We just released Quickwit 0.6! Read the blog post to learn about the latest powerful features!

• Log management
• Distributed traces
• Any immutable data: conversational data (emails, texts, messaging platforms) & event-based analytics … and more!

• Full-text search and aggregation queries
• Elasticsearch query language support
• Sub-second search on cloud storage (Amazon S3, Azure Blob Storage, …)
• Decoupled compute and storage, stateless indexers & searchers
• Schemaless or strict schema indexing
• Schemaless analytics
• Grafana data source
• Jaeger-native
• OTEL-native for logs and traces
• Kubernetes ready - See our helm-chart
• RESTful API

• Multiple data sources 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)

For a quick guide on how to install Quickwit, start a server, add documents to index, and search them - check out our Quickstart guide.

• Architecture overview
• Log management
• Distributed traces

• Installation
• Log management with Quickwit
• Distributed Tracing with Quickwit
• Ingest data
• REST API

• Blog posts
• Youtube channel
• Discord

• Quickwit 0.7 - Q3 2023

  • Distributed and replicated native ingestion
  • Local storage caching

• Long-term roadmap

  • Live tail
  • SQL
  • Security (TLS, authentication, RBAC)
  • Alerting
  • and more...

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, the query DSL support is planned for Q2 2023.

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.

We estimate that Quickwit can be up to 10x cheaper on average than Elastic. To understand how, check out our blog post about searching the web on AWS S3.

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.

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

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

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". These are a great place for newcomers to contribute.
• Read our Contributor Covenant Code of Conduct to understand our community standards.
• Create a fork of Quickwit to have your own copy of the repository where you can make changes.
• To understand how to contribute, read our contributing guide.
• Set up your development environment following our development setup guide.
• Once you've made your changes and tested them, you can contribute by submitting a pull request.

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

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.
• Follow us on Twitter.
• Check out our website and blog for the latest updates.
• Watch our YouTube channel for video content.