MaximWhat 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.
Key Features
Highly scalable distributed searchSub-second full-text search on cloud / distributed storageStream indexing: Kafka and Kinesis nativeExactly-once semantics at indexing: no data lossTime-based sharding
Quickwit Pros & Cons
Pros of Quickwit
- ✓Fast search
- ✓Great Search Engine
- ✓Open-source
- ✓Scalable
- ✓Written in Rust
Cons of Quickwit
No cons listed yet.
Quickwit Alternatives & Comparisons
What are some alternatives to Quickwit?
Elasticsearch
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
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.
Logback
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.
