{"id":27003616,"url":"https://github.com/zinclabs/zinc","last_synced_at":"2025-04-04T06:01:12.231Z","repository":{"id":37022067,"uuid":"434218673","full_name":"zincsearch/zincsearch","owner":"zincsearch","description":"ZincSearch . 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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.\n\nIt 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\n\nIt 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).\n\nCheck the below video for a quick demo of ZincSearch.\n\n[![Zinc Youtube](./screenshots/zinc-youtube.jpg)](https://www.youtube.com/watch?v=aZXtuVjt1ow)\n\n# Why ZincSearch\n\nWhile 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.\n\n# Features:\n\n1. Provides full text indexing capability\n2. Single binary for installation and running. Binaries available under releases for multiple platforms.\n3. Web UI for querying data written in Vue\n4. Compatibility with Elasticsearch APIs for ingestion of data (single record and bulk API)\n5. Out of the box authentication\n6. Schema less - No need to define schema upfront and different documents in the same index can have different fields.\n7. Index storage in disk\n8. aggregation support\n\n# Documentation\n\nDocumentation is available at [https://zincsearch-docs.zinc.dev/](https://zincsearch-docs.zinc.dev/)\n\n# Screenshots\n\n## Search screen\n\n![Search screen](./screenshots/search_screen.jpg)\n\n## User management screen\n\n![Users screen](./screenshots/users_screen.jpg)\n\n# Getting started\n\n## Quickstart\n\nCheck [Quickstart](https://zincsearch-docs.zinc.dev/quickstart/)\n\n# Releases\n\nZincSearch has hundreds of production installations.\n\n# ZincSearch Vs OpenObserve\n\n| Feature              | ZincSearch                                                       | OpenObserve                                                                               |\n| -------------------- | ---------------------------------------------------------------- | ----------------------------------------------------------------------------------------- |\n| Ideal use case       | App search                                                       | Logs, metrics, traces (Immutable Data)                                                    |\n| Storage              | Disk                                                             | Disk, Object (S3), GCS, MinIO, swift and more.                                            |\n| Preferred Use case   | App search                                                       | Observability (Logs, metrics, traces)                                                     |\n| Max data supported   | 100s of GBs                                                      | Petabyte scale                                                                            |\n| High availability    | Not available                                                    | Yes                                                                                       |\n| Open source          | Yes                                                              | Yes, [OpenObserve](https://github.com/openobserve/openobserve)                            |\n| ES API compatibility | Yes                                                              | Yes                                                                                       |\n| GUI                  | Basic                                                            | Very Advanced, including dashboards                                                       |\n| Cost                 | Open source                                                      | Open source                                                                               |\n| Get started          | [Open source docs](https://zincsearch-docs.zinc.dev/quickstart/) | [Open source docs](https://openobserve.ai/docs) or [Cloud](https://cloud.openobserve.ai) |\n\n# Community\n\n- How to develop and contribute to ZincSearch\n\n  Check the [contributing guide](./CONTRIBUTING.md) . Also check the [roadmap items](https://github.com/orgs/zinclabs/projects/3)\n\n# Examples\n\nYou 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:\n\n1. https://github.com/jorgeloaiza48/Enron-Email-DataSet\n1. https://github.com/jhojanperlaza/email_search_engine\n1. https://github.com/carlosarraes/zinmail\n1. https://github.com/devjopa/golab-search\n1. https://github.com/avaco2312/zincsearch\n1. https://github.com/paolorossig/email-indexer\n1. https://github.com/ulimonte05/zincsearching\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzinclabs%2Fzinc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzinclabs%2Fzinc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzinclabs%2Fzinc/lists"}