Overview

☁️  This section covers Meltano Cloud - the fully managed, hosted edition. Features here are not available in Community or Open.

Why teams use Meltano Cloud

Meltano Cloud is the fastest way to run production ELT pipelines without managing infrastructure. Sign up, connect a Git repo, define your pipelines, and Meltano handles the rest: deployments, scheduling, credentials, and monitoring are all managed for you.

Why companies choose Meltano Cloud

• No infrastructure to manage: workspaces, deployments, and scheduling are handled for you; you connect a repo and Meltano runs it.
• Git-backed by design: every workspace is backed by a GitHub repository, so your pipeline config stays version-controlled and auditable.
• Isolated by team or project: each workspace has its own pipelines, data store connection, members, and credentials.
• Credentials handled safely: deployment keys and credentials live in Settings inside your workspace.

Get started in 6 steps

1. Get in touch: Create your Meltano Cloud account at meltano.com/contact. You can sign in with GitHub or Google.

2. Create a workspace: A workspace is an isolated environment for your team. Name it after your organization or project, then invite teammates from the Members tab.

3. Connect a Git repository: Link the GitHub repo that contains (or will contain) your meltano.yml. Meltano Cloud reads your pipeline definitions directly from your repo on every run.

4. Add credentials: Set your deployment keys and credentials in Settings.

5. Install a plugin and create a pipeline: In the Lab, find and install the extractor for your data source, then click + Pipeline next to it. Fill in the required connection settings and set a schedule (or leave it manual for now).

6. Trigger a pipeline run: Save your pipeline and wait for the config job to finish (1-2 minutes). This commits your pipeline to the workspace repo. Once it completes, trigger a run from the Cloud UI or with meltano cloud run, and watch live logs stream directly in the interface. Don't trigger a run while the config job is still in progress - wait for it to finish first. Once your first run succeeds, you can set a recurring schedule, stream logs to DataDog, and add alerting, all from the Cloud UI.

Getting help

If you cannot find an answer to your question, there's always an active Meltano Slack Community to help you out.