Zincsearch
ZincSearch offers lightweight search and indexing software written in Go.
About Zincsearch
ZincSearch is a search engine for full-text indexing written in Go. It runs as a single binary, stores indexes on disk, and includes an embedded React web UI for querying data. It supports single-record and bulk data ingestion through Elasticsearch-compatible APIs, with built-in authentication, schemaless indexes, and aggregation support.
It is described for app search, such as search within an application or website, rather than log search. Stated limits include disk-only storage, data volumes in the hundreds of GBs, no high availability, and no Kibana support.
Key features
- Full-text indexing using bluge indexing library
- Single binary installation with embedded React web UI
- Elasticsearch-compatible single-record and bulk ingestion APIs
- Schemaless indexes allowing different fields per document
- Built-in authentication
- Aggregation support for queries
Best for: Developers who need to add search to an application or website without operating Elasticsearch.
Good for
- Single binary with embedded web UI
- Compatible with Elasticsearch ingestion APIs
- Schemaless indexing with disk storage
Watch out for
- Kibana is not supported
- High availability is not available
- Designed for app search, not log search
Zincsearch at a glance
- Category
- Development › APIs & Databases
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for APIs & Databases
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Zincsearch FAQ
Can I use Kibana with ZincSearch?
No. Kibana is not supported. ZincSearch provides its own UI for querying data.
Should I use ZincSearch for log search?
No. The project directs app and security log search to the OpenObserve project; ZincSearch is for app search.
Do I need to define a schema upfront?
No. It is schemaless, and different documents in the same index can have different fields.
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