Elasticsearch 1.0.0 released
elasticsearch.org
Elasticsearch 1.0.0 released
1–10 of 139 posts
Re: Elasticsearch 1.0.0 released
#2Congratulations to the team. This is a great library that we really appreciate.
Re: Elasticsearch 1.0.0 released
#3ES is a fantastic project. Thank you thank you thank you for your contribution; truly standing on the shoulders...
Re: Elasticsearch 1.0.0 released
#4Elasticsearch is a really great piece of software because it makes the simple easy and the complicated possible.
Re: Elasticsearch 1.0.0 released
#5It was two weeks ago, and our startup was on the precipice of a major launch. We had completely rewritten our online publication site, which drives the bulk of our traffic. The product had to be shipped on-time - we had press releases, eager investors and a launch party dependent on it.
A few days before launch, things were not looking good. As admins manipulated articles in preparation for the launch, the servers kept crashing.
In a time-constrained major launch like this, a lot of nasty little hacks build up in the codebase. Our search system for admins was a complete mess. It was a custom solution that worked fine when admins managed a handful of database records, but now that they were managing thousands of articles, it was not scaling at all.
At the 11th hour, we dropped elasticsearch into our infrastructure. It worked like a charm. The servers stopped crapping out, and we launched on time.
Elasticsearch mostly "just works", and we didn't have to worry about complex schema definitions, working with giant complex XML files (hello Solr), or build anything on top to interface between the index and the queries themselves (Lucene). Thanks elasticsearch, you saved us!
Re: Elasticsearch 1.0.0 released
#6congrats to the team!
Re: Elasticsearch 1.0.0 released
#7Elasticsearch is really awesome for searching, but what most people don't realize is that it makes a better MongoDB than MongoDB while giving you that searching too.
Re: Elasticsearch 1.0.0 released
#8It was two weeks ago, and our startup was on the precipice of a major launch. We had completely rewritten our online publication site, which drives the bulk of our traffic. The product had to be shipped on-time - we had press releases, eager investors and a launch party dependent on it. A few days before launch, things were not looking good. As admins manipulated articles in preparation for the launch, the servers ke…
> Elasticsearch mostly "just works", and we didn't have to worry about complex schema definitions, working with giant complex XML files (hello Solr)
If you were using Solr there are a few operational modes to run in. Config file based or SolrCloud[0]. The latter is more akin the ES in terms of cluster management.
I agree though from an simplicity of deployment perspective at scale ES is has a much lighter learning curve.
[0] https://cwiki.apache.org/confluence/display/solr/SolrCloud
Re: Elasticsearch 1.0.0 released
#9Elasticsearch is really awesome for searching, but what most people don't realize is that it makes a better MongoDB than MongoDB while giving you that searching too.
True. I evaluated Mongo, Couch and a couple of similar solutions, but ES being a search engine from the start really convinced me, that it can be a viable database for loosely structured data.
Re: Elasticsearch 1.0.0 released
#10Elasticsearch is really awesome for searching, but what most people don't realize is that it makes a better MongoDB than MongoDB while giving you that searching too.
I'm surprised so many people miss this. Out of the box, Elasticsearch is a distributed NoSQL store with better write consistency (and arguably performance) than MongoDB offers in its default configuration. The major missing feature was backup snapshots and restores, which 1.0 delivers—along with aggregations that more than rival MongoDBs. The team has intentionally avoided marketing themselves as a NoSQL store (was told this directly by an employee), but they're aware of the potential and have customers using it as such.