Directory Observability & MonitoringLog Management & AnalyticsGrafana Loki

Grafana Loki

About Grafana Loki

Grafana Loki is a log aggregation system designed to store and query logs from applications and infrastructure. It does not index the contents of logs, but rather a set of labels for each log stream. The Loki project was started at Grafana Labs in 2018. Loki is released under the AGPLv3 license.

Products

Cloud Logs: A fully managed, lightweight and cost-effective log aggregation service based on Grafana Loki.
Enterprise Logs: A self-managed logging solution that runs securely at scale with expert support from Grafana Labs.

Used for

Building metrics and generating alerts from log lines.
Tailing logs in realtime as they come into the system.
Exploring logs using LogQL queries.
Setting up alerting rules for Loki to evaluate on incoming log data.
Moving between metrics, logs and traces within a single UI via native integration with Prometheus, Grafana and K8s.

Who it is for

Users who prefer to set up, administer, and maintain their own installation.
Individuals, teams, and large enterprises using the managed Cloud Logs options.

From Grafana Loki's own website, read 2026-10-23. 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 Grafana Loki. 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

View all

Alibaba Cloud Log Service

Axiom

Baselime (Cloudflare)

Beats

Coralogix

DataSet

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .