Whitepaper
Elasticsearch v. Rockset Whitepaper
Rockset's Converged Index™ enables faster time to market and up to 50% lower TCO as compared to Elasticsearch’s search index, for real-time analytics use cases. This is achieved by optimizing for hardware and developer efficiency in the cloud.

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Both Elasticsearch and Rockset are queryable data stores that can store data and serve queries. Both of them index data and use the index to serve queries. Both systems are document sharded, which means that documents are routed to a shard based on the document ID. But that is where their similarities end. This paper compares some of the technical differences between Elasticsearch’s search index and Rockset’s Converged Index™:

  • Elasticsearch uses a search index, and is optimized for text search and log analytics use cases
  • Rockset uses a Converged Index™, and is optimized for real-time analytics and real-time applications

A Converged Index™ enables faster time to market and up to 50% lower TCO as compared to Elasticsearch’s search index, for real-time analytics use cases. This is achieved by optimizing for hardware and developer efficiency in the cloud.

 

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