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Open Source Splunk Alternatives

A curated collection of the 16 best open source alternatives to Splunk.

The best open source alternative to Splunk is Apache Superset. If that doesn't suit you, we've compiled a ranked list of other open source Splunk alternatives to help you find a suitable replacement. Other interesting open source alternatives to Splunk are: Grafana, ProjectDiscovery, SigNoz, and Redash.

Splunk alternatives are mainly Log Management Tools but may also be Infrastructure Monitoring Tools or Performance Monitoring (APM) Tools. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Splunk.

Piotr Kulpinski's profile

Written by Piotr Kulpinski

Open-source solution for fast, intuitive data exploration and visualization, supporting various databases and skill levels.

Screenshot of Apache Superset website

Apache Superset is a powerful, open-source data exploration and visualization platform designed for users of all skill levels. It offers a comprehensive suite of features that make it an ideal choice for modern data analysis and presentation:

  1. User-Friendly Interface: Superset provides both a no-code visualization builder and an advanced SQL IDE, catering to users with varying levels of technical expertise.

  2. Extensive Database Support: It integrates seamlessly with a wide range of SQL-based databases, including modern cloud-native solutions capable of handling petabyte-scale data.

  3. Lightweight and Scalable: Superset's architecture allows it to leverage existing data infrastructure without requiring additional ingestion layers, making it highly scalable and efficient.

  4. Rich Visualization Options: With over 40 pre-installed visualization types and a plug-in architecture for custom visualizations, Superset offers extensive options for data representation.

  5. Self-Serve Analytics: The platform includes features such as interactive dashboards, a chart builder, SQL Lab, and dataset management tools, enabling users to create and explore data insights independently.

  6. Advanced Features:

    • Data caching for faster load times
    • Jinja templating and dashboard filters for interactivity
    • CSS templates for brand customization
    • Semantic layer for SQL data transformations
    • Cross-filters and drill-down capabilities for deeper analysis
    • Virtual datasets for ad-hoc exploration
    • Feature flags for access to new functionalities
  7. Extensive Database Compatibility: Superset supports a vast array of databases, including PostgreSQL, BigQuery, Snowflake, MySQL, Amazon Redshift, Apache Druid, Databricks, and many more.

Apache Superset combines ease of use with powerful features, making it an excellent choice for organizations looking to democratize data analysis and visualization across their teams.

Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.

Grafana is a multi-platform open source analytics and interactive visualization web application that provides charts, graphs, and alerts for the web.

Screenshot of Grafana website

Grafana is a powerful and versatile open-source platform for data visualization and monitoring. It allows users to query, visualize, alert on, and understand metrics no matter where they are stored. Key features include:

  • Support for multiple data sources: Grafana can connect to various databases and time series data stores, including Prometheus, InfluxDB, Elasticsearch, and many more.

  • Customizable dashboards: Users can create rich, interactive dashboards with a wide range of visualization options, from simple line graphs to complex heatmaps.

  • Alerting system: Grafana includes a flexible alerting engine that can notify users when specific conditions are met in their data.

  • Plugin ecosystem: Extend Grafana's functionality with a wide range of community-contributed and official plugins.

  • User management and authentication: Grafana offers built-in user authentication and supports various external authentication providers.

  • Templating and variables: Create dynamic dashboards that adapt to different contexts and data sets.

Grafana is widely used in various industries for monitoring infrastructure, applications, and business metrics. It's known for its flexibility, ease of use, and ability to bring together data from multiple sources into a single, cohesive view.

Monitor infrastructure for exploitable vulnerabilities with real-time detection, automated workflows, and zero false positives.

Screenshot of ProjectDiscovery website

ProjectDiscovery delivers enterprise-grade vulnerability management with a focus on detecting only exploitable vulnerabilities to eliminate false positives. The platform features real-time infrastructure monitoring that provides instant visibility into your entire tech stack as teams deploy.

Key capabilities include:

  • Zero-noise vulnerability detection that identifies only actual exploitable vulnerabilities
  • Comprehensive asset discovery to map and contextualize your complete attack surface
  • Custom exploit detection through the open-source Nuclei framework
  • Automated workflows for instant organization-wide detection and triage
  • Multi-protocol support covering web, network, DNS, and cloud infrastructure

The platform is trusted by over 100,000 security professionals to transform noisy scan results into relevant, actionable alerts that enable 10x faster vulnerability triage and remediation.

