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Cloud-native search engine for log management & analytics

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Quickwit Log Management & Analytics Quickwit Log Management & Analytics

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The new way to manage your logs at any scale

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Quickwit is a cloud-native search engine for log management & analytics. It is designed to be very cost-effective, easy to operate, and scale to petabytes.



? Features

  • Index data persisted on object storage (AWS S3, GCS, MinIO, Ceph)
  • Ingest JSON documents with or without a strict schema
  • Ingest & Aggregation API Elasticsearch compatible
  • Lightweight Embedded UI
  • Runs on a fraction of the resources: written in Rust, powered by the mighty tantivy
  • Works out of the box with sensible defaults
  • Optimized for multi-tenancy. Add and scale tenants with no overhead costs
  • Distributed search
  • Cloud-native: Kubernetes ready
  • Add and remove nodes in seconds
  • Decoupled compute & storage
  • Sleep like a log: all your indexed data is safely stored on object storage
  • Ingest your documents with exactly-once semantics
  • Kafka-native ingestion
  • Search stream API that notably unlocks full-text search in ClickHouse

? Roadmap

? Uses & Limitations

:white_check_mark:   When to use :x:   When not to use
Your documents are immutable: application logs, system logs, access logs, user actions logs, audit trail (logs), etc. Your documents are mutable.
Your data has a time component. Quickwit includes optimizations and design choices specifically related to time. You need a low-latency search for e-commerce websites.
You want a full-text search in a multi-tenant environment. You provide a public-facing search with high QPS.
You want to index directly from Kafka. You want to re-score documents at query time.
You want to add full-text search to your ClickHouse cluster.
You ingest a tremendous amount of logs and don't want to pay huge bills.
You ingest a tremendous amount of data and you don't want to waste your precious time babysitting your cluster.

⚡ Getting Started

Quickwit compiles to a single binary and we provide various ways to install it. The easiest is to run the command below from your preferred shell:

curl -L https://install.quickwit.io | sh

You can now move this executable directory wherever sensible for your environment and possibly add it to your PATH environment.

Take a look at our Quick Start to do amazing things, like Creating your first index or Adding some documents, or take a glance at our full Installation guide!

? Tutorials

? FAQ

How can I switch from Elasticsearch to Quickwit?

In Quickwit 0.3, we released Elasticsearch compatible Ingest-API, so that you can change the configuration of your current log shipper (Vector, Fluent Bit, Syslog, ...) to send data to Quickwit. You can query the logs using the Quickwit Web UI or Search API. We also support ES compatible Aggregation-API.

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

The core difference and advantage of Quickwit is its architecture that is built from the ground up for cloud and log management. Optimized IO paths make search on object storage sub-second and thanks to the true decoupled compute and storage, search instances are stateless, it is possible to add or remove search nodes within seconds. Last but not least, we implemented a highly-reliable distributed search and exactly-once semantics during indexing so that all engineers can sleep at night. All this slashes costs for log management.

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 that you are free to use Quickwit for your project, as long as you don't modify Quickwit. If you do, 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)?

Not today, but HA is on our roadmap.

What is Quickwit's business model?

Our business model relies on our commercial license. There is no plan to become SaaS in the near future.

? Third-Party Integration

Store logs on AWS S3 Store logs on AWS S3   Google Cloud Storage   Metastore Backed by Postgresql    Integrate with Minio   Integration with Ceph Integration with Ceph   Collect Logs on Kubernetes cluster   Ingest Logs with Kafka Ingest Logs with Kafka   Ingest logs with Amazon Kinesis  

? Community

? Blog Posts

? Youtube Videos

Chat with us in Discord | Follow us on Twitter

? Contribute and spread the word

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:

✨ And to thank you for your contributions, claim your swag by emailing us at hello at quickwit.io.

? Reference

Open Source Agenda is not affiliated with "Quickwit" Project. README Source: quickwit-oss/quickwit

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