{ "id": "elasticsearch-vs-opensearch", "ids": [ "elasticsearch", "opensearch" ], "title": "Elasticsearch vs OpenSearch: search relevance, compatibility and hosting", "heading": "Elasticsearch vs OpenSearch", "kicker": "Database software comparison", "deck": "Compare Elasticsearch and OpenSearch for search applications, vector retrieval, client and plugin compatibility, deployment and operating costs.", "description": "Compare Elasticsearch and OpenSearch for search applications, vector retrieval, client and plugin compatibility, deployment and operating costs.", "answerHeading": "Which database approach fits the workload?", "answer": "Consider Elasticsearch when its current APIs, search capabilities and chosen Elastic deployment match the application. Consider OpenSearch when the project’s engine, plugins and selected self-managed or provider arrangement match the brief. Their shared history does not establish current drop-in compatibility. Evaluate the actual query set, mappings, clients and migration route rather than choosing from the project names alone.", "checkedAt": "2026-10-15", "researchTag": "Data model, application fit and operating scope", "researchLimit": "Official product, pricing and technical documentation reviewed. These are proposed evaluation briefs, not completed migrations, performance benchmarks or reliability measurements.", "datasetDescription": "Seven application and buying differences, four proposed database exercises and four acceptance checks for Elasticsearch vs OpenSearch.", "type": "workflow-buying", "rows": [ [ "Product boundary", "Elastic search engine with selected subscription and cloud options", "OpenSearch project engine, Dashboards and related tooling" ], [ "Search brief", "Text, structured and vector retrieval in the chosen version", "Search and vector capabilities through the chosen version and plugins" ], [ "Application interface", "Validate the current Elasticsearch client and API behaviour", "Validate the current OpenSearch client and API behaviour" ], [ "Visual tooling", "Specify the required Kibana and surrounding solution scope", "Specify Dashboards and the required plugins" ], [ "Migration", "Check mappings, queries, pipelines, snapshots and extensions", "Check source compatibility and the proposed migration path" ], [ "Free access", "Free self-managed Basic; paid features and cloud differ", "Free project software; managed providers and support differ" ], [ "Operating bill", "Deployment, indexed data, retention, query and optional service scope", "Cluster or provider costs, storage, ingestion, operations and support" ] ], "scenarios": [ { "name": "A relevance set", "question": "Do agreed search intents return useful results?", "left": "Run a labelled set against the intended Elasticsearch configuration.", "right": "Run the same set against the intended OpenSearch configuration.", "note": "Include exact names, misspellings and filtered results; agree relevance judgements before comparing output." }, { "name": "A changed document", "question": "When does a corrected record become searchable?", "left": "Trace ingestion, indexing and the application read path.", "right": "Trace the equivalent ingestion and indexing path.", "note": "Use an approved sandbox record and record the application’s freshness requirement." }, { "name": "An application client", "question": "Can the real application use required queries and plugins?", "left": "Exercise its client, query and extension versions.", "right": "Exercise the proposed replacement client, queries and plugins.", "note": "A successful basic request does not establish full API compatibility." }, { "name": "A controlled migration", "question": "Can a representative collection be moved and verified?", "left": "Export or reindex using the supported proposed path.", "right": "Import or reindex using the supported proposed path.", "note": "Compare document counts, mappings, queries and rollback steps." } ], "exampleTable": { "caption": "Proposed acceptance checks for an authorised evaluation; no measured product result is implied.", "headers": [ "Requirement", "Proposed exercise", "Accept when" ], "rows": [ [ "Relevance", "Review a fixed labelled query set", "The application owner can explain acceptable and failed results" ], [ "Freshness", "Correct a test record and trace its indexed version", "The expected record becomes visible within the stated requirement" ], [ "Compatibility", "Exercise real application calls and required extensions", "Supported versions and remaining code changes are recorded" ], [ "Migration", "Move a representative collection in isolation", "Counts, mappings, query behaviour and rollback are verified" ] ] }, "sections": [ { "id": "relevance", "title": "Define search quality before comparing engines", "navLabel": "Search quality", "paragraphs": [ "Build a small relevance set around actual search intents. Include a product code, a misspelling, an ambiguous phrase and a filter that must exclude unavailable records. Assign acceptable results before tuning either configuration.", "Vector retrieval adds choices about embeddings, filtering and ranking. Scope any external model or inference service separately and retain the query, configuration and expected judgement with the evaluation." ] }, { "id": "compatibility", "title": "Treat migration as an application change", "navLabel": "Migration fit", "paragraphs": [ "Elasticsearch and OpenSearch have a shared project history, but current clients, plugins, mapping behaviour and features must be checked against specific versions. Do not infer compatibility from a similar endpoint or query example.", "Write a migration inventory covering mappings, ingestion pipelines, dashboards, access controls and application calls. Include a verified data path, a change window and a rollback plan before estimating the move." ] } ], "faqs": [ { "question": "Is OpenSearch the same service as Amazon OpenSearch Service?", "answer": "No. OpenSearch is the project software. Amazon OpenSearch Service and other managed offers have separate hosting, features and commercial conditions." }, { "question": "Can I swap current Elasticsearch and OpenSearch without changes?", "answer": "Do not assume that. Validate the actual clients, versions, APIs, plugins and migration route used by the application." }, { "question": "Which search engine is more relevant?", "answer": "This page reports no relevance benchmark. Use a fixed labelled query set and agreed judgements with the actual configurations." } ], "sources": [ { "url": "https://www.elastic.co/elasticsearch", "facts": "Search and analytics engine with text, vector and structured data; self-managed and cloud deployments." }, { "url": "https://www.elastic.co/subscriptions", "facts": "Free self-managed Basic differs from paid capabilities, support and cloud arrangements." }, { "url": "https://opensearch.org/about/", "facts": "Community project with search engine, Dashboards and Data Prepper; plugin and provider scope differ." } ], "relatedLinks": [ { "path": "/categories/database-software/", "title": "Explore database software" }, { "path": "/guides/database-models-search-documents-graphs-analytics/", "title": "Choose a database model for search, documents, graphs and analytics" }, { "path": "/guides/database-managed-vs-self-hosted/", "title": "Compare managed and self-hosted database responsibilities" } ], "downloads": [ { "path": "/downloads/elasticsearch-vs-opensearch-evaluation.csv", "title": "Download the database evaluation checklist (CSV)", "description": "Four proposed checks with blank evidence and owner fields. Record the exact version, edition, region, deployment and workload used." } ] }