Comprehensive monitoring and troubleshooting solution for microservices architectures, offering metrics, traces, and logs in a single pane.

Screenshot of SigNoz website

SigNoz is a powerful, open-source observability platform designed for modern, cloud-native applications. It provides a unified solution for monitoring, troubleshooting, and optimizing your microservices architecture.

Key benefits of SigNoz include:

  1. All-in-One Observability: Combine metrics, traces, and logs in a single platform, eliminating the need for multiple tools and reducing context-switching.

  2. Cost-Effective: As an open-source solution, SigNoz offers significant cost savings compared to proprietary alternatives, especially for high-volume data ingestion.

  3. Easy Setup: Get started quickly with a simple installation process and intuitive UI, making it accessible for teams of all sizes.

  4. Customizable Dashboards: Create tailored views of your system's performance with flexible, drag-and-drop dashboard builders.

  5. Distributed Tracing: Gain deep insights into request flows across your microservices, helping you identify bottlenecks and optimize performance.

  6. Anomaly Detection: Leverage built-in anomaly detection capabilities to proactively identify issues before they impact your users.

  7. Scalability: Designed to handle high-volume data ingestion, SigNoz scales effortlessly with your growing infrastructure.

  8. Open Standards: Built on OpenTelemetry, ensuring compatibility with a wide range of technologies and future-proofing your observability stack.

By choosing SigNoz, you're not just adopting a monitoring tool; you're embracing a comprehensive observability solution that grows with your needs and empowers your team to maintain high-performing, reliable applications.

Redash is an open-source data visualization and analytics platform that helps teams make sense of their data through SQL queries and interactive dashboards.

Screenshot of Redash website

Redash is a powerful, open-source data visualization and analytics platform designed to help teams connect, query, visualize, and share their data effectively. Here's what makes Redash stand out:

  1. Versatile Data Connectivity:

    • Supports a wide range of data sources, including SQL, NoSQL, Big Data, and APIs
    • Allows querying from multiple sources to answer complex questions
  2. Powerful Query Editor:

    • Intuitive SQL editor with schema browsing and click-to-insert functionality
    • Ability to create and reuse query snippets for efficiency
  3. Interactive Dashboards:

    • Drag-and-drop interface for creating customizable dashboards
    • Resize and arrange visualizations to suit your needs
    • Schedule automatic refreshes from data sources
  4. Collaboration and Sharing:

    • Share dashboards with team members or make them public
    • User management features for access control
  5. Visualizations and Alerts:

    • Create various types of visualizations to represent your data
    • Set up alerts to stay informed about important data changes
  6. Open-Source Advantage:

    • Customize and add features to suit your specific needs
    • No vendor lock-in
    • Active community for support and contributions
  7. API Access:

    • Integrate Redash with other tools and services using its API

Redash is trusted by data-driven companies to make sense of their information, enabling better decision-making and deeper understanding of their data. Whether you're a small startup or a large enterprise, Redash provides the tools you need to turn your data into actionable insights.

Monitor logs, metrics, and traces with an open-source observability platform. Achieve petabyte scale with 140x lower storage costs and high performance.

Screenshot of OpenObserve website

OpenObserve is a comprehensive, open-source observability platform designed for logs, metrics, and traces. It offers a modern, scalable architecture built for high performance and significant cost savings. The platform's primary advantage is its efficiency, providing up to 140x lower storage costs when compared to alternatives like Elasticsearch. This is achieved through high data compression and a columnar storage format.

Key features include:

  • High Performance: Built in Rust and utilizing the DataFusion query engine for rapid data analysis, even at petabyte scale.
  • Scalability: A stateless architecture allows for easy horizontal scaling to handle enterprise-level workloads.
  • Cost-Effectiveness: Drastically reduces telemetry costs with high compression and the ability to use your own storage buckets like S3, GCS, and Azure Blob.
  • Open Standards: Fully compatible with OpenTelemetry, ensuring seamless integration with existing tools and workflows.

Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.

Logstash is a free and open server-side data processing pipeline that ingests data from multiple sources, transforms it, and sends it to your desired destination.

