A Beefed Up Elasticsearch Presages an Interesting Future
December 31, 2020
The write up “Elasticsearch New Features: 2020 Year in Review” makes several “enterprise search” issues clear:
- Key word retrieval is not enough
- Additions to basic search signals that Elasticsearch is following the Entopia, FAST Search & Transfer, and other proprietary systems down the path of exponential complexity
- Specialists in the time series and geospatial sector have cause to rejoice and be worried.
The article provides a summary of the feature landscape for Elasticsearch. It is worth pointing out that many commercial vendors rely on Elasticsearch or its cousin Lucene for information retrieval functions.
The article illustrates why. A single firm lacks the resources to build, enhance, and support what now is a retrieval and analysis platform. What’s interesting is how few vendors report their open source roots. Most prefer to concentrate on their proprietary add ons. These are the differentiators, but I must admit that most of these commercial vendors appear to me like an iguanas in a Caribbean iguana farm pen. I can no longer tell them apart. When I encounter a “new” enterprise or specialized search system positioned as a problem solver for the enterprise, I see iguanas. I suppose each iguana has a quite distinct personality, but I am not smart enough to perceive the difference.
Net net: Enterprise search is a utility. As an information service accretes features and functions, the basics become less important. At some point, the enterprise search systems, whether free or proprietary, bangs straight into the accounting department’s Zoom meeting.
The results are not pretty. Complexity, triage costs, customization costs, and special add ons set the stage for more Delphes, Fulcrums, SMARTs and STAIRS. Will vendors of enterprise search figure out how to get off this pathway to a Dante-like digital netherworld?
My prediction for 2021? Nah.
Stephen E Arnold, December 31, 2020
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