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Open-source and cloud-native Log Management at any scale
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What is Quickwit?

It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings.
Quickwit is a tool in the Log Management category of a tech stack.
Quickwit is an open source tool with 3.9K GitHub stars and 188 GitHub forks. Here’s a link to Quickwit's open source repository on GitHub

Who uses Quickwit?

Quickwit Integrations

PostgreSQL, Kubernetes, Kafka, Amazon Kinesis, and Minio are some of the popular tools that integrate with Quickwit. Here's a list of all 6 tools that integrate with Quickwit.
Pros of Quickwit
Written in Rust
Fast search
Great Search Engine

Quickwit's Features

  • Highly scalable distributed search
  • Sub-second full-text search on cloud / distributed storage
  • Stream indexing: Kafka and Kinesis native
  • Exactly-once semantics at indexing: no data loss
  • Time-based sharding

Quickwit Alternatives & Comparisons

What are some alternatives to Quickwit?
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.
It is intended as a successor to the popular log4j project. It is divided into three modules, logback-core, logback-classic and logback-access. The logback-core module lays the groundwork for the other two modules, logback-classic natively implements the SLF4J API so that you can readily switch back and forth between logback and other logging frameworks and logback-access module integrates with Servlet containers, such as Tomcat and Jetty, to provide HTTP-access log functionality.
It is a simple Logging Facade for Java (SLF4J) serves as a simple facade or abstraction for various logging frameworks allowing the end user to plug in the desired logging framework at deployment time.
It provides diagnostic logging to files, the console, and elsewhere. It is easy to set up, has a clean API, and is portable between recent .NET platforms.
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