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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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focus this year

Our Roadmap for 2022

The most important features we are going to add to our data platform.
Visual Flow Builder Preview

Enhancing our platform's usability

Visual flow builder. Simplified component page. New admin billing page and new side menu! All coming this year.
Learn more about our visual flow builder


We see huge potential in our current technical partnerships, such as those with Exasol and Synapse. Keboola as a data integration platform on top of the existing data warehouse allows for speedy prototyping, brings more value from data faster, and keeps governance under control. Now we’re putting in the hard work to introduce native support through Teradata. So get ready for our modern data platform to operate there directly. Spoiler alert: the next station on our backend train is Big Query.
teradata logo
dbt logo


We’re driven to be compatible with today’s growing community of dbt users and aim to do this by enabling users to orchestrate their dbt projects in the Keboola platform. We want to empower this open-source framework and add the production infrastructure layer to boot.

Data templates

A predefined set of configurations where you can get data from point A to Keboola (storage) or to point B using a writer to feed a third system. In this way, you can choose whether you want to leave data in Keboola storage, send it to the Tableau, Looker, or Snowflake databases (which Keboola provides), to Google Sheets, or anywhere you have your own credentials.
Preview of data template in Keboola

And other improvements

Dynamic Backend Size for Python and R
Keboola CLI Improvements
Job Artefacts

What We Delivered in 2021

We've added to the list of transformations and to the list of workspaces a description placeholder with a link in case the configuration was created from another one (a transformation created from a workspace or vice versa). This information is also shown on the sidebar of the detail page for the transformation or workspace.

Connect your workspace to the JupyterLab. Open a Jupyter notebook and place your code to use the MLflow server for training and registering the model.

Development Branches allow you to modify component configurations without interfering with running configurations or entire orchestrated pipelines. They are ideal to use when making bigger changes to a project or when you need to be extra careful about performing your changes safely.

Speed large datasets and complex queries by changing a backend size in the configuration.

New Storage UI is to improve your experience of exploring your data. Besides its redesigned layout, you can also enjoy some added features, such as an overview of all buckets and tables on one screen, with bulk actions for buckets.

New transformations behave like any other component. This means that they use the standard API to manipulateand run configurations and that it is possible to create your own transformation components. New Transformations support sharing pieces of code, encouraging users to create reusable blocks of code. They also support Variables that can be used to parametrize transformations.

Exasol is a high-performance, in-memory MPP (Massively Parallel Processing) database specifically designed for analytics. From business-critical data applications to advanced analytics, Exasol helps you analyze large volumes of data.

Operate your cloud data pipeline from the command line. Pull all configurations with one command locally, push changes to the cloud, check for new versions, and more. Free for all Keboola customