Quickwit
Quickwit handles high-performance search engine designed for big data as a self-hosted solution.
Overview
Cloud-native search engine for observability. An open-source alternative to Datadog, Elasticsearch, Loki, and Tempo. Sub-second search & analytics engine on cloud storage The project has 11K+ GitHub stars and is licensed under Apache-2.0.
Key Features
Source: GitHub README
- Full-text search and aggregation queries
- Elasticsearch-compatible API, use Quickwit with any Elasticsearch or OpenSearch client
- Jaeger-native
- OTEL-native for logs and traces
- Schemaless or strict schema indexing
- Schemaless analytics
- Sub-second search on cloud storage (Amazon S3, Azure Blob Storage, Google Cloud Storage, …)
- Decoupled compute and storage, stateless indexers & searchers
- Grafana data source
- Kubernetes ready - See our helm-chart
Normalized Features
Source: tool-features-normalized.json
charts, elasticsearch, full text search, helm, kubernetes, multi user, privacy focused, rest api, s3 storage.
Deploy
Features
Authentication & Access
- Multi-User Support
Integrations & APIs
- REST API
Search & Discovery
- Full-Text Search
Data & Storage
- S3 / Object Storage
Analytics & Reporting
- Charts & Graphs
Security & Privacy
- Privacy-Focused
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