Quickwit

Sub-second search & analytics engine on cloud storage

Stars
4.34K
Forks
225
Open issues
474
Closed issues
1.39K
Last release
5 months ago
Last commit
4 months ago
Watchers
4.34K
Total releases
16
Total commits
2.41K
Open PRs
27
Closed PRs
2.11K
Repo URL
Platform
License
other
Category
Offers premium version?
NO
Proprietary?
NO
About




Sub-second search & analytics engine on cloud storage

Quickstart | Docs | Tutorials | Chat | Download


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


gharchive-demo.mp4


Quickwit is the fastest search engine on cloud storage. It is a great fit for:

๐Ÿ’ก Features

  • Full-text search and aggregation queries
  • Elasticsearch query language support
  • Sub-second search on cloud storage (Amazon S3, Azure Blob Storage, โ€ฆ)
  • 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

Enterprise ready

  • 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)

๐Ÿš€ Quickstart

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

๐Ÿ“‘ Architecture overview

๐Ÿ“• Documentation

๐Ÿ“š Resources

๐Ÿ”ฎ Roadmap

๐Ÿ™‹ 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, 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 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.

๐Ÿค 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:

โœจ After your contributions are accepted, don't forget to claim your swag by emailing us at hello@quickwit.io. Thank you for contributing!

๐Ÿ’ฌ 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:

Alternative Projects

Subscribe to Open Source Businees Newsletter

Twice a month we will interview people behind open source businesses. We will talk about how they are building a business on top of open source projects.

We'll never share your email with anyone else.