1. OpenAlternative
  2. /Alternatives
  3. /Splunk

Best Open Source Splunk Alternatives

Discover the best open source alternatives to Splunk.

The best open source alternative to Splunk is Grafana. 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: Apache Superset, Redash, Logstash and HyperDX.

Splunk alternatives are mainly Observability Tools but may also be Monitoring Tools. Filter by these if you want a narrower list of alternatives or looking for a specific functionality of Splunk.

Favicon of Splunk website

Splunk

Enables organizations around the world to prevent major issues, absorb shocks and accelerate digital transformation.

Visit Website

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.

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.

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.

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 platform combining session replays, logs, traces, metrics, and errors for comprehensive production issue resolution

Screenshot of HyperDX website

HyperDX is an innovative open-source observability platform designed to help engineering teams resolve production issues quickly and efficiently. Here's what makes HyperDX stand out:

  1. Comprehensive Observability: HyperDX unifies session replays, logs, traces, metrics, and errors in one platform, providing a holistic view of your system's performance.

  2. Cost-Effective Solution: With pricing at $0.40 per GB, $0 per user, and $0 per host, HyperDX offers a budget-friendly alternative to expensive enterprise solutions like Datadog.

  3. Powerful Performance: Powered by Clickhouse, HyperDX enables searching through terabytes of events in seconds, ensuring rapid issue identification and resolution.

  4. Intuitive Search: The platform features a simple full-text search syntax, making it easy to find relevant logs and spans without learning complex query languages.

  5. Automatic Event Clustering: HyperDX automatically aggregates log patterns, condensing billions of events into distinct clusters for easier analysis.

  6. Correlated Session Replays: Automatically link frontend session replays with backend logs and traces, providing context for user-reported issues.

  7. Visualization Tools: An intuitive chart builder allows teams to graph and share logs, metrics, and traces, facilitating detailed analysis and collaboration.

  8. Easy Integration: HyperDX offers automatic instrumentation for various languages and platforms, with just a few lines of code required for setup.

  9. Vendor-Agnostic: Built on OpenTelemetry, HyperDX allows teams to instrument once without fear of vendor lock-in.

  10. Additional Features: The platform includes alerting capabilities, Intercom integration, live log tailing, native JSON parsing, and an agent-free installation option.

HyperDX is backed by Y Combinator and trusted by high-velocity engineering teams. It's an excellent choice for organizations looking to streamline their observability stack while keeping costs under control.

back
Newsletter

Get updates on new tools, alternatives, and other cool stuff.