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Search more with less - AI-driven Data Analytics and Communication Tool

Search more with less

Search more with less

Sub-second search & analytics engine on cloud storage

Cost

Free

Rating

People love it

Time to value

Moderate Setup (1-3 hours)

You can use Quickwit to search and analyze large volumes of log data and traces stored directly on cloud storage like Amazon S3. It provides sub-second search performance on unlimited data volumes without requiring expensive local storage. The tool handles OpenTelemetry data natively and offers schemaless indexing. You can deploy it as stateless searchers and indexers with REST API access, making it cost-efficient for log management and troubleshooting applications at scale.

What Search more with less does

Index log files directly from cloud storage bucketsQuery trace data using OpenTelemetry standard formatsSet up retention policies for automatic log lifecycle managementConfigure multi-tenant search across different application teamsDeploy stateless search nodes that scale automaticallyCreate custom dashboards for log analysis and monitoringIntegrate with existing observability tools and workflowsExport search results for further analysis and reportingSearch directly on cloud storage without local copiesSub-second search latency on unlimited data volumesWritten in Rust for high performance and no garbage collectionSchemaless indexing with automatic field detectionNative OpenTelemetry and Jaeger trace supportDecoupled compute and storage architectureMulti-tenancy with optimized indexing across indexesGDPR-compliant targeted data deletion capabilities

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Quickwit, search engine, cloud storage, logs, traces, OpenTelemetry, Jaeger, object storage, S3, Rust, tantivy, indexing, analytics, log management, data search