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Meilisearch vs ZincSearch

Meilisearch: Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search. ZincSearch: Lightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest.

key differences

  • Meilisearch is built for larger datasets (≤ 10 TB) than ZincSearch (≤ 100 GB).
  • Horizontal scaling is addon in Meilisearch and none in ZincSearch.
  • Transactions: Meilisearch offers limited ACID; ZincSearch offers none.
  • Only Meilisearch has secondary indexes, vector search, geospatial, role-based access.

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 zincsearch for

  • +Small application search
  • +Lightweight replacement for a single Elasticsearch node
  • +Developer and test environments

best at · Search

MeilisearchDeveloper-friendly Rust search engine with typo tolerance and built-in hybrid semantic search.
ZincSearchLightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest.
overview
Primary model
Search Engine
Search Engine
Also supports
Document, Vector
Document
Type
Database engine
Database engine
Status
Active
Active
Developer
Meili SAS
ZincSearch community (originally Zinc Labs, now OpenObserve)
First release
2018
2021
Latest version
1.56.0 (Oct 26, 2026)
0.4.11 (Sep 12, 2026)
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
5.1
Rank
#72
#390
GitHub stars
59.7K
17.9K
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
Eventual
Schema
Flexible
Schemaless
Architecture
Single node, Client server
Single node, Client server
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)
Elasticsearch-style Query DSL (subset)
Client languages
JavaScript, Python, PHP, Ruby, Go, Rust, Java, Swift
Go, Python, JavaScript
Best for
Search, Vector search, RAG
Search
Add more to this comparisonNot sure either fits? Try smart match

Meilisearch vs ZincSearch: FAQ

What is the difference between Meilisearch and ZincSearch?

Meilisearch: Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search. ZincSearch: Lightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest. Meilisearch is built for larger datasets (≤ 10 TB) than ZincSearch (≤ 100 GB). Horizontal scaling is addon in Meilisearch and none in ZincSearch. Transactions: Meilisearch offers limited ACID; ZincSearch offers none.

When should I choose Meilisearch over ZincSearch?

Choose Meilisearch for website and documentation search; E-commerce product search with facets; and SaaS in-app search. Choose ZincSearch for small application search; lightweight replacement for a single Elasticsearch node; and developer and test environments.

Is Meilisearch or ZincSearch more popular?

Meilisearch ranks #72 on the WhichDB Score (32.3/100) and ZincSearch ranks #390 (5.1/100). Popularity is not fit: check the requirements that matter for your project.

Are Meilisearch and ZincSearch open source?

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