DataStax Unveils Storage-Attached Indexing

DataStax is releasing Storage-Attached Indexing (SAI), fundamentally advancing indexing in Apache Cassandra.

Storage-Attached Indexing is a highly scalable, globally-distributed index for Apache Cassandra available on Astra and DataStax Enterprise (DSE).

"Developers have typically faced a tradeoff between scalability, ease of use, and operations when choosing NoSQL,” said Ed Anuff, chief product officer at DataStax. "Storage-Attached Indexing gives developers robust, new indexing that eliminates many of these tradeoffs, making development and data modeling in Apache Cassandra easier to use, while also increasing stability and performance and giving architects and operators fewer moving parts to manage."

DataStax has also opened a Cassandra Enhancement Proposal (CEP) with the Apache Cassandra project to share this with the open source community so all users of the popular, open source database can benefit.

Storage-Attached Indexing is a robust and powerful index in Apache Cassandra, making the open-source, scale-out, cloud-native NoSQL database more usable.

With Storage-Attached Indexing, developers now have accessibility to familiar indexing and queries—such as WHERE clauses—in Apache Cassandra.

Storage-Attached Indexing is an index implementation that enables users to index multiple columns on the same table without scaling issues. It is optimized for storage and helps with Apache Cassandra performance and provides operational simplicity.

The benefits of Storage-Attached Indexing include:

  • Improved stability
  • Significantly reduces disk usage
  • Improved numeric range performance
  • Releases constraints to data modeling and barriers to scale-out
  • Features modern and expected indexing features on Apache Cassandra

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