Screenshot of Logstash website

Logstash is a powerful data processing pipeline that allows you to collect, transform, and ship data from various sources to multiple destinations. Here are some key features and benefits:

  1. Versatile Input Support:

    • Ingest data from a wide range of sources, including logs, metrics, web applications, data stores, and AWS services.
    • Supports continuous, streaming data ingestion.
  2. Powerful Data Transformation:

    • Parse and structure unstructured data using grok patterns.
    • Derive additional information, such as geolocations from IP addresses.
    • Anonymize or exclude sensitive data for compliance and security.
    • Transform data into a common format for easier analysis.
  3. Flexible Output Options:

    • Send processed data to various destinations, with Elasticsearch being a primary output.
    • Route data to multiple outputs simultaneously for different use cases.
  4. Extensibility:

    • Pluggable framework with over 200 plugins available.
    • Easy-to-build custom plugins for specific needs.
  5. Reliability and Security:

    • Guarantees at-least-once delivery with persistent queues.
    • Dead letter queues for handling processing failures.
    • Ability to secure ingest pipelines.
  6. Monitoring and Management:

    • Built-in monitoring features for observing performance and availability.
    • Pipeline Viewer for understanding and optimizing data flows.
    • Centralized management through a user-friendly UI.
  7. Elastic Stack Integration:

    • Seamless integration with other Elastic Stack components like Elasticsearch and Kibana.
    • Pre-built modules for quick setup with popular data sources.

Logstash is an essential tool for organizations looking to centralize and process their data efficiently, making it ready for analysis and visualization in platforms like Elasticsearch and Kibana.

Open source observability platform unifying session replays, logs, traces, metrics and errors. Fast search, automatic clustering, $0.40/GB pricing.

Screenshot of HyperDX website

Open source observability platform that unifies session replays, logs, traces, metrics and errors into a single view - all without the expensive Datadog price tag. Recently acquired by ClickHouse to accelerate open source observability innovation.

Key capabilities include:

  • End-to-end correlation - Trace requests from user browsers to backend servers and async workers automatically
  • Blazing fast search - Query terabytes of events in seconds, powered by ClickHouse
  • Automatic clustering - Condense billions of events into distinctive patterns without manual configuration
  • Session replay integration - Automatically link user sessions with backend logs and traces
  • Intuitive visualization - Build charts and graphs with simple full-text search, no complex syntax required

Developer-friendly features:

  • OpenTelemetry-powered instrumentation prevents vendor lock-in
  • Agent-free installation option eliminates infrastructure overhead
  • Native JSON parsing for structured logs with zero configuration
  • Real-time live tail for immediate log stream monitoring
  • Intercom integration for jumping directly from support tickets to user sessions

Transparent pricing at $0.40 per GB with no per-user or per-host fees makes enterprise-grade observability accessible to teams of all sizes. Trusted by high-velocity engineering teams for resolving production issues fast.

Open-source observability platform for LLMs using OpenTelemetry. Monitor performance, track costs, and debug AI applications with just 2 lines of code.

Screenshot of OpenLLMetry website

Monitor and optimize your LLM applications with comprehensive observability built on OpenTelemetry standards. This open-source platform provides deep insights into your AI systems with minimal setup complexity.

Key capabilities include:

  • Performance monitoring - Track response times, throughput, and system health across all LLM interactions
  • Cost tracking - Monitor API usage and expenses across different LLM providers in real-time
  • Error detection - Identify and debug issues in your AI applications before they impact users
  • Request tracing - Follow complete request flows through your LLM pipeline for better debugging
  • Multi-provider support - Works seamlessly with various LLM providers and observability platforms

Quick integration requires just 2 lines of code to start collecting telemetry data. Built on OpenTelemetry standards, ensuring compatibility with existing monitoring infrastructure and avoiding vendor lock-in.

Perfect for developers building production LLM applications who need reliable monitoring without complex setup or proprietary dependencies.

Coroot simplifies system monitoring by providing metrics, logs, traces, and profiling with zero instrumentation, leveraging eBPF technology.

Screenshot of Coroot website

Coroot is an innovative open-source observability platform that revolutionizes how developers and operations teams monitor and troubleshoot their systems. Here's what makes Coroot stand out:

  1. Zero-instrumentation observability:

    • Utilizes eBPF technology to automatically gather metrics, logs, traces, and profiles without any code changes
    • Provides a comprehensive Service Map covering 100% of your system with no blind spots
    • Offers predefined inspections to audit each application without configuration
  2. Comprehensive monitoring features:

    • Application Health Summary for easy status overview of multiple services
    • Distributed tracing to explore outlier requests with a single click
    • Log pattern analysis with out-of-the-box event clustering
    • Continuous profiling to analyze CPU and memory usage down to specific code lines
    • AI-powered root cause analysis for quick anomaly explanations
  3. User-friendly interface:

