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Bleve vs ZincSearch

Bleve: Pure-Go full-text, geo and vector indexing library from Couchbase. ZincSearch: Lightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest.

key differences

  • Bleve is built for larger datasets (≤ 10 TB) than ZincSearch (≤ 100 GB).
  • Horizontal scaling is manual in Bleve and none in ZincSearch.
  • Transactions: Bleve offers limited ACID; ZincSearch offers none.
  • Only Bleve has vector search, geospatial, compression.
  • Bleve can run embedded in your application process.

choose bleve for

  • +Embedding search in Go services and CLIs
  • +Desktop or self-hosted apps written in Go
  • +Hybrid text plus vector search in Go

best at · Search, Vector search, Embedded

choose zincsearch for

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

best at · Search

BlevePure-Go full-text, geo and vector indexing library from Couchbase.
ZincSearchLightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest.
overview
Primary model
Search Engine
Search Engine
Also supports
Vector, Spatial
Document
Type
Embedded library
Database engine
Status
Active
Active
Developer
Couchbase and Bleve contributors
ZincSearch community (originally Zinc Labs, now OpenObserve)
First release
2014
2021
Latest version
2.6.1 (Aug 24, 2026)
0.4.11 (Sep 12, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
12.2
5.1
Rank
#272
#390
GitHub stars
11.2K
17.9K
Stack Overflow questions
17
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Small (≤ 100 GB)
Horizontal scaling
Manual
None
Multi-region
None
None
ACID
Limited
None
Consistency
Strong
Eventual
Schema
Flexible
Schemaless
Architecture
Embedded
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
Bleve query string syntax, Go API
Elasticsearch-style Query DSL (subset)
Client languages
Go
Go, Python, JavaScript
Best for
Search, Vector search, Embedded, Geo
Search
Add more to this comparisonNot sure either fits? Try smart match

Bleve vs ZincSearch: FAQ

What is the difference between Bleve and ZincSearch?

Bleve: Pure-Go full-text, geo and vector indexing library from Couchbase. ZincSearch: Lightweight single-binary full-text search engine in Go with Elasticsearch-compatible ingest. Bleve is built for larger datasets (≤ 10 TB) than ZincSearch (≤ 100 GB). Horizontal scaling is manual in Bleve and none in ZincSearch. Transactions: Bleve offers limited ACID; ZincSearch offers none.

When should I choose Bleve over ZincSearch?

Choose Bleve for embedding search in Go services and CLIs; desktop or self-hosted apps written in Go; and hybrid text plus vector search in Go. Choose ZincSearch for small application search; lightweight replacement for a single Elasticsearch node; and developer and test environments.

Is Bleve or ZincSearch more popular?

Bleve ranks #272 on the WhichDB Score (12.2/100) and ZincSearch ranks #390 (5.1/100). Popularity is not fit: check the requirements that matter for your project.

Are Bleve and ZincSearch open source?

Yes. Bleve is open source. License: Apache License 2.0. Yes. ZincSearch is open source. License: Apache License 2.0.