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Apache Spark vs Keboola

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

Apache Spark

Free plan APILinuxMac+2

Apache Spark combines distributed analytics, SQL, machine learning and multiple deployment options in a free engine. Deployments need security configuration, since security features are not enabled by default.

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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

The facts

Apache SparkKeboola
Free planYesYes
Open sourceNot publishedNot published
Runs onAPI, Linux, Mac, Self-hosted, WindowsAPI, Self-hosted, Web
Lowest paid planFree or on requestSee the plans
Plans published13
MakerNot publishedNot published
Websitespark.apache.orgkeboola.com
On etl software#4 of 28#8 of 28

Apache Spark: what it does well

  • Processes batches and real-time streams
  • Supports five listed programming languages
  • MLlib algorithms run locally or scale to clusters
  • Offers standalone, YARN and Kubernetes deployment

What to know first

  • Security features are not enabled by default
  • Requires a supported Java version
  • R is listed as deprecated

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.

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