    • Intuitive dashboards for visualizing system performance
    • One-click investigation of anomalies
    • Easy comparison of system behavior against baselines
  4. Built-in expertise:

    • Automatically identifies over 80% of issues
    • Sends concise alerts with relevant inspection results when SLOs are not met
    • Customizable inspections for specific applications or entire projects
  5. Deployment and cost monitoring:

    • Tracks every application rollout in Kubernetes clusters
    • Compares each release with the previous one to detect performance degradations
    • Provides cloud cost insights down to individual applications
  6. Open-source and cloud options:

    • Available as a free, open-source Community Edition
    • Coroot Cloud offering for those who prefer a managed solution

Coroot simplifies the complex task of system observability, making it accessible to teams of all sizes. By leveraging cutting-edge technologies and providing a user-friendly interface, Coroot enables faster debugging, better development practices, and improved system reliability.

Open-source platform for logging, monitoring, and debugging LLM applications. Route, debug, and analyze AI apps with comprehensive observability tools.

Screenshot of Helicone website

Helicone is the open-source platform that helps developers build reliable AI applications through comprehensive observability. Trusted by the world's fastest-growing AI companies, it provides essential tools for routing, debugging, and analyzing LLM applications.

Key Features:

  • Universal Integration: Access 100+ models with a single integration (beta)
  • Complete Observability: Log, monitor, and debug your AI applications
  • Advanced Analytics: Track requests, segments, sessions, and user properties
  • Developer Tools: Prompts playground, experiments, evaluators, and datasets
  • Enterprise Ready: Scalable solution for growing AI companies

The platform offers a comprehensive dashboard for monitoring AI application performance, with detailed request tracking and user analytics. Developers can experiment with prompts, run evaluations, and manage datasets all within one unified interface.

Getting Started: No credit card required with a 7-day free trial. The platform is designed to help developers quickly identify issues, optimize performance, and ensure their AI applications run reliably at scale.

Looking for open source alternatives to other popular services? Check out other posts in the alternatives series and openalternative.co, a directory of open source software with filters for tags and alternatives for easy browsing and discovery.

Logfire offers intuitive observability tools for Python applications, combining logs, profiling, and telemetry in one platform.

Screenshot of Logfire website

Logfire brings powerful observability to Python applications with remarkable simplicity. Built by the team behind Pydantic, it offers developers an intuitive way to gain deep insights into their code.

Key features:

  • Seamless integration: Easy setup with popular Python libraries and frameworks
  • Comprehensive visibility: Monitor logs, traces, and performance metrics in one place
  • Structured data: Query-ready logs for easy analysis and visualization
  • Manual tracing: Create custom logs and traces with a modern, user-friendly interface
  • OpenTelemetry support: Leverage the power of OTel with simplified implementation

Logfire transforms complex observability tasks into actionable insights. Whether you're building AI tools or cloud-based applications, it provides a clear window into your code's behavior. With features like performance profiling and full execution tracing, Logfire helps developers quickly identify and resolve issues.

The platform's intuitive design makes it accessible for teams of all sizes, eliminating the need for dedicated observability experts. By combining ease of use with powerful analytics capabilities, Logfire empowers developers to make data-driven decisions and continuously improve their applications.

Uptrace is an OpenTelemetry-based platform that integrates traces, metrics, and logs to help monitor and optimize complex distributed systems.

Screenshot of Uptrace website

Uptrace is an open-source observability platform built on OpenTelemetry, designed to help developers and operations teams monitor, understand, and optimize complex distributed systems. It offers a comprehensive solution for application performance monitoring (APM) with integrated tracing, metrics, and logging capabilities.

Key features and benefits:

  1. All-in-one solution:

    • Integrates traces, metrics, and logs in a single platform
    • Eliminates the need for multiple monitoring tools
    • Supports data from OpenTelemetry, Prometheus, Vector, FluentBit, and CloudWatch
  2. Flexible deployment options:

    • Self-hosted: Free to use without limitations
    • Managed cloud service: For those who prefer a hands-off approach
    • On-premise installation available upon request
  3. Cost-effective and predictable pricing:

    • Pay only for ingested gigabytes and active timeseries
    • Set a budget to avoid unexpected costs
    • First month free with 1TB storage and 50,000 timeseries (no credit card required)
  4. OpenTelemetry integration:

    • Quick setup with minimal code changes
    • Supports multiple programming languages (Go, Python, Ruby, Node.js, .NET, Java, Erlang, Elixir, Rust, PHP)
    • Vendor-agnostic instrumentation for easy switching between providers
  5. Comprehensive monitoring dashboard:

    • Service graph showing relationships between components
    • RED metrics (Rate, Errors, Duration)
    • Latency percentiles (p50/p90/p99/max)
    • Most frequent logs and errors
    • Slowest requests identification
  6. Scalability:

    • Designed to work at any scale, from small applications to large distributed systems
  7. Incident response:

    • Helps teams identify and resolve issues quickly, often before customers notice

By offering a unified platform for observability, Uptrace simplifies the monitoring process and provides valuable insights into application performance, helping teams optimize their systems and respond to incidents more effectively.

Tracecat is a scalable, self-hostable platform for automating security workflows and playbooks without limits.

Screenshot of Tracecat website

Tracecat is an open source alternative to proprietary security orchestration, automation and response (SOAR) platforms like Tines and Splunk SOAR. It empowers security engineers to automate their workflows and playbooks without restrictions.

Key features:

  • Unlimited workflows: Build, reuse and scale security playbooks without limits using the visual drag-and-drop builder or YAML configuration.
  • Low-code integrations: Use pre-built integrations or easily create custom ones to connect your security tools.
  • Self-hostable: Deploy Tracecat in your own environment using Docker, Kubernetes or AWS Fargate for maximum control and data privacy.
  • Open source: Fully open source and built on Temporal, the same durable execution engine used by major tech companies.
  • Enterprise-ready: Offers mission-critical alerting and 99.99% uptime SLAs for organizations that need guaranteed reliability.

Tracecat allows security teams to automate alert triage, threat enrichment, incident response and more. The platform scales to handle high volumes of workflows in parallel across isolated tenants. With both no-code and code-based options, it provides flexibility for teams of all technical levels.

By offering an open source alternative to proprietary SOAR tools, Tracecat aims to make powerful security automation accessible to more organizations. The self-hosted deployment model ensures sensitive security data and workflows remain under your control.

Monitor your entire IT infrastructure with 2,000+ plugins, automated discovery, and scalable architecture. Open source and enterprise solutions available.

Screenshot of Checkmk website

Comprehensive IT monitoring that scales from small teams to enterprise environments with millions of services. Checkmk automatically discovers and monitors your entire infrastructure - from cloud providers to data centers, servers, networks, containers, and applications.

Key advantages include:

  • 2,000+ vendor-maintained plugins for out-of-the-box monitoring of virtually any system
  • Automated discovery and configuration via REST API reduces manual setup time
  • High-performance core designed to handle massive scale while maintaining a small footprint
  • Granular alerting system that notifies only relevant teams and integrates with ServiceNow, Jira, Slack, and more

Multiple deployment options cater to different needs:

  • Raw Edition: Free open-source version for mid-sized infrastructures
  • Enterprise Edition: Advanced automation and visualization features
  • Cloud Edition: SaaS solution optimized for hybrid cloud environments
  • MSP Edition: Multi-tenant capabilities for service providers

Advanced features include dynamic dashboards, business intelligence mapping, custom self-healing actions, and comprehensive SLA reporting. The platform combines infrastructure monitoring with log analysis, synthetic testing capabilities, and historical performance forecasting to provide complete visibility into your IT operations.

Unified platform for logs, metrics, traces and profiles with native compatibility for popular tools like OpenTelemetry, Prometheus, and Loki. No data silos, no usage limits.

Screenshot of Gigapipe website

A powerful observability platform that brings together logs, metrics, traces and profiles in one unified solution. Built on high-performance OLAP engines ClickHouse and DuckDB with NVMe storage, Gigapipe delivers exceptional speed and reliability.

Key advantages:

  • Drop-in compatibility with OpenTelemetry, Loki, Prometheus, Tempo, Pyroscope and other popular tools
  • Flat-cost pricing model with no usage limits or surprise bills
  • True open source solution under AGPLv3 license
  • Single platform approach eliminates data silos and reduces complexity
  • Native support for thousands of compatible agents
  • Query API that emulates familiar tools like Loki and Prometheus

Perfect for engineering teams and DevOps professionals who need comprehensive observability without the complexity of managing multiple tools or worrying about data volume costs. Gigapipe's polyglot approach ensures you can work with your data your way, while the unified platform enables quick correlation between different data types for faster troubleshooting and deeper insights.

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