# quickwit
**Repository Path**: mirrors_spullara/quickwit
## Basic Information
- **Project Name**: quickwit
- **Description**: Quickwit is a fast and highly reliable distributed search engine designed from the ground up to index and query vast amounts of data with unmatched cost-efficiency.
- **Primary Language**: Unknown
- **License**: AGPL-3.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-10-27
- **Last Updated**: 2025-12-21
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
[](https://codecov.io/gh/quickwit-inc/quickwit) [](CODE_OF_CONDUCT.md) [](LICENCE.md)
[](https://gitter.im/quickwit-search/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
### We have just released the first version of Quickwit. Check out our [blog post](https://quickwit.io/blog/quickwit-first-release/) to grasp what we have been doing for the last six months.
Quickwit is a distributed search engine built from the ground up to offer cost-efficiency and high reliability. By mere mortals for mere mortals, Quickwit's architecture is as simple as possible [1](#footnote1).
Quickwit is written in Rust and built on top of the mighty [tantivy](https://github.com/tantivy-search/tantivy) library. We designed it to index big datasets.
## Why Quickwit?
Quickwit is born from the idea that today's search engines are hard to manage and uneconomical when dealing with large datasets and a low QPS[2](#footnote2) rate. Its benefits are most apparent in a multitenancy or a multi-index setting.
Quickwit allows true decoupled compute and storage.
We designed it to search straight from object storage like AWS S3 in a stateless manner.
Imagine hosting an arbitrary amount of indices on S3 for $25/TB.month and querying them with the same pool of search servers and with a subsecond latency.
Not only is Quickwit more cost-efficient, but search clusters are also easier to operate. One can add or remove search instances in seconds. You can also effortlessly index a massive amount of historical data using your favorite batch technology. Last but not least, Multi-tenant search is now cheap and painless.
- [Get started](https://quickwit.io/docs/getting-started/quickstart)
- [Look at the feature set](https://quickwit.io/docs/overview/features)
# Documentation
- [Introduction](https://quickwit.io/docs/)
## Getting started
- [Quickstart](https://quickwit.io/docs/getting-started/quickstart)
- [Installation](https://quickwit.io/docs/getting-started/installation)
## Overview
- [Features](https://quickwit.io/docs/overview/features)
- [Architecture](https://quickwit.io/docs/overview/architecture)
## Tutorials
- [Search on logs with timestamp pruning](https://quickwit.io/docs/tutorials/tutorial-hdfs-logs)
- [Setup a distributed search on AWS S3](https://quickwit.io/docs/tutorials/tutorial-hdfs-logs-distributed-search-aws-s3)
- [Set up your AWS S3 environment](https://quickwit.io/docs/tutorials/configure-aws-env)
## Administration
- [Operating in the cloud](https://quickwit.io/docs/administration/cloud-env)
## Reference
- [Quickwit CLI](https://quickwit.io/docs/reference/cli)
- [Index Config](https://quickwit.io/docs/reference/index-config)
- [Search API](https://quickwit.io/docs/reference/search-api)
- [Query language](https://quickwit.io/docs/reference/query-language)
- [Telemetry](https://quickwit.io/docs/reference/telemetry)
## Meta
- [Explore further](https://quickwit.io/docs/meta/explore-further)
- [Release notes](https://quickwit.io/docs/meta/release-notes)
- [Code of conduct](CODE_OF_CONDUCT.md)
- [Contributing](CONTRIBUTING.md)
---
1.: ... But not one bit simpler.
2.: QPS stands for Queries per second. It is a standard measure of the amount of search traffic.