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Run your data operations on a single, unified platform.

  • Easy setup, no data storage required
  • Free forever for core features
  • Simple expansion with additional credits
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Keboola Roadmap Update - June 2021

Scaffolds: automate your data pipeline.

End-to-end workflows that deploy in a couple of clicks or an API call. In minutes, your whole project blueprint is stood up - flexible to any changes, updates, modifications or extensions.

Try Scaffolds
Learn more
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Deploy in minutes, customize later

Accelerate
Data Production

With scaffolds, no time is wasted in discovery, acquiring, organizing, cleaning, transforming, and modeling data step by step manually.

Unburden
your data team

With pre-built data pipelines, your data team can cover a vast array of company use cases. Scaffolds free up their time to focus on high-value work they love doing.

Set a baseline for your mL models

With machine learning models, the name-of-the-game is continuous improvement. Scaffolds allow you to swiftly deploy a model that can act as your baseline which you can develop further.
Everyone’s Favorite Scaffolds

In one-click, change the way you work

Explore Scaffolds
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Bitbucket Devops
Get Bitbucket repositories analysis to track progress of your development and activity of your team members.
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Reviewtrackers Reviews
Get a complete business application to extract multi-location reviews from ReviewTrackers, relations and sentiment analysis, and output of a standardized data model.
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Zendesk Support
Get basic acquisition of Zendesk data with transformation to a standard support data model.

End-to-End Data Pipelines

Automation brings incredible value to data teams and hyper-growing companies. It removes hours of sweating over repetitive and mundane tasks.

Read article
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Request a Scaffold

Don’t see a scaffold you need? We add new scaffolds based on customer feedback. Email us the scaffold you’d like added.

Email us
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What's New at Keboola

How To
How does data mesh fit into data architecture principles?
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How To
Data mesh - the answer to the failures of centralized data architectures
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