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Meilisearch vs Orama

Meilisearch: Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search. Orama: Tiny TypeScript full-text, vector and hybrid search engine for browsers, servers and the edge.

key differences

  • Meilisearch is built for larger datasets (≤ 10 TB) than Orama (≤ 100 GB).
  • Horizontal scaling is addon in Meilisearch and none in Orama.
  • Transactions: Meilisearch offers limited ACID; Orama offers none.
  • Only Meilisearch has role-based access.
  • Only Orama has in-memory.
  • Orama can run embedded in your application process.

choose meilisearch for

  • +Website and documentation search
  • +E-commerce product search with facets
  • +SaaS in-app search
  • +Semantic search over a product catalog

best at · Search, Vector search, RAG

choose orama for

  • +Static site and documentation search
  • +Offline search in web and mobile apps
  • +Edge-function search over small corpora
  • +Client-side RAG prototypes

best at · Search, Vector search, RAG

MeilisearchDeveloper-friendly Rust search engine with typo tolerance and built-in hybrid semantic search.
OramaTiny TypeScript full-text, vector and hybrid search engine for browsers, servers and the edge.
overview
Primary model
Search Engine
Search Engine
Also supports
Document, Vector
Vector, Document
Type
Database engine
Embedded library
Status
Active
Active
Developer
Meili SAS
Orama (OramaSearch Inc.)
First release
2018
2022
Latest version
1.56.0 (Oct 26, 2026)
3.1.18 (Dec 19, 2025)
License
Open source (permissive)MIT (Community Edition); BUSL-1.1 for Enterprise Edition features
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
32.3
19.6
Rank
#72
#165
GitHub stars
59.7K
10.6K
Stack Overflow questions
101
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
Addon
None
Multi-region
None
None
ACID
Limited
None
Consistency
Eventual
Strong
Schema
Flexible
Strict
Architecture
Single node, Client server
Embedded, In memory
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
—
—
Embedded
—
✓
Edge
—
✓
Clouds
–
–
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
✓
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
—
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Meilisearch search API (JSON)
Orama search API (TypeScript)
Client languages
JavaScript, Python, PHP, Ruby, Go, Rust, Java, Swift
JavaScript, TypeScript
Best for
Search, Vector search, RAG
Search, Vector search, RAG, Embedded
Add more to this comparisonNot sure either fits? Try smart match

Meilisearch vs Orama: FAQ

What is the difference between Meilisearch and Orama?

Meilisearch: Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search. Orama: Tiny TypeScript full-text, vector and hybrid search engine for browsers, servers and the edge. Meilisearch is built for larger datasets (≤ 10 TB) than Orama (≤ 100 GB). Horizontal scaling is addon in Meilisearch and none in Orama. Transactions: Meilisearch offers limited ACID; Orama offers none.

When should I choose Meilisearch over Orama?

Choose Meilisearch for website and documentation search; E-commerce product search with facets; and SaaS in-app search. Choose Orama for static site and documentation search; offline search in web and mobile apps; and edge-function search over small corpora.

Is Meilisearch or Orama more popular?

Meilisearch ranks #72 on the WhichDB Score (32.3/100) and Orama ranks #165 (19.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Meilisearch and Orama open source?

Yes. Meilisearch is open source. License: MIT (Community Edition); BUSL-1.1 for Enterprise Edition features. Yes. Orama is open source. License: Apache License 2.0.