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quickwit-oss/quickwit

A cloud-native, open-source search engine optimized for fast, cost-effective observability data (logs, traces, metrics) on cloud storage.

Core Features

Full-text search and aggregation queries

Elasticsearch-compatible API and native integration with Jaeger/OTEL/Grafana

Sub-second search performance on cloud storage (S3, Azure, GCS)

Decoupled compute and storage for scalability and cost efficiency

Schemaless or strict schema indexing with enterprise features like multi-tenancy and retention

Detailed Introduction

Quickwit is a high-performance, cloud-native search engine designed specifically for observability data, including logs, traces, and upcoming metrics. It offers a cost-effective and scalable open-source alternative to commercial solutions like Datadog and Elasticsearch. By leveraging cloud storage (like S3) and decoupling compute from storage, Quickwit achieves sub-second search capabilities while providing an Elasticsearch-compatible API for seamless integration with existing tools and workflows. Its architecture supports schemaless indexing, multi-tenancy, and is Kubernetes-ready, making it ideal for modern, distributed environments.