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We just released Quickwit 0.6! Read the blog post to learn about the latest powerful features!
gharchive-demo.mp4
- 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
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- Distributed and replicated native ingestion
- Local storage caching
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- 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 super happy to have contributions: code, documentation, issues, feedback, or even saying hello on Discord! Here is how you can help us build the future of log management:
- Have a look through GitHub issues labeled "Good first issue".
- Read our Contributor Covenant Code of Conduct.
- Create a fork of Quickwit and submit your pull request!
✨ And to thank you for your contributions, claim your swag by emailing us at hello at quickwit.io.
We always welcome contributions: code, documentation, issues, feedback, or even say hello on Discord! Here is how you can help us build the next-gen search engine:
- Have a look at the GitHub issues labeled "Good first issue".
- Delve into contributing guide.
- Read our Contributor Covenant Code of Conduct.
- Create a fork of Quickwit and submit your pull request!
✨ Contributors can claim our swag by emailing us at hello at quickwit.io.