Airbyte Cloud

Best Self Hosted Alternatives to Airbyte Cloud

A curated collection of the 2 best self hosted alternatives to Airbyte Cloud.

Managed ELT platform for building and running data pipelines. Airbyte Cloud extracts data from databases, SaaS apps, and APIs, loads it into data warehouses or data lakes, and provides scheduling, monitoring, connector management, and pipeline orchestration.

Alternatives List

#1
Huginn

Huginn

Huginn is an open-source automation platform that runs agents to monitor web data, process events, and trigger actions — self-hosted and extensible.

Huginn screenshot

Huginn is an open-source system for building agents that monitor the web, collect and process events, and take automated actions on your behalf. Agents produce and consume events which propagate through directed graphs so you can chain monitoring, filtering, and actions into complex workflows. (github.com)

Key Features

  • Agent-based architecture: many built-in agent types (HTTP/RSS/IMAP/Twitter/Slack/WebHook/etc.) that create, filter, and act on events. (github.com)
  • Event graph and scheduling: chain agents into directed graphs and schedule periodic or real-time checks. (github.com)
  • Extensibility: write additional Agents as Ruby gems (huginn_agent) and add them via environment configuration. (github.com)
  • Multiple deployment options: official container images and multi-container/docker-compose examples for quick deployment. (hub.docker.com)
  • Data/back-end flexibility: supports MySQL or PostgreSQL for storage and can use Redis for background job processing when configured. (github.com)

Use Cases

  • News and web-monitoring: scrape feeds and sites, alert on changes, or send digest emails when conditions match. (github.com)
  • Social and API automation: track mentions, post updates, or transform incoming webhook data into downstream actions. (github.com)
  • Data collection and ETL-style workflows: aggregate multiple sources into a database or automated reports via chained agents. (github.com)

Limitations and Considerations

  • Operational complexity: Huginn is feature-rich but requires managing dependencies (Ruby, DB, optional Redis) and self-hosted infrastructure for production reliability. (github.com)
  • Configuration surface: many integrations and agent options mean an initial configuration and learning curve to assemble reliable event graphs. (github.com)

Huginn provides a powerful, code-friendly alternative to hosted workflow tools by keeping data and logic under the operator's control. It is widely used in the self-hosting community, distributed via official container images, and extended through agent gems for custom integrations. (hub.docker.com)

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#2
Kestra

Kestra

Declarative, API-first orchestration platform for scheduled and event-driven workflows with a plugin ecosystem, UI editor, CI/CD and Terraform integration.

Kestra screenshot

Kestra is an open-source, event-driven orchestration platform for building, scheduling and operating workflows using a declarative YAML model. It provides an API-first experience and a web UI that keep workflows as code while enabling visual inspection, iterative testing and execution.

Key Features

  • Declarative YAML workflows with inputs, variables, subflows, conditional branching, retries, timeouts and backfills
  • Event-driven and scheduled triggers (webhooks, message buses, file events, CRON/advanced schedules) with millisecond latency support
  • Rich plugin ecosystem and task runners to run code in any language (Python, Node.js, R, Go, shell, custom containers) and connect to databases, cloud services and message brokers
  • Built-in web UI with code editor (syntax highlight, autocompletion, topology/DAG view), execution logs, dashboards and a Playground mode for iterative task testing
  • API-first design, Git/version-control integration and Terraform provider for Infrastructure-as-Code and CI/CD workflows
  • Scalable, fault-tolerant architecture with workers, executors and support for containerized and Kubernetes deployments

Use Cases

  • Data pipeline orchestration: scheduled ETL/ELT, batch and streaming data workflows, integration with databases and cloud storage
  • ML/AI and model pipelines: orchestrate preprocessing, training, validation and deployment steps across compute runners
  • Infrastructure and business automation: orchestrate provisioning, service orchestration, webhooks and event-driven automation across teams

Limitations and Considerations

  • Advanced governance features (SSO, RBAC, multi-tenant enterprise controls) are provided in commercial/Enterprise offerings rather than the core open-source distribution
  • Frontend editing capabilities (interactive drag-and-drop flow editing) are evolving; some UI graph editing features are currently limited and under active development
  • Plugin coverage varies by integration; teams building uncommon integrations may need to implement or maintain custom plugins

Kestra combines an Everything-as-Code approach with a feature-rich UI and extensible plugin model to unify orchestration across data, infra and application workflows. It is designed for teams that need both developer-grade reproducibility and operational observability in workflow automation.

26.2kstars
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Why choose an open source alternative?

  • •Data ownership: Keep your data on your own servers
  • •No vendor lock-in: Freedom to switch or modify at any time
  • •Cost savings: Reduce or eliminate subscription fees
  • •Transparency: Audit the code and know exactly what's running