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Elassandra

Elassandra embeds OpenSearch in Apache Cassandra so each node provides distributed storage and search.

Place
#11 of 22
Score
5.4
Elassandra's website

What Elassandra is

Elassandra embeds OpenSearch in Apache Cassandra so each node provides distributed storage and search. Its maintained line targets Apache Cassandra 4.0.x, OpenSearch 1.3.x, and Java 11. An OpenSearch index maps to a Cassandra keyspace, while documents map to rows and indexed fields to columns or cells. Cassandra holds durable data; after a restart, Elassandra can replay that state and rebuild the local search view. Search requests can use the OpenSearch HTTP API or CQL, with standard OpenSearch-style responses. Schema can be created from an OpenSearch index or discovered from an existing Cassandra schema through OpenSearch mappings. Data placement follows Cassandra token ownership, and replication follows the keyspace settings. Deployment options include tarball, Debian package, RPM, Docker image, and Helm chart; integrations include OpenSearch plugins, OpenSearch Dashboards, and Spark. Elassandra requires the Murmur3 partitioner. Search indexing adds work to Cassandra writes, and immediate search visibility can increase write latency; synchronous refresh also adds cost. Its current line focuses on embedded OpenSearch, so advanced upstream features should be validated before production use.

Good

  • Combines distributed storage and search in each node
  • Search through OpenSearch HTTP API or CQL
  • Offers tarball, package, Docker, and Helm deployments
  • Open source and listed as free

Watch out

  • Requires the Murmur3 partitioner
  • Search indexing adds work to Cassandra writes
  • Immediate search visibility can increase write latency
  • Advanced upstream features need validation before production use

Who it suits

Elassandra suits teams seeking Cassandra-backed distributed storage with OpenSearch-compatible search interfaces. It is self-hosted and requires the Murmur3 partitioner.

Verdict

Elassandra connects Cassandra durability and distribution with OpenSearch-style search. Account for the partitioner requirement, write overhead, and search freshness trade-offs when assessing it.

The facts

Each one read from Elassandra's own pages, with the date it was checked.

What it does

APIs
Elassandra exposes Cassandra-backed documents through OpenSearch-compatible HTTP APIs and also supports searching through CQL.checked 3 Oct 2026
Consistency limit
Document version fields such as _version, _seq_no, and _primary_term are not globally authoritative conflict controls.checked 3 Oct 2026
Current stack
The maintained line targets Apache Cassandra 4.0.x, OpenSearch 1.3.x, and Java 11.checked 3 Oct 2026
Data durability
Cassandra is the durable storage layer, and Elassandra rebuilds the local search view from Cassandra state when needed.checked 3 Oct 2026
Data model
Elassandra maps OpenSearch indices to Cassandra keyspaces, documents to rows, and indexed fields to columns or cells.checked 3 Oct 2026
Deployment
The documentation lists tarball, Debian package, RPM, Docker image, and Helm chart installation options.checked 3 Oct 2026
Deployment options
The documentation lists tarball, Debian package, RPM, Docker image, and Helm chart installation options.checked 3 Oct 2026
Durability
Cassandra is the durable storage layer, and restart recovery replays Cassandra state and can rebuild the local search view.checked 3 Oct 2026
Feature scope
The current line focuses on embedded OpenSearch, and the documentation advises validating advanced upstream features before relying on them in production.checked 3 Oct 2026
Index deletion limit
Deleting an index removes search metadata and files but does not delete its backing Cassandra keyspace or table by default.checked 3 Oct 2026
Integrations
The documentation lists integration with OpenSearch plugins, OpenSearch Dashboards, and Spark.checked 3 Oct 2026
Local resource guidance
The quick start says each node usually needs around 1.5 GB to 2 GB of RAM for local demos.checked 3 Oct 2026
Maintained stack
The documented maintained line targets Apache Cassandra 4.0.x, OpenSearch 1.3.x, and Java 11.checked 3 Oct 2026
Operational limit
Elassandra requires the Murmur3 partitioner, and search indexing adds work to Cassandra writes, especially for complex documents.checked 3 Oct 2026
Operational requirement
Elassandra requires the Murmur3 partitioner.checked 3 Oct 2026
Purpose
Elassandra embeds OpenSearch inside Apache Cassandra so each node provides distributed storage and distributed search.checked 3 Oct 2026
Refresh trade-off
Immediate search visibility after a write trades off against write latency, and synchronous refresh adds cost.checked 3 Oct 2026
Scaling
Data placement follows Cassandra token ownership, and replica behavior follows Cassandra keyspace replication.checked 3 Oct 2026
Schema workflows
Elassandra supports creating Cassandra schema from an OpenSearch index or discovering an existing Cassandra schema through OpenSearch mappings.checked 3 Oct 2026
Search freshness
Refresh scheduling is separate from Cassandra replication, so immediate search visibility trades off against write latency.checked 3 Oct 2026
Search interfaces
Search requests can use the OpenSearch HTTP API or CQL, and Elassandra returns standard OpenSearch-style search responses.checked 3 Oct 2026
What it does
Elassandra embeds OpenSearch inside Apache Cassandra so each node serves distributed storage and distributed search.checked 3 Oct 2026

Where it runs

Search and storage mapping
An OpenSearch index maps to a Cassandra keyspace, and the current `_doc` model maps to a Cassandra table.checked 3 Oct 2026

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