is when we were talking about nonrelational data retrieval. The example he used was retrieving information on all of a specific sales reps’ customers, or perhaps on several sales reps’ customers. I got the feeling he was talking about the ability to text search on multiple columns and/or multiple tables/objects/whatever at once, but I can’t honestly claim that I connected all the dots.

And of course, the memory-centric ROLAP tool BI Accelerator — technology that’s based on TREX — is just another example of how SAP is willing to go beyond passively connecting to a single RDBMS. And while their sponsorship of MaxDB isn’t really an example of that, it is another example of how SAP’s strategy is not one to gladden the hearts of the top-tier DBMS vendors.

October 18, 2005

EII marketing soup

In the comments to another thread, the subject of EII (Enterprise Information Integration) came up. It’s a tricky one, for several reasons.

First, it’s a marketing construction — a blend between between ETL (Extract, Transform, Load) and EAI (Enterprise Application Integration). It’s a legitimate category; all those things are getting smushed together as near-real-time apps become more prominent. Still, it’s also an attempt to grab marketing turf.

Second, it’s commonly associated with a marketing overreach — the claim that an EII “platform” or “suite” will do everything a DBMS does (almost), but fully and heterogeneously distributed as well. Yeah, right.

Third, two of the sharpest proponents have been acquired by behemoths that tend to obscure their acquirees marketing pitches — Ascential by IBM and SeeBeyond by Sun.

Fourth, some of the best grand integrated EII suites (at least the ones that started as ETL, which is the side I’m more familiar with) aren’t complete yet. So vendors didn’t want to be too clear for fear of freezing current sales. I’m referring here mainly to Ascential and Informatica. They told analysts of their grand plans, but they haven’t been so eager to openly publicize the full details.

Fifth, the area is getting integrated with development tools for composite applications. Good examples there are SeeBeyond and Intersystems’ Cache’.

Sixth, no EII vendors’ plans fully work unless they have full relational and XML integration, and nobody really has been doing a great job on that, typically being strong in one area or the other.

Obviously, this is an area I have to research actively; EII is the neuromuscular system that holds DBMS2 together. But all the research in the world won’t change the fact that as of now it’s the weak spot in the story. There’s lots of great database management technology, and lots of excellent reasons to use a variety of kinds of that technology in your enterprise. But the tools to knit the resulting heterogeneous databases together are still sadly deficient.

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