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ETLFunnel Community Edition v1.1.0

ETLFunnel Community Edition v1.1.0

Data pipelines as code — self-hosted, zero black boxes

0upvotes
Launched August 25, 2026

About ETLFunnel Community Edition v1.1.0

ETLFunnel Community Edition v1.1.0 is a powerful, code-first ETL platform designed for data engineers and developers who prefer building data pipelines through code rather than visual interfaces. Built in Go, it allows users to write, deploy, and manage data workflows with full control over their infrastructure, whether on local machines or on-premises servers via Docker. Its self-hosted nature ensures no vendor lock-in, providing transparency and security for sensitive data projects. The latest version introduces an in-app dashboard for monitoring run health and throughput, along with expanded connector support including Avro and Parquet formats, and webhook alerts for Slack and Teams, enhancing observability and collaboration. ETLFunnel’s focus on self-hosting, combined with its orchestration and auto-scaling features, makes it ideal for organizations seeking a customizable, scalable, and transparent data pipeline solution that adheres to best practices in software engineering and data management.

Screenshots

ETLFunnel Community Edition v1.1.0 screenshot 1
ETLFunnel Community Edition v1.1.0 screenshot 2
ETLFunnel Community Edition v1.1.0 screenshot 3

Pros

  • Self-hosted with full control over infrastructure and data
  • Code-first approach enables flexible, customizable pipelines
  • Built-in orchestration and auto-scaling for scalability
  • Enhanced observability with in-app dashboard and real-time monitoring
  • Supports a wide range of connectors including Avro and Parquet

Cons

  • Requires familiarity with programming and command-line tools
  • Lack of a visual interface may pose a learning curve for non-developers
  • Community edition may have limited enterprise features

Use Cases

1Building custom data pipelines for analytics and reporting
2Migrating from vendor lock-in to a self-managed ETL solution
3Processing large datasets with support for modern formats like Parquet
4Implementing real-time data monitoring and alerting systems
5Integrating diverse data sources through multiple connectors
6Developing scalable data workflows for machine learning projects

Pricing

Pricing not verified

Quick Info

Upvotes0
Comments1
Launched8/25/2026

Topics

Software EngineeringDeveloper ToolsData & Analytics

Makers

Vivek Burman

Vivek Burman

Alternatives

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