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https://github.com/quickwit-oss/quickwit

Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.
https://github.com/quickwit-oss/quickwit

big-data cloud-native cloud-storage distributed-tracing log-management logs open-source rust search-engine tantivy

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Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo.

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  Quickwit Cloud-Native Search Engine

  Quickwit Cloud-Native Search Engine






Cloud-native search engine for observability (logs, traces, and soon metrics!). An open-source alternative to Datadog, Elasticsearch,  Loki, and Tempo.






  Quickstart |

  Docs |

  Tutorials |

  Chat |

  Download







We just released Quickwit 0.7! Read the [blog post](https://quickwit.io/blog/quickwit-0.7) to learn about the latest powerful features!



### **Quickwit is the fastest search engine on cloud storage. It's the perfect fit for observability use cases**



- [Log management](https://quickwit.io/docs/log-management/overview)

- [Distributed tracing](https://quickwit.io/docs/distributed-tracing/overview)

- Metrics support is on the roadmap



### 🚀 Quickstart



- [Search and analytics on StackOverflow dataset](https://quickwit.io/docs/get-started/quickstart)

- [Tracing analytics with Grafana](https://quickwit.io/docs/get-started/tutorials/trace-analytics-with-grafana)

- [Tracing with Jaeger](https://quickwit.io/docs/get-started/tutorials/tutorial-jaeger)











# 💡 Features



- Full-text search and aggregation queries

- Elasticsearch-compatible API, use Quickwit with any Elasticsearch or OpenSearch client

- [Jaeger-native](https://quickwit.io/docs/distributed-tracing/plug-quickwit-to-jaeger)

- OTEL-native for [logs](https://quickwit.io/docs/log-management/overview) and [traces](https://quickwit.io/docs/distributed-tracing/overview)

- [Schemaless](https://quickwit.io/docs/guides/schemaless) or strict schema indexing

- Schemaless analytics

- Sub-second search on cloud storage (Amazon S3, Azure Blob Storage, Google Cloud Storage, …)

- Decoupled compute and storage, stateless indexers & searchers

- [Grafana data source](https://github.com/quickwit-oss/quickwit-datasource)

- Kubernetes ready - See our [helm-chart](https://quickwit.io/docs/deployment/kubernetes)

- RESTful API



## Enterprise ready



- Multiple [data sources](https://quickwit.io/docs/ingest-data/) Kafka / Kinesis / Pulsar native

- Multi-tenancy: indexing with many indexes and partitioning

- Retention policies

- Delete tasks (for GDPR use cases)

- Distributed and highly available* engine that scales out in seconds (*HA indexing only with Kafka)



# 📑 Architecture overview



![Quickwit Distributed Tracing](./docs/assets/images/quickwit-overview-light.svg#gh-light-mode-only)![Quickwit Distributed Tracing](./docs/assets/images/quickwit-overview-dark.svg#gh-dark-mode-only)



- [Architecture overview]([https://quickwit.io/docs/distributed-tracing/overview](https://quickwit.io/docs/overview/architecture))

- [Log management](https://quickwit.io/docs/log-management/overview)

- [Distributed traces](https://quickwit.io/docs/distributed-tracing/overview)



# 📕 Documentation



- [Installation](https://quickwit.io/docs/get-started/installation)

- [Log management with Quickwit](https://quickwit.io/docs/log-management/overview)

- [Distributed Tracing with Quickwit](https://quickwit.io/docs/distributed-tracing/overview)

- [Ingest data](https://quickwit.io/docs/ingest-data/)

- [REST API](https://quickwit.io/docs/reference/rest-api)



# 📚 Resources



- [Blog posts](https://quickwit.io/blog/)

- [Youtube channel](https://www.youtube.com/@quickwit8103)

- [Discord](https://discord.quickwit.io)



# 🔮 Roadmap



- [Quickwit 0.7 - Q3 2023](https://github.com/orgs/quickwit-oss/projects/8)

  - Distributed and replicated native ingestion

  - Local storage caching



- [Long-term roadmap](ROADMAP.md)

  - Live tail

  - SQL

  - Security (TLS, authentication, RBAC)

  - Alerting

  - [and more...](ROADMAP.md)



# 🙋 FAQ



### How can I switch from Elasticsearch to Quickwit?



Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support [ES aggregation DSL](https://quickwit.io/docs/reference/aggregation), the query DSL support is planned for Q2 2023.



### How is Quickwit different from traditional search engines like Elasticsearch or Solr?



The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped the index data structures and made search stateless and sub-second on cloud storage.



### How does Quickwit compare to Elastic in terms of cost?



We estimate that Quickwit can be up to 10x cheaper on average than Elastic. To understand how, check out our [blog post](https://quickwit.io/blog/commoncrawl/) about searching the web on AWS S3.



### What license does Quickwit use?



Quickwit is open-source under the GNU Affero General Public License Version 3 - AGPLv3. Fundamentally, this means you are free to use Quickwit for your project if you don't modify Quickwit. However, if you do and you are distributing your modified version to the public, you have to make the modifications public.

We also provide a commercial license for enterprises to provide support and a voice on our roadmap.



### Is it possible to setup Quickwit for a High Availability (HA)?



HA is available for search, for indexing it's available only with a Kafka source.



### What is Quickwit's business model?



Our business model relies on our commercial license. There is no plan to become SaaS soon.



# 🤝 Contribute and spread the word



We are always thrilled to receive contributions: code, documentation, issues, or feedback. Here's how you can help us build the future of log management:



- Start by checking out the [GitHub issues labeled "Good first issue"](https://github.com/quickwit-oss/quickwit/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22). These are a great place for newcomers to contribute.

- Read our [Contributor Covenant Code of Conduct](./CODE_OF_CONDUCT.md) to understand our community standards.

- [Create a fork of Quickwit](https://github.com/quickwit-oss/quickwit/fork) to have your own copy of the repository where you can make changes.

- To understand how to contribute, read our [contributing guide](./CONTRIBUTING.md).

- Set up your development environment following our [development setup guide](./CONTRIBUTING.md#development).

- Once you've made your changes and tested them, you can contribute by [submitting a pull request](./CONTRIBUTING.md#submitting-a-pr).



✨ After your contributions are accepted, don't forget to claim your swag by emailing us at [email protected]. Thank you for contributing!



# 💬 Join Our Community



We welcome everyone to our community! Whether you're contributing code or just saying hello, we'd love to hear from you. Here's how you can connect with us:



- Join the conversation on [Discord](https://discord.quickwit.io).

- Follow us on [Twitter](https://twitter.com/Quickwit_Inc).

- Check out our [website](https://quickwit.io/) and [blog](https://quickwit.io/blog) for the latest updates.

- Watch our [YouTube](https://www.youtube.com/channel/UCvZVuRm2FiDq1_ul0mY85wA) channel for video content.