Elasticsearch vs Meilisearch

Meilisearch is a lightweight open-source search engine focused on simplicity, whereas Elasticsearch offers broader analytics, vector search and enterprise features.

ElasticsearchDistributed search and analytics engine

MeilisearchOpen source search engine with a simple API

Which to pick

Pick Elasticsearch if you want…

Unified search-analytics-AI platform
Scalable analytics-heavy search
A free, open-source tool
Integrations with Kibana, AWS or Google Cloud (on Elasticsearch's list, not Meilisearch's)

Pick Meilisearch if you want…

Fast, relevant search with AI-enhanced capabilities
Simple, fast search APIs
Integrations with JavaScript, PHP or Ruby (on Meilisearch's list, not Elasticsearch's)

Elasticsearch is a distributed search and analytics engine requiring more operational overhead.

Side by side

What it is: Elasticsearch:Elasticsearch is an open-source distributed search, analytics and vector database engine for fast, scalable data retrieval.; Meilisearch:Meilisearch is an open-source search engine with a simple API offering fast full-text, semantic and multimodal search.
Best for: Elasticsearch:Unified search-analytics-AI platform; Meilisearch:Fast, relevant search with AI-enhanced capabilities
Who it’s for: Elasticsearch:Developers building search, observability, security or AI-driven applications; Meilisearch:Developers building search-enabled web, mobile or enterprise applications.
Pricing: Elasticsearch:Open source; Meilisearch:Freemium
Plans: Elasticsearch:—; Meilisearch:Cloud Starter $20/month per month · Base plan $30/month per month · XS instance $23/month per month · Instance $18/mo per month · Disk $5/mo per month
Open source: Elasticsearch:Yes; Meilisearch:Yes, 59,455 GitHub stars
Works with: Elasticsearch:Java, Python, Go, Kibana, AWS, Google Cloud, Azure; Meilisearch:JavaScript, PHP, Python, Ruby, Java, Go, .NET, Dart

Elasticsearch features

Hybrid Search. Combines full-text, filters and vector similarity for precise relevance.
Real-time Analytics. Aggregates high-cardinality data instantly for observability and security use cases.
Geospatial Engine. Supports geo-distance, polygons and hexagonal analytics on location data.
Serverless & Hosted Deployments. Offers fully managed serverless or hosted clusters on major clouds.
Rich Ecosystem. 350+ integrations, language clients and ingest pipelines for easy data ingestion.
Vector Database. Stores and searches dense and sparse embeddings for AI and RAG applications.

Meilisearch features

Search-as-you-type. Returns results in under 50 ms for instant user feedback.
Hybrid search. Combines full-text efficiency with semantic embeddings for deeper relevance.
Multimodal search. Indexes and queries images, video and audio alongside text using AI embeddings.
Faceting & filtering. Provides powerful faceting, filtering and sorting to build complex search interfaces.
Vector storage. Stores vectors for similarity queries and Retrieval-Augmented Generation use cases.
Federated search. Searches across multiple data sources in a single query.
Search analytics. Delivers actionable insights on queries, clicks and conversions.
Geosearch. Filters and sorts results based on geographic location.

Elasticsearch vs Meilisearch FAQ

Is Elasticsearch or Meilisearch free?+

Elasticsearch is free and open source. Meilisearch has a free plan; paid plans start at $5/month (Disk).

Which is cheaper, Elasticsearch or Meilisearch?+

Elasticsearch is free, so it costs less. Meilisearch starts at $5/month (Disk).

Is Elasticsearch or Meilisearch open source?+

Yes, both are open source: Elasticsearch and Meilisearch (meilisearch/meilisearch on GitHub).

Do Elasticsearch and Meilisearch integrate with the same tools?+

Partly. Both list Java, Python and Go. Elasticsearch also lists Kibana, AWS, Google Cloud and Azure; Meilisearch also lists JavaScript, PHP, Ruby, .NET and 7 more.

On DevHunt

Elasticsearch

Listed by DevHunt

Elasticsearch on DevHunt →Elasticsearch alternatives

Meilisearch