Directory Observability & MonitoringQuickwit

Quickwit

Funded

Sub-second search and analytics engine optimized for cloud storage

About Quickwit

Quickwit is a high-performance search engine designed for enterprises requiring scalable, cost-efficient log management and distributed tracing solutions. Built in Rust and powered by the Tantivy search library, Quickwit enables sub-second search directly on unlimited cloud object storage, minimizing infrastructure costs and maximizing throughput. Its architecture decouples compute and storage, allowing for flexible deployment on-premise, in the cloud, or hybrid environments, with stateless searchers and indexers accessible via REST APIs.

Targeted at DevOps, data engineers, and IT teams managing large volumes of logs and traces, Quickwit supports schemaless indexing, multi-tenancy, and GDPR-compliant data lifecycle policies. It integrates natively with OpenTelemetry and Jaeger, and supports popular cloud storage and distributed queue systems such as Amazon S3, MinIO, Ceph, Apache Kafka, and Amazon Kinesis. Quickwit’s design prioritizes ease of deployment, high availability, and horizontal scalability, making it suitable for enterprises seeking to optimize observability data search and analytics with reduced operational complexity and cost.

Key Capabilities

✓Sub-second search on unlimited cloud storage
✓Schemaless indexing with multi-tenancy support
✓Native OpenTelemetry and Jaeger integration
✓Decoupled compute and storage architecture
✓Retention and lifecycle policies for GDPR compliance

Integrations

Amazon S3Apache KafkaOpenTelemetry

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .