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Developer ToolsAlternative to ElasticsearchAlternative to SplunkAlternative to Grafana Loki

VictoriaLogs

High-performance, resource-efficient log management and indexing engine for cloud-native infrastructure.

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LicenseApache-2.0
GitHub stars1.8k
Last commit5 days ago
Tags5 topics
Log Management DatabaseFull Text Log SearchGrafana Log SourceDevops InfrastructureLow Ram Log Indexer
Overview

Why consider VictoriaLogs?

VictoriaLogs is an open-source log management database written in Go. It consumes up to 30x less RAM and disk space than Elasticsearch, providing instant full-text log search, regex filtering, and seamless Grafana dashboard integration.

Guided learning

Learn VictoriaLogs by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of VictoriaLogs

VictoriaLogs ingests terabytes of application logs daily while minimizing server memory overhead.

Quickstart

bash
1docker run -p 9428:9428 victoriametrics/victoria-logs:latest

Stream JSON or raw syslog entries to http://localhost:9428/insert/jsonline and query with LogsQL.

VictoriaLogs is licensed under the Apache License 2.0.

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VictoriaLogs FAQs

VictoriaLogs is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

VictoriaLogs is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

VictoriaLogs is listed as an alternative to Elasticsearch. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.