Open-source alternatives to Splunk

Compare community-driven replacements for Splunk in log management workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.

Splunk logo

Splunk

Splunk collects, indexes, and analyzes machine-generated data for security, IT, and business analytics. It offers dashboards, alerts, and ML-driven insights for real-time operational intelligence.Read more
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Key stats

  • 12Alternatives
  • 5Support self-hosting

    Run on infrastructure you control

  • 11Active development

    Recent commits in the last 6 months

  • 6Permissive licenses

    MIT, Apache, and similar licenses

Counts reflect projects currently indexed as alternatives to Splunk.

Start with these picks

These projects match the most common migration paths for teams replacing Splunk.

Grafana logo
Grafana
Privacy-first alternative

Why teams pick it

Flexible deployment options with self-hosted and cloud variants

All open-source alternatives

OpenObserve logo

OpenObserve

Petabyte‑scale observability platform, 10x easier, 140x cheaper

Active developmentFast to deployAI-powered workflowsTypeScript

Why teams choose it

  • Logs, metrics, traces & RUM with OpenTelemetry compatibility
  • SQL and PromQL query engine with dynamic schema
  • Single binary or HA deployment supporting local, S3, MinIO, GCS, Azure storage

Watch for

Enterprise‑only features like SSO and advanced RBAC require a paid plan

Migration highlight

Kubernetes log aggregation

Reduce storage cost up to 140× while retaining fast query performance

SigLens logo

SigLens

Unified observability engine delivering 100x Splunk efficiency

Active developmentFast to deployIntegration-friendlyGo

Why teams choose it

  • Supports OpenTelemetry, Elastic, Splunk HEC, and Loki ingestion formats
  • Query with Splunk SPL or standard SQL
  • Single binary with zero external dependencies

Watch for

AGPL-3.0 license may limit commercial embedding

Migration highlight

Log aggregation for microservice fleet

Collects logs from 10,000 services, queries them instantly with SPL, cutting storage costs by 90%.

logkit logo

logkit

Unified log and metric collector with web console

Permissive licenseFast to deployAI-powered workflowsGo

Why teams choose it

  • Supports 15+ data sources including files, databases, Kafka, Redis, SNMP
  • Web console for real‑time monitoring and runner configuration
  • Cross‑platform binaries, Docker image, and Kubernetes deployment

Watch for

Primary output target is Pandora; other destinations need custom plugins

Migration highlight

Centralized web server logs

Collect nginx and Apache logs from multiple hosts, normalize them, and ship to Pandora for long‑term analysis.

Apache HertzBeat logo

Apache HertzBeat

Real-time agentless observability with custom monitoring and alerting

Self-host friendlyActive developmentPermissive licenseJava

Why teams choose it

  • Agentless monitoring with zero-installation overhead across 100+ integrations
  • YAML-based template system for custom monitoring types without coding
  • Prometheus-compatible with native ecosystem support and metric collection

Watch for

Requires Java 17 runtime, which may necessitate infrastructure updates

Migration highlight

Multi-Cloud Infrastructure Monitoring

Monitor Kubernetes clusters, databases, and middleware across AWS, Azure, and on-premises without deploying agents, using collector clusters for isolated network segments.

Grafana logo

Grafana

Open-source platform for monitoring, visualization, and observability

Self-host friendlyActive developmentPrivacy-firstTypeScript

Why teams choose it

  • Mix multiple data sources in a single dashboard with per-query source specification
  • Dynamic dashboards with reusable template variables and dropdown filters
  • Seamless metrics-to-logs exploration with preserved label filters and live streaming

Watch for

AGPL-3.0 license may require legal review for commercial embedding

Migration highlight

Multi-Cloud Infrastructure Monitoring

Correlate metrics from AWS CloudWatch, Azure Monitor, and on-premise Prometheus in unified dashboards for holistic infrastructure visibility.

Netdata logo

Netdata

Instant, per‑second visibility into every infrastructure component.

Active developmentFast to deployIntegration-friendlyC

Why teams choose it

  • Per‑second data collection with instant visualizations
  • Zero‑configuration auto‑discovery of services and containers
  • Edge‑based ML models for unsupervised anomaly detection

Watch for

High‑frequency data can increase storage requirements if long‑term retention is needed

Migration highlight

Production outage investigation

Engineers pinpoint the exact second a resource spike occurred, reducing mean time to resolution.

Quickwit logo

Quickwit

Fast, cloud-native search engine for logs and traces

Active developmentPermissive licenseIntegration-friendlyRust

Why teams choose it

  • Sub‑second search on cloud storage (S3, Azure, GCS)
  • Elasticsearch‑compatible API for seamless migration
  • Jaeger and OpenTelemetry native ingestion

Watch for

Metrics support is still on the roadmap

Migration highlight

Centralized log analysis for microservices

Ingest logs from Kubernetes via Fluent Bit, query across all services in sub‑second time, and reduce storage costs.

Coroot logo

Coroot

eBPF-powered observability platform with automated root cause analysis

Active developmentPermissive licenseFast to deployGo

Why teams choose it

  • Zero-instrumentation telemetry collection via eBPF with automatic service discovery
  • AI-powered root cause analysis with 80+ predefined application inspections
  • Integrated deployment tracking and cost monitoring for Kubernetes environments

Watch for

eBPF-based instrumentation requires Linux kernel 4.14+ and specific permissions

Migration highlight

Troubleshooting Microservice Latency Spikes

Engineers click on anomalous requests to view distributed traces, identify slow dependencies, and profile CPU usage down to specific code lines—all from a single interface.

SigNoz logo

SigNoz

Unified observability: logs, metrics, and traces in one UI

Self-host friendlyActive developmentPrivacy-firstTypeScript

Why teams choose it

  • Unified UI for logs, metrics, and traces with native correlation
  • OpenTelemetry‑based ingestion eliminates vendor lock‑in
  • ClickHouse backend delivers fast, scalable log analytics

Watch for

Self‑hosting requires Docker/Kubernetes expertise

Migration highlight

Root‑cause analysis of latency spikes

Correlate p99 latency metrics with trace flamegraphs and log entries to pinpoint bottlenecks.

Graylog logo

Graylog

Free and open log management platform for centralized logging

Self-host friendlyActive developmentPrivacy-firstJava

Why teams choose it

  • Multi-protocol log ingestion via GELF, Syslog, AMQP, and Kafka
  • Real-time search and filtering across centralized log streams
  • Security-focused features suitable for SIEM use cases

Watch for

Requires Java runtime and infrastructure setup

Migration highlight

Microservices Troubleshooting

Aggregate logs from distributed services into a single searchable interface, reducing mean time to resolution for production incidents.

HyperDX logo

HyperDX

ClickHouse-native observability platform unifying logs, traces, and replays

Self-host friendlyActive developmentPermissive licenseTypeScript

Why teams choose it

  • Unified search across logs, traces, metrics, and session replays in one interface
  • Schema-agnostic design works on top of existing ClickHouse clusters
  • Intuitive full-text and property search syntax with optional SQL queries

Watch for

Requires ClickHouse expertise for production tuning and optimization

Migration highlight

Correlating Frontend Errors with Backend Traces

Engineers replay user sessions to see JavaScript errors, then jump directly to related API traces and logs to identify the root cause in minutes instead of hours.

Logfire logo

Logfire

Simple Python‑centric observability platform for faster development

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Intuitive dashboard delivering powerful observability at a glance
  • Deep Python‑specific telemetry, including object inspection and event‑loop profiling
  • SQL‑based data exploration compatible with existing BI tools

Watch for

Dashboard UI is closed source; self‑hosting requires an enterprise license

Migration highlight

Debugging FastAPI request handling

View request payloads, validation errors, and database query timings in a unified dashboard.

Choosing a log management alternative

Teams replacing Splunk in log management workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.

  • 5 projects let you self-host and keep customer data on infrastructure you control.
  • 11 options are actively maintained with recent commits.

Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Splunk.