Cloud-Native Observability Search Engine
11.1k 2026-04-18

quickwit-oss/quickwit

Quickwit is a cloud-native, open-source search engine designed for high-performance observability data (logs, traces, metrics) with sub-second queries on cloud storage.

Core Features

Full-text search and aggregation queries
Elasticsearch-compatible API for seamless integration
Sub-second search performance on cloud storage (S3, Azure, GCS)
Decoupled compute and storage for scalability and cost efficiency
Kubernetes-ready deployment with Helm charts

Detailed Introduction

Quickwit is an innovative open-source, cloud-native search engine specifically engineered for observability use cases, including log management and distributed tracing. It distinguishes itself by offering sub-second search capabilities directly on cost-effective cloud storage like S3, Azure Blob Storage, and GCS, thanks to its decoupled compute and storage architecture. Positioned as a powerful alternative to commercial solutions like Datadog and Elasticsearch, Quickwit provides an Elasticsearch-compatible API, schemaless indexing, and native integration with tools like Jaeger and OpenTelemetry, making it ideal for modern, scalable data analytics.

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