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https://github.com/zinclabs/zinc
ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
https://github.com/zinclabs/zinc
elasticsearch go golang modern opensearch search searchengine vuejs
Last synced: 2 months ago
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ZincSearch . A lightweight alternative to elasticsearch that requires minimal resources, written in Go.
- Host: GitHub
- URL: https://github.com/zinclabs/zinc
- Owner: zincsearch
- License: other
- Created: 2021-12-02T12:49:41.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-04-14T03:04:41.000Z (7 months ago)
- Last Synced: 2024-04-14T05:08:20.716Z (7 months ago)
- Topics: elasticsearch, go, golang, modern, opensearch, search, searchengine, vuejs
- Language: Go
- Homepage: https://zincsearch-docs.zinc.dev
- Size: 11.1 MB
- Stars: 16,350
- Watchers: 158
- Forks: 704
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
- awesome - Zinc - ZincSearch. A lightweight alternative to elasticsearch (Programming Languages / Golang)
- awesome-tools - zinc - Zinc Search engine. A lightweight alternative to elasticsearch that requires minimal resources, written in Go. (Uncategorized / Uncategorized)
- awesome-golang-repositories - zinc
README
[](https://goreportcard.com/report/github.com/zincsearch/zincsearch)
[](https://zincsearch-docs.zinc.dev/) [](https://codecov.io/github/zinclabs/zincsearch)
❗Note: If your use case is of log search (app and security logs) instead of app search (implement search feature in your application or website) then you should check [openobserve/openobserve](https://github.com/openobserve/openobserve) project built in rust that is specifically built for log search use case.
# ZincSearch
ZincSearch is a search engine that does full text indexing. It is a lightweight alternative to Elasticsearch and runs using a fraction of the resources. It uses [bluge](https://github.com/blugelabs/bluge) as the underlying indexing library.
It is very simple and easy to operate as opposed to Elasticsearch which requires a couple dozen knobs to understand and tune which you can get up and running in 2 minutes
It is a drop-in replacement for Elasticsearch if you are just ingesting data using APIs and searching using kibana (Kibana is not supported with ZincSearch. ZincSearch provides its own UI).
Check the below video for a quick demo of ZincSearch.
[](https://www.youtube.com/watch?v=aZXtuVjt1ow)
# Why ZincSearch
While Elasticsearch is a very good product, it is complex and requires lots of resources and is more than a decade old. I built ZincSearch so it becomes easier for folks to use full text search indexing without doing a lot of work.
# Features:
1. Provides full text indexing capability
2. Single binary for installation and running. Binaries available under releases for multiple platforms.
3. Web UI for querying data written in Vue
4. Compatibility with Elasticsearch APIs for ingestion of data (single record and bulk API)
5. Out of the box authentication
6. Schema less - No need to define schema upfront and different documents in the same index can have different fields.
7. Index storage in disk
8. aggregation support
# Documentation
Documentation is available at [https://zincsearch-docs.zinc.dev/](https://zincsearch-docs.zinc.dev/)
# Screenshots
## Search screen
## User management screen
# Getting started
## Quickstart
Check [Quickstart](https://zincsearch-docs.zinc.dev/quickstart/)
# Releases
ZincSearch has hundreds of production installations.
# ZincSearch Vs OpenObserve
| Feature | ZincSearch | OpenObserve |
| -------------------- | ---------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |
| Ideal use case | App search | Logs, metrics, traces (Immutable Data) |
| Storage | Disk | Disk, Object (S3), GCS, MinIO, swift and more. |
| Preferred Use case | App search | Observability (Logs, metrics, traces) |
| Max data supported | 100s of GBs | Petabyte scale |
| High availability | Not available | Yes |
| Open source | Yes | Yes, [OpenObserve](https://github.com/openobserve/openobserve) |
| ES API compatibility | Yes | Yes |
| GUI | Basic | Very Advanced, including dashboards |
| Cost | Open source | Open source |
| Get started | [Open source docs](https://zincsearch-docs.zinc.dev/quickstart/) | [Open source docs](https://openobserve.ai/docs) or [Cloud](https://cloud.openobserve.ai) |
# Community
- How to develop and contribute to ZincSearch
Check the [contributing guide](./CONTRIBUTING.md) . Also check the [roadmap items](https://github.com/orgs/zinclabs/projects/3)
# Examples
You can use ZincSearch to index and search any data. Here are some examples that folks have created to index and search enron email dataset using zincsearch:
1. https://github.com/jorgeloaiza48/Enron-Email-DataSet
1. https://github.com/jhojanperlaza/email_search_engine
1. https://github.com/carlosarraes/zinmail
1. https://github.com/devjopa/golab-search
1. https://github.com/avaco2312/zincsearch
1. https://github.com/paolorossig/email-indexer