ElasticSearch
Lucene based search server.
Lucene based search server.
What ElasticSearch looks like
How Users feel about ElasticSearch
Pros
Cons
What reviewers say about ElasticSearch
Reviewers highlight ElasticSearch for speed, flexibility, and broad integration. Maker feedback stands out: makers of Playbook say it reliably powers their search; makers of Gan.AI praise its analytics and logs for debugging; makers of fn7 Helix value having vector and traditional search in one system. Other makers note strong scalability, hybrid/vector support, and dependable community backing. Users find it easy to use with wide features and helpful for search, though general comments are brief. Overall sentiment is strongly positive.
This AI synopsis blends highlights gathered from recent reviewers.
How people rate ElasticSearch
Based on 11 reviews
Recent highlights
OnSpace relies on Elasticsearch's powerful search engine to deliver fast, scalable search and real-time analytics for high-performance applications.
Still the best all-purpose search engine when speed, flexibility, and integration matter. We use it heavily for vector + hybrid search. Scales better than most, works great with embeddings.
Nothing beats the speed and reliability of an elasticsearch server. ETL with sublime caching ensures our users get a premium experience