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Enterprise Layer Intelligence
Categories/APM & Observability/Search more with less
Search more with less

Search more with less

Index and search petabytes of log data directly on cloud object storage

Pricing model

Free

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Quickwit to index and search huge volumes of log data, traces, and text directly on cost-effective cloud object storage like Amazon S3. Built in Rust and powered by Tantivy, it separates compute from storage to reduce operational costs. You can query unstructured logs in sub-second times without maintaining expensive clusters. Quickwit natively connects with OpenTelemetry, Jaeger, Apache Kafka, and Amazon Kinesis, letting engineers ingest streaming data, retain logs over long periods, and investigate system issues without paying high infrastructure bills.

What Search more with less does

Index log streams from Apache Kafka or Amazon KinesisQuery logs stored in Amazon S3 or MinIOConfigure retention and lifecycle policies for log indexesSearch distributed traces with OpenTelemetry standardsExecute full-text searches using REST API endpointsDeploy stateless indexers and searchers on KubernetesDelete specific records to comply with GDPR data requestsDecoupled compute and storage architectureSub-second queries executed directly on object storageNative support for OpenTelemetry traces and logsBuilt with Rust and Tantivy for high indexing throughputStateless searchers and indexers for horizontal scalingSchemaless indexing for unstructured JSON dataData ingestion from Apache Kafka and Amazon Kinesis

Pricing breakdown

Pricing model: Free

Frequently asked

MinIOMinIOClickHouseClickHouseVectorVector

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Quickwit, Tantivy, log search, trace analysis, cloud storage search, S3 search engine, Rust search engine, distributed indexing, OpenTelemetry, Jaeger, sub-second search, full-text search, observability, decoupled storage compute, Kafka ingestion