NEW
An open-source, community-driven search and analytics suite derived from Elasticsearch with compatible APIs and added plugins.
DESCRIPTION
OpenSearch is a fork of Elasticsearch and Kibana, maintained as an open-source, community-governed project. It provides search, analytics, and observability features with a compatible REST API and Query DSL. Built-in plugins include security, anomaly detection, alerting, and index management. It integrates with OpenSearch Dashboards for visualization. Organizations choose OpenSearch for open licensing, community governance, and extensibility.
ALTERNATIVE DEFINITIONS
OpenSearch Project
OpenSearch is a community-driven, open source search and analytics suite derived from Elasticsearch.
Clarifies origin as a derivative fork and community-driven governance.
OpenSearch Documentation
OpenSearch provides a distributed, RESTful search engine and visualization with OpenSearch Dashboards.
Highlights the distributed engine and the Dashboards visualization layer.
RELATED TERMS
OpenSearch Dashboards Lucene Inverted Index Full-Text Search Index Management Data Anomaly Detection Pipelines Shard Allocation Security Plugin
COMPETING TERMS
KNOWLEDGE AREAS
Data Storage & Operations Observability & Telemetry Data Engineering
TARGET AUDIENCE
DevOps Engineer Software Developer Data Engineer Cloud Architect
EXTERNAL SOURCES
- Wikipedia - OpenSearch (software)
- OpenSearch Project - Official docs and guides
- OpenSearch Project - Security plugin documentation
- AWS - Managed OpenSearch service
TOP QUESTIONS
What is OpenSearch and how did it originate?
OpenSearch is a community-driven fork of Elasticsearch and Kibana. It continues under open-source governance with compatible APIs and added features.
Category: Overview
How compatible is OpenSearch with Elasticsearch?
It retains similar REST APIs and DSL, but differences exist by version. Test compatibility for specialized features and plugins.
Category: Compatibility
What built-in features does OpenSearch include?
Plugins provide security, alerting, anomaly detection, index management, and dashboards for visualization.
Category: Features
Why choose OpenSearch over Elasticsearch?
Organizations may prefer its open-source governance, licensing, and community ecosystem. Feature needs and support models also influence choice.
Category: Opinion
How do I secure an OpenSearch cluster?
Use the security plugin for TLS, users, roles, and fine-grained access controls. Isolate the cluster on private networks.
Category: Security
What are OpenSearch scaling best practices?
Right-size shards, separate master and data nodes, and manage index lifecycles. Monitor heap, GC, and query loads.
Category: BestPractices
Does OpenSearch support observability use cases?
Yes. It supports logs, metrics, and traces pipelines and visualization via OpenSearch Dashboards.
Category: UseCases
What are common pitfalls with OpenSearch?
Oversharding, poor mappings, and unbounded index counts strain clusters. Plan ILM and capacity carefully.
Category: Mistakes
How can I migrate from Elasticsearch to OpenSearch?
Use snapshot/restore or reindex, validate mappings and ingestion pipelines, and test plugin equivalents prior to cutover.
Category: HowTo