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Keboola vs Mage

Both stand on dataops platforms. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Keboola

Free plan APISelf-hostedWeb

Keboola combines data ingestion, orchestration, transformations, and governance, with a free tier and enterprise deployment options. Review the free-tier limits and compute allocation before relying on it for ongoing jobs.

Visit Keboola

Mage

Free plan Web

Choose Mage if your team needs scheduled, monitored data pipelines with data quality checks, version control, and integrations across varied data sources. Starter is limited to one developer seat and one environment, while Team charges by CPU-hour in addition to its monthly fee.

Visit Mage

The facts

KeboolaMage
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Self-hosted, WebWeb
Lowest paid planSee the plansStarter: $29 a month
Plans published33
MakerNot publishedNot published
Websitekeboola.commage.ai
On dataops platforms#8 of 16#12 of 16

Keboola: what it does well

  • Lists 1,601 data connectors.
  • Orchestration includes conditional flows, alerts, and scheduling.
  • Transformations support SQL, Python, and R.
  • Enterprise customers can select a provider or region.
  • Free plan includes compute minutes each month.

What to know first

  • Free transformations are limited to Snowflake SQL and Python.
  • Free projects lack the Data Catalog and project-to-project sharing.
  • Jobs pause when free compute minutes run out.

Mage: what it does well

  • Includes workflow scheduling and pipeline monitoring.
  • Supports data quality checks and version control.
  • Connects with databases, SaaS APIs, files, and streams.
  • Hybrid deployment is available.
  • Starter and Team include monthly AI credits.

What to know first

  • Starter adds a $0.50 per CPU-hour charge.
  • Starter includes one developer seat and one development environment.
  • Team includes one environment and shares its 250 AI credits.

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