TL;DR
- Choose Airbyte for a large, actively maintained connector catalog, a UI plus API and Terraform, CDC on every plan, and a choice of self-hosted, cloud, hybrid or on-prem deployment with enterprise support.
- Choose Meltano for a lightweight, CLI-first ELT framework you run yourself, with pipelines defined in YAML and existing Singer taps you already rely on.
- What changed in 2026: Meltano's former company, Arch, shut down, and UK data platform Matatika acquired the Meltano project in December 2025. Managed Meltano now runs through Matatika rather than a standalone Meltano Cloud.
Airbyte vs Meltano at a glance
| Airbyte | Meltano |
|---|
| Category | Open data movement (ELT and CDC) platform | Open-source, code-first ELT framework |
| Ownership | Independent | Matatika (since December 2025) |
| License | Open source (Core) | MIT |
| Connectors | 700+, including SaaS APIs, databases, files and unstructured sources | Singer taps and targets on Meltano Hub; quality and maintenance vary by variant |
| Connector maintenance | Airbyte team plus 1,000+ contributors, with certified connectors | Community and individual variant maintainers |
| Custom connectors | No-code Connector Builder with AI assist, low-code CDK, Python CDK | Meltano SDK for Singer (Python) |
| Building a pipeline | Configure in UI, API, Terraform or PyAirbyte | meltano.yml and CLI commands |
| Schema changes | Detected and propagated automatically | Depends on each tap and target |
| Change data capture | Log-based CDC on every plan | Available in some database taps |
| Orchestration | Native integrations with Airflow, Dagster and Prefect | Airflow and Dagster plugins |
| Pricing | Free (Core); Cloud from $20/month; capacity-based Data Workers on Pro and Enterprise Flex | Free (self-hosted); managed option via Matatika, quote-based |
| Deployment | Self-hosted, managed cloud, hybrid or fully on-prem | Self-hosted, or managed by Matatika |
| Who can use it | Analysts (UI) and engineers (API, Terraform, PyAirbyte) | Data engineers comfortable with CLI, YAML and Python |
About Airbyte
Airbyte is the open standard for data movement, used by 18% of the Fortune 500. It replicates data from 700+ sources into warehouses, lakehouses, databases and AI context stores, and runs self-hosted, fully managed, or hybrid inside your own boundary.
About Meltano
Meltano began inside GitLab and was spun out in 2021 as an independent, venture-backed company, which later rebranded as Arch. It is an open-source, MIT-licensed ELT framework that runs Singer taps and targets from a CLI, with pipelines, plugins and environments declared in a meltano.yml file. Teams add dbt for transformation and Airflow or Dagster for scheduling through Meltano plugins.
What changed: Arch shut down, Matatika took over
Arch, the company behind Meltano, has shut down and its platform is no longer operating. In December 2025, Matatika, a UK-based data platform company, acquired the Meltano open-source project and now runs it alongside its own commercial platform under the Meltano name.
The project continues, but the managed path has changed: hosted Meltano now runs through Matatika. Teams evaluating Meltano should check Matatika's roadmap, pricing and support terms, since the original Meltano Cloud team is no longer behind it.
Connectors: Singer taps vs. maintained connectors
Meltano runs Singer taps and targets listed on Meltano Hub. Many sources have several competing variants, written and maintained by different people, so quality, incremental support and update frequency vary. When an API changes, a fix depends on whoever maintains that variant, or on your team.
Airbyte connectors are maintained by the Airbyte team and 1,000+ contributors, with incremental syncs, CDC and schema propagation built in. When a source is missing, the Connector Builder generates one from API docs with AI assist, or engineers can use the low-code or Python CDK.
Moving off Meltano usually means mapping each Singer tap to an Airbyte connector and running both in parallel to validate row counts before cutover.
Building and running pipelines
Meltano is code-first. Engineers add plugins, edit YAML, run meltano run from the command line, and wire in their own scheduler and monitoring. That suits teams that want everything in Git, but analysts can't add sources on their own.
Airbyte gives analysts a UI to add sources and destinations, while engineers manage the same pipelines as code with the Airbyte API, Terraform provider and PyAirbyte, orchestrated by Airflow, Dagster or Prefect.
Pricing
Meltano is free to self-host. You pay for infrastructure and the engineering time to run, monitor and upgrade it. Managed Meltano through Matatika is quote-based.
Airbyte Core is also free to self-host. Cloud starts at $20/month (Standard) and $189/month (Plus). Pro and Enterprise Flex price on Data Workers, dedicated compute capacity, so cost doesn't depend on row counts.
Deployment and support
Meltano runs anywhere you can run Python, with support coming from the community or a Matatika contract.
Airbyte runs four ways on one codebase: free self-hosted Core, managed cloud, hybrid with an Airbyte-managed control plane, or fully on-prem with Enterprise Flex, with enterprise support and SLAs available.
Where Meltano leads
Meltano is a strong fit for small engineering teams that want a lightweight, fully code-defined ELT framework in Git, and for teams already invested in specific Singer taps.
When to choose Airbyte vs Meltano
| Your situation | Better fit |
|---|
| You want connectors maintained for you rather than community Singer taps | Airbyte |
| Analysts need to add sources without engineers | Airbyte |
| You need CDC from production databases with minimal setup | Airbyte |
| You want a managed cloud option with published pricing | Airbyte |
| You need hybrid or fully on-prem deployment with enterprise support | Airbyte (Enterprise Flex) |
| A small engineering team wants a lightweight, fully YAML-defined ELT framework | Meltano |
| You depend on specific Singer taps and want to keep running them as-is | Meltano |
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