Quickwit
Quickwit is a cloud-native search engine designed for observability workloads, offering an open-source alternative to Datadog, Elasticsearch, and Splunk with sub-second search performance on cloud storage.
About Quickwit
Quickwit is a high-performance, cloud-native search engine specifically built for observability use cases including log management, distributed tracing, and metrics (coming soon). It provides full-text search and aggregation capabilities with an Elasticsearch-compatible API, allowing seamless integration with existing tools and workflows. The engine features a decoupled compute and storage architecture with stateless indexers and searchers, enabling rapid scaling and cost-effective operations on cloud storage platforms like Amazon S3, Azure Blob Storage, and Google Cloud Storage. Quickwit supports both schemaless and strict schema indexing, making it flexible for various data structures while maintaining enterprise-grade features like multi-tenancy, retention policies, and GDPR compliance through delete tasks.
Key Features
- Sub-second search performance on cloud storage (S3, Azure Blob, GCS)
- Elasticsearch-compatible API for seamless integration with existing clients
- Native support for OpenTelemetry logs and traces, plus Jaeger compatibility
- Decoupled compute and storage architecture with stateless components
- Built-in Grafana data source for observability dashboards
- Enterprise multi-tenancy with index partitioning and isolation
- Native integration with streaming platforms (Kafka, Kinesis, Pulsar)
- Flexible schemaless and strict schema indexing options
- Kubernetes-ready with official Helm charts
- GDPR-compliant delete tasks and configurable retention policies