Data types
Analysis of data management technology optimized for specific datatypes, such as text, geospatial, object, RDF, or XML. Related subjects include:
- Any subcategory
- Database diversity
The Coral8 story
Complex event/stream processing vendor Coral8 raised its hand and offered a briefing – non-technical, alas, but at least it was a start. Here are some of the highlights: Read more
Nonstandard data management software — beyond the Bowling Alley?
I just finished a short Monash Letter on markets for nonstandard data management software. Of course, the whole thing is available only to Monash Advantage members, but here are some salient points:
- When new kinds of data are managed, new kinds of data management are used. More precisely, the old ways are tried first — but once they fail new technologies are tried out.
- Up through the “Bowling Alley,” markets for nonstandard data management technology commonly follow the classic Geoffrey Moore pattern. However, they rarely experience a “Tornado” or mass adoption.
- I think this is apt to change. My three strongest candidates are native XML, RDF, and memory-centric event/stream processing used for data reduction (as opposed to sub-millisecond latency, which I do think will continue to be a niche requirement).
| Categories: Memory-centric data management, RDF and graphs, Streaming and complex event processing (CEP), Structured documents | Leave a Comment |
Fast RDF in specialty relational databases
When Mike Stonebraker and I discussed RDF yesterday, he quickly turned to suggesting fast ways of implementing it over an RDBMS. Then, quite characteristically, he sent over a paper that allegedly covered them, but actually was about closely related schemes instead. 🙂 Edit: The paper has a new, stable URL. Hat tip to Daniel Abadi.
All minor confusion aside, here’s the story. At its core, an RDF database is one huge three-column table storing subject-property-object triples. In the naive implementation, you then have to join this table to itself repeatedly. Materialized views are a good start, but they only take you so far. Read more
| Categories: Columnar database management, Data models and architecture, Data warehousing, Database compression, RDF and graphs, Theory and architecture, Vertica Systems | 1 Comment |
RDF “definitely has legs”
Thus spake Mike Stonebraker to me, on a call we’d scheduled to talk about several other things altogether. This was one day after I was told at the Text Analytics Summit that the US government is going nuts for RDF. And I continue to get confirmation of something I first noted last year — Oracle is pushing RDF heavily, especially in the life sciences market.
Evidently, the RDF data model is for real … unless, of course, you’re the kind of purist who cares to dispute whether RDF is a true “data model” at all.
| Categories: Data models and architecture, Oracle, RDF and graphs, Theory and architecture | Comments Off on RDF “definitely has legs” |
Native XML engine short list
I’ve been implying that the short list for native XML database engine vendors should be MarkLogic, IBM, and maybe Microsoft, on the theory that Progress and Intersystems tried the market and pulled back. Well, add Intersystems to the list, and not necessarily in last place. They’ve long had a very fast nonrelational engine in Cache’. Perhaps building Ensemble on it has induced them to sharpen up the XML capabilities again.
Anyhow, while I’m not at liberty to explain more of my reasoning (i.e., to disclose my evidence) — Cache’ should be taken seriously as an XML DBMS alternative … even if I never can seem to get a proper DBMS briefing from them (which is far from entirely being their fault).
| Categories: IBM and DB2, Intersystems and Cache', MarkLogic, Microsoft and SQL*Server, Progress, Apama, and DataDirect, Structured documents | 1 Comment |
More academic hype about the Semantic Web
A major Semantic Web researcher has built a cluster that can do RDF queries, and hence can get subsecond response time on queries against a database of 7 billion three-column records, The Register obsequiously reports. Golly gee whiz wow.
“The importance of this breakthrough cannot be overestimated,” said Professor Stefan Decker, director of DERI.”
I actually think the Semantic Web contains some good ideas, but this kind of over-the-top breathlessness doesn’t seem to do anybody very much good.
| Categories: RDF and graphs | 3 Comments |
Progress Software progress report
For the past 20+ years – all the way back to when it was still privately held — I’ve periodically gotten up to speed on Progress Software. I’m trying again now, and to that end dropped by yesterday for a chat with Jeff Stamen. I’ll give a brief overview now – which is probably all I’m qualified to do right now anyway – and then loop back with more detailed info after I get it.
After a reorganization at the beginning of this (November) fiscal year, the vast majority of Progress’ products fall into one of five buckets, which I shall glibly refer to in decreasing order of size as “Progress Classic,” “SOA,” “drivers,” “memory-centric,” and “EasyAsk.” Here’s a quick overview of each. Read more
| Categories: Companies and products, Mid-range, Object, OLTP, Progress, Apama, and DataDirect | 3 Comments |
Lessons from EnterpriseDB
I had a nice conversation yesterday with Jim Mlodgenski of EnterpriseDB, covering both generalities and EnterpriseDB-specific stuff. Many of the generalities were predictable, and none were terribly shocking. Even so, I am dressed as Captain Obvious, and shall repeat a few of the ones I found interesting below:
| Categories: EnterpriseDB and Postgres Plus, Mid-range, OLTP, Open source, Structured documents, Theory and architecture | 2 Comments |
Bulletin on Cogito
My Bulletin on Cogito — i.e., a short-short white paper — is now available for download. Thankfully, it turned out to be pretty consistent with what I previously wrote on the company and its technology. 😉 The conclusion to the paper bears quoting here:
In deciding between conventional DBMS and specialty graph-oriented tools such as Cogito’s, there’s one key criterion: Path length. If path lengths are short and predictable, there’s a good chance that relational DBMS and their forthcoming extensions can do the job. In complex graphs with longer paths, however, relational approaches may not scale well. In such cases, specialty technologies warrant serious consideration.
| Categories: Cogito and 7 Degrees, RDF and graphs | Leave a Comment |
Mark Logic and the MarkLogic Server
I’ve been interested in the Mark Logic story from the first time CEO Dave Kellogg told me about it. Basically, Mark Logic sells an XML-based DBMS optimized for text search, called MarkLogic Server. For obvious reasons, they don’t want to position it as a DBMS; hence they call it an “XML content server” instead. I posted about their marketing and application focus over on Text Technologies. In this post, I’ll dive a little deeper into the core technology.
Read more
| Categories: MarkLogic, Structured documents | 3 Comments |