Big Data 4 min read

Quickwit Docs Go Live: Rust‑Built Distributed Search Engine for Sub‑Second Queries on Object Storage

Quickwit is a Rust‑based distributed search engine that enables sub‑second queries directly on cloud object storage, and its documentation details the architecture, core concepts, installation, data ingestion, log management, tracing, deployment options, configuration, and operational best practices.

Hacker Afternoon Tea
Hacker Afternoon Tea
Hacker Afternoon Tea
Quickwit Docs Go Live: Rust‑Built Distributed Search Engine for Sub‑Second Queries on Object Storage

Introduction

What is Quickwit? A Rust‑written distributed search engine designed for sub‑second query latency on object storage.

Architecture separates compute from storage to achieve efficient resource utilization and scalability to petabyte‑scale data.

Advanced concepts

Index

Query

Delete

Getting Started

Quick start guide

Installation procedures

Tutorials

Using Grafana for log and trace visualization

Integrating Jaeger for distributed tracing

Indexing a local log dataset

Running searches with AWS Lambda

Performing distributed search on AWS S3

Quickwit query language overview

Configuration

Node configuration

Storage configuration

Index configuration

Metastore configuration

Source configuration

Port configuration

Data Ingestion

Ingestion API

Local file ingestion

Kafka integration

Pulsar integration

Kinesis integration

S3 with SQS notifications

Log Management

Managing logs with Quickwit

Sending logs

From OTEL collector

From OTEL collector for Kubernetes logs

From Vector

From Fluentbit

From Docker containers

Supported agents

OTEL service integration

Distributed Tracing

Using Quickwit for distributed tracing

Integrating Quickwit with Jaeger

Sending trace data via OTEL collector

Deployment

Deployment modes

Kubernetes deployment

Helm installation

Google GKE installation

Glasskube installation

Cluster sizing considerations

Operating Quickwit

Data directory management

Monitoring with Grafana

AWS cost‑optimization tips

Guides

Strict mode vs schemaless mode

Storage settings (e.g., AWS S3)

AWS cluster configuration

Implementing full‑text search on ClickHouse

References

REST API documentation

Elasticsearch‑compatible API

Aggregation API

Query language reference

Command‑line options

Metrics exposition

Telemetry

Details on telemetry collection and exposure are provided to help monitor Quickwit performance and health.

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cloud-nativeRustkubernetesdistributed searchlog analyticsobject storageQuickwit
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