
Cloud-native search engine for logs and traces
Quickwit is an open-source, cloud-native search engine designed for observability data including logs and traces. Built in Rust, it executes complex search and analytics queries directly on object storage with sub-second latency, offering up to 10x cost savings compared to Elasticsearch.
Executes complex search and analytics queries directly on cloud object storage (S3, MinIO, Ceph) with sub-second latency
Index JSON documents with an arbitrary number of fields without defining a schema upfront
Ingest and index data in real-time with support for distributed queues like Apache Kafka and Amazon Kinesis
Scale horizontally to handle petabytes of data without significant architectural changes
Built-in multi-tenancy support for isolating data across different teams or customers
Configure automatic data retention policies and perform GDPR-compliant data deletions
Native support for OpenTelemetry protocols for ingesting logs and traces
Store and search petabytes of log data on cheap object storage while maintaining sub-second query performance
Ingest and analyze OpenTelemetry traces for debugging microservices architectures
Replace expensive Elasticsearch or Datadog deployments with a solution that can reduce costs by up to 90%
Index and search security logs and audit trails with retention policies and GDPR-compliant deletion capabilities
Drop-in replacement with Elasticsearch-compatible query API for easy migration
Deploy on Kubernetes with Helm charts or on bare metal with stateless indexer and searcher nodes
Stateless architecture with decoupled compute and storage ensures high availability and fault tolerance

Open-source, AI-first business automation