Elasticsearch / OpenSearch
Full-text search and analytics engines.
Where we use it
- Site and product search
- Log analytics
Strengths
- Relevance tuning
- Aggregations
Considerations
Trade-offs worth knowing before you choose it.
- Cluster operations and memory needs
Elasticsearch / OpenSearch is a trademark of its owner. Listing it describes work we offer and does not imply a partnership or certification.
Services that use Elasticsearch / OpenSearch
More in databases and storage
- PG
PostgreSQL
A powerful open-source relational database with row-level security, JSONB and rich indexing.
- My
MySQL
The widely deployed open-source relational database.
- Ma
MariaDB
A community-developed MySQL-compatible database.
- MS
Microsoft SQL Server
Microsoft's enterprise relational database.
- Mo
MongoDB
A document database for flexible, evolving data structures.
- Rd
Redis
An in-memory data store for caching, rate limiting, queues and real-time data.
- SL
SQLite
An embedded SQL database in a single file.
- S3
Object storage (S3-compatible)
Durable storage for files and media using the S3 API — AWS S3, Cloudflare R2 and others.
Have a Elasticsearch / OpenSearch project in mind?
New build, rescue or modernisation — share what you have and where you want to get to.