Elasticsearch is the way to go!
Updated June 18, 2016

Elasticsearch is the way to go!

Abdel Kamel | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Elasticsearch

We used Elasticsearch to build and search a complex index of tv shows, actors, seasons, episodes etc... Using Elasticsearch we can derive information very quickly about what season belongs to which tv show. This allowed us to dynamically build a tree like data structure on the fly without any performance degradation.

Pros

  • Fuzzy query matching
  • Indexing and Sharding data
  • High availability and cluster managment

Cons

  • A better user interface
  • Better integration with AWS
  • Cost of maintaining a cluster in the cloud (e.g. AWS memory optomized instances) is expensive.
  • Project is open sourced, we are free to contribute if a bug is found. And its free!
Solr is the only other alternative product I've used. Elasticsearch in comparison is a much better product. The query language in elasticsearch along with the cluster management and sharding makes Elasticsearch a clear winner.
Elasticsearch does one thing very well. Search and index data. Trying to go outside that realm is doable but not recommended. For example, I would not use elasticsearch as a document store. But rather treat it as a rebuildable index that can be rebuilt from a persistent database like Postgres, or MySQL.

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