Directory Observability & MonitoringLog Management & AnalyticsQuickwit

Quickwit

About Quickwit

Quickwit provides a search engine designed to run on cloud storage. It is suited for searching logs and traces. It is built with a decoupled compute and storage architecture. The software is delivered as open and free community-based software.

Products

Tantivy: A search engine library that powers Quickwit.

Used for

Searching and troubleshooting errors directly on object storage
Indexing data without a predefined schema
Performing targeted deletions for GDPR purposes
Collecting application traces
Running search combined with OLAP workloads

Who it is for

Devops engineers
Data engineers

From Quickwit's own website, read 2026-10-24. How we build listings.

How to evaluate Log Management & Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Quickwit. It comes from our Log Management & Analysis buyer guide.

25%

Cost & Tiering Model at Volume

Unit of pricing (per-GB ingest, compute/SVC, credits, host, consumption) and how the bill behaves as volume grows; hot/warm/cold/frozen or archive tiers, index-free or low-cost retention tiers, rehydration cost and latency, and ingest controls or sampling to cap spend

20%

Search, Query & Analytics Power

Full-text vs. label-only vs. schema-on-read; query language depth (SPL, ES|QL/KQL, LogQL, DQL, SQL) and learning curve; performance on cold and high-cardinality data; aggregations, pattern detection, and live-tail for real-time troubleshooting

20%

Pipeline, Ingestion & OpenTelemetry

Agent footprint and collector strategy; native OpenTelemetry/OTLP ingest; parsing, enrichment, masking, routing, and reduction before storage; ability to fan data out to multiple destinations and to swap backends without re-instrumenting sources

15%

Security, Compliance & Retention

RBAC/SSO, field-level masking of sensitive data, immutable/WORM audit retention, and tamper-evident logging; SOC 2 / ISO 27001 / FedRAMP coverage and data residency; SIEM or threat-detection content if logs feed security

10%

Observability Correlation & Architecture

Whether logs sit standalone, inside an observability suite (correlated with metrics and traces), or inside the SIEM; trace-to-log pivots, unified context, and how cleanly it slots beside tooling you already run

10%

Operations, Scale & AI Assist

Self-managed vs. SaaS operational burden, multi-tenant and multi-cluster scale, ingest spikes and back-pressure handling; API/IaC coverage; and AI-assisted features such as anomaly detection, log clustering/patterns, and natural-language query

Other Log Management & Analytics Vendors

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Alibaba Cloud Log Service

Axiom

Baselime (Cloudflare)

Beats

Coralogix

DataSet

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