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OpenSearch is an open-source search and analytics suite derived from Elasticsearch 7.10.2. Created by AWS in 2021 after Elastic changed Elasticsearch’s license, OpenSearch maintains compatibility with the Elasticsearch API while being fully open-source under Apache 2.0.

Quick comparison

MeilisearchOpenSearch
Primary focusFast, relevant searchSearch & analytics platform
LicenseMIT (CE) / BUSL-1.1 (EE)Apache 2.0
Setup complexityReady in minutesSteep learning curve
PerformanceUnder 50ms out-of-the-boxRequires tuning
Resource usageLightweightMemory-intensive
ArchitectureSingle-node or distributed (sharding & replication)Distributed clusters
Best forApp/site searchLarge-scale analytics

What OpenSearch does well

Truly open source

OpenSearch is fully open-source under Apache 2.0 with no proprietary components. Since September 2024, the project is governed by the OpenSearch Software Foundation under the Linux Foundation, ensuring vendor-neutral community governance.

Elasticsearch compatibility

OpenSearch maintains API compatibility with Elasticsearch 7.x, making migration straightforward for existing Elasticsearch users. Most Elasticsearch tooling and knowledge transfers directly.

Distributed architecture

Like Elasticsearch, OpenSearch scales horizontally across clusters for petabyte-scale deployments. The shard-based architecture supports massive data volumes.

Analytics capabilities

OpenSearch includes dashboards (fork of Kibana), aggregations, and analytics features suitable for log analysis, observability, and business intelligence use cases.

AWS integration

OpenSearch Service on AWS provides managed hosting with tight integration into the AWS ecosystem, including IAM, VPC, and CloudWatch.

When to choose Meilisearch instead

You need search that works immediately

Meilisearch delivers relevant, typo-tolerant search results without configuration. OpenSearch, like Elasticsearch, requires understanding analyzers, mappings, and query DSL to achieve similar relevancy.

You want minimal operational overhead

OpenSearch cluster management requires expertise in shards, replicas, and distributed systems. Meilisearch now supports sharding and replication, but can also run as a single binary with no external dependencies, making it simpler to get started.

Your team lacks search expertise

OpenSearch inherits Elasticsearch’s complexity. The Query DSL has a steep learning curve, and optimal configuration requires significant experience. Meilisearch’s intuitive API can be learned quickly.

You need predictable resource usage

OpenSearch is memory-intensive and requires careful capacity planning. Meilisearch’s efficient architecture provides consistent performance with lower resource requirements. Meilisearch now supports sharding and replication while remaining simpler to operate than OpenSearch. For most application search use cases, Meilisearch handles datasets with consistent sub-50ms responses without the operational overhead of OpenSearch clusters. OpenSearch is designed for backend search and analytics. Meilisearch is built specifically for user-facing instant search with features like typo tolerance and search-as-you-type.

When to choose OpenSearch

Consider OpenSearch if:
  • You’re migrating from Elasticsearch and need API compatibility
  • You need distributed search across petabytes of data
  • You’re building log analytics, observability, or SIEM solutions
  • You require complex aggregations and analytics beyond search
  • You want tight AWS integration through OpenSearch Service
  • You have teams with existing Elasticsearch expertise

Migration resources

If you’re considering Meilisearch:
OpenSearch is a trademark of the OpenSearch project. This comparison is based on publicly available information and our own analysis.