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Elastic: The new name for Elasticsearch

Elasticsearch has announced a change of name. 

 

At the inaugural Elasticon in San Fransisco, perhaps the most unexpected announcement was a name change for the commercial side of this business.

Here's our initial take:

  • Elasticsearch has created an excellent, open-source technology. They raised more than $100m to do this.
  • Adoption of Elasticsearch has been impressive, and is counted in the millions of downloads.
  • Technical folks who have a lot of experience with search (and we have plenty of them at Search Technologies), get Elasticsearch. Further, our experiences so far engaging with customers to deliver Elasticsearch projects has been universally positive.

The business model of Elasticsearch (now Elastic), the venture capital-funded company behind the project, is based on a significant uptake of maintenance and support services.

Our experience so far is that these services are good. Search Technologies is reselling Elastic maintenance and support services, rather than providing our own. Further, Elastic pricing for maintenance services is reasonable, and compares well to traditional commercial software offerings.

So, for our part, we hope that the name change will help to encourage the uptake of maintenance and support services for this excellent platform.

The bigger picture is, of course, that Elastic has ambitions to be a major player in the big data analytics market. The ELK stack shows this. The Elasicsearch index is complimented by Kibana, a UI technology, and Logstash, a logfile processing component. Time will tell whether the name change will help Elastic to gain serious traction in the big data space. Technically speaking, they can give the likes of Splunk a run for their money, and at a significantly lower price-point.

 

THE BOTTOM LINE

Elasticsearch is a cool technology. We wish it well, and from an implementation services perspective, it is currently the fastest-growing part of our business. 

The business model of Elastic makes sense to customers; pay-as-you-go support, rather than large up-front licensing fees. 

Organizations who rely on serious search applications to help deliver productivity, should definately include Elasticsearch in their short-list, next time a replatforming is needed.

And as for the world of big data, Elastic will be a player, for sure. Search, in general, will contribute a lot to big data analytics in the coming years.