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Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Fast, cloud-native search engine for logs and traces
Quickwit delivers sub‑second, full‑text search and analytics on cloud storage for log management, distributed tracing, and upcoming metrics, with Elasticsearch‑compatible APIs and native Grafana integration.
Quickwit is built for engineers and ops teams that need high‑performance search over observability data without the operational overhead of traditional search clusters. It fits organizations moving to cloud‑native stacks, those consolidating logs and traces, and teams looking to cut costs while keeping Elasticsearch‑compatible query capabilities.
The engine indexes data directly on object stores such as Amazon S3, Azure Blob, or Google Cloud Storage, delivering sub‑second query latency. It supports full‑text search, aggregations, and schemaless or strict schema indexing. Native integrations include Jaeger for tracing, OpenTelemetry for logs and traces, and a Grafana data source for visual analytics. The Elasticsearch‑compatible REST API lets you reuse existing clients and dashboards.
Quickwit runs stateless searchers and indexers, decoupling compute from storage. It is Kubernetes‑ready with an official Helm chart, and can ingest from Kafka, Kinesis, or Pulsar for multi‑tenant, high‑availability setups. Retention policies and GDPR‑oriented delete tasks are built‑in, making long‑term data management straightforward.
When teams consider Quickwit, these hosted platforms usually appear on the same shortlist.
Hosted search-as-a-service platform delivering real-time, full-text search for apps and websites
Managed search service to index and query text & structured data
AI-powered enterprise search service that indexes and searches across various content repositories with natural language queries
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Centralized log analysis for microservices
Ingest logs from Kubernetes via Fluent Bit, query across all services in sub‑second time, and reduce storage costs.
Distributed tracing with Jaeger
Collect trace spans, run ad‑hoc trace queries through Grafana, and accelerate root‑cause analysis.
Migration from Elasticsearch
Switch ingest pipelines to Quickwit using the compatible API, retain existing dashboards, and cut infrastructure spend.
Retention‑policy driven archiving
Define per‑index retention, automatically purge old data to meet compliance and GDPR requirements.
Quickwit implements a large subset of the Elasticsearch/OpenSearch API, including ingest endpoints and popular query DSL features, allowing you to migrate log shippers and clients with minimal changes.
Quickwit is architected to search directly on cloud object storage, optimizing I/O paths and using stateless indexers and searchers, which yields sub‑second latency without managing heavy storage nodes.
The project estimates up to 10× lower total cost of ownership by leveraging cheap cloud storage instead of dedicated search hardware.
Quickwit is released under the Apache License, Version 2.0.
HA is available for search operations out of the box; HA indexing requires a Kafka source.
Project at a glance
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