Quick comparison
See how Meilisearch and Elasticsearch compare at a glance.
Meilisearch
ElasticsearchWhere Meilisearch fits as your Elasticsearch alternative
Answers to the most common evaluation questions when comparing the two.
How does Meilisearch compare to Elasticsearch for user-facing search?
Meilisearch is built for instant, user-facing search with zero configuration. Elasticsearch is a general-purpose search and analytics engine that requires tuning.
- Sub-50ms responses with no shard sizing or analyzer configuration.
- Zero-config relevancy with sensible ranking rules built in.
- Single binary architecture, no JVM, low memory footprint.
How is Meilisearch deployed compared to Elasticsearch?
Meilisearch Cloud is the recommended deployment, a fully managed search service with high availability and automated backups.
- Meilisearch Cloud handles provisioning, scaling, upgrades, and HA so you do not run a cluster.
- Choice of region at project creation, including EU regions for data residency.
- Self-hosting is also available under the open-source Community Edition (MIT) for teams that need it.
Can Meilisearch replace Elasticsearch for ecommerce search?
Yes for product search and merchandising. Meilisearch ships with the relevance and merchandising features ecommerce teams need.
- Search Rules with a visual editor for pinning, triggers, empty-query merchandising, and campaigns.
- Hybrid keyword and semantic search with your choice of embedder.
- Sorting without index duplication. Rank on multiple criteria from a single index.
What's the migration path from Elasticsearch to Meilisearch?
Meilisearch publishes a dedicated Elasticsearch migration guide with mapping for the most common settings.
- Export Elasticsearch indexes and map analyzer settings to Meilisearch equivalents.
- Import via the documents endpoint in batches.
- Run both in parallel behind a feature flag before cutting over.
Where can I host Meilisearch in Europe?
Meilisearch Cloud offers EU regions you can pick at project creation.
- Meilisearch Cloud EU regions for data residency in Europe.
- GDPR-compliant and SOC 2 Type II certified.
- For teams with stricter requirements, Meilisearch can also be self-hosted on European infrastructure.
What Elasticsearch does well
Elasticsearch is a capable solution with its own strengths.
Massive scalability
Distributed architecture can scale across hundreds of nodes, handling petabytes of data.
Comprehensive analytics
Aggregations framework enables complex real-time analytics beyond simple search.
Elastic Stack ecosystem
Integrates with Kibana, Logstash, and Beats for a complete observability platform.
Which one should you choose?
The right choice depends on your specific needs and constraints.
Choose Meilisearch if you…
Need search that works immediately
Meilisearch delivers relevant, typo-tolerant results out-of-the-box without configuration.
Want a managed search service
Meilisearch Cloud is fully managed with HA and automated backups, no cluster to operate.
Lack dedicated search expertise
Meilisearch's intuitive API designed to get you up and running quickly.
Need predictable costs
Fixed monthly Cloud pricing from $20/mo, with custom pricing available via sales.
Building user-facing search
Optimized for instant, sub-50ms responses across most user-facing workloads.
Choose Elasticsearch if you…
Need unified search and analytics
Search logs, metrics, and documents in a single platform.
Have billions of documents
Distributed architecture scales horizontally across hundreds of nodes.
Have a dedicated ops team
Team with Elasticsearch expertise to manage clusters.
Need advanced aggregations
Complex analytics beyond simple search.
Building observability solutions
Log analytics, security monitoring, or APM.
Feature comparison
A detailed look at the features and capabilities of each solution.
| Feature | Meilisearch | Elasticsearch |
|---|---|---|
| Licensing | ||
| License | MIT CE / BUSL-1.1 EE | AGPL / SSPL / ELv2 |
| Self-hosting | ||
| Search Features | ||
| Typo tolerance | Built-in | Requires config |
| Instant search (<50ms) | With tuning | |
| Faceted search | ||
| Geo search | ||
| AI Features | ||
| Hybrid search | ||
| Vector search | ||
| Built-in embeddings | ||
| Operations | ||
| Single binary deployment | ||
| Cluster management | Optional (Cloud) | Required |
| Zero config relevancy | ||