> ## Documentation Index
> Fetch the complete documentation index at: https://www.meilisearch.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Meilisearch vs OpenSearch

> Compare Meilisearch and OpenSearch for search and analytics. Learn the differences and when each solution makes sense.

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

| | Meilisearch | OpenSearch |
| - | :-: | :-: |
| **Primary focus** | Fast, relevant search | Search & analytics platform |
| **License** | MIT (CE) / BUSL-1.1 (EE) | Apache 2.0 |
| **Setup complexity** | Ready in minutes | Steep learning curve |
| **Performance** | Under 50ms out-of-the-box | Requires tuning |
| **Resource usage** | Lightweight | Memory-intensive |
| **Architecture** | Single-node or distributed (sharding & replication) | Distributed clusters |
| **Best for** | App/site search | Large-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.

### You want simpler distributed search

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.

### You're building end-user search

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:

* [Quick start guide](https://www.meilisearch.com/docs/getting_started/first_project.md) - Get running in minutes
* [Search preview](https://www.meilisearch.com/docs/resources/self_hosting/getting_started/search_preview.md) - Explore capabilities
* [Indexing documents](https://www.meilisearch.com/docs/resources/internals/documents.md) - Import your data

> [!NOTE]
>
> OpenSearch is a trademark of the OpenSearch project. This comparison is based on publicly available information and our own analysis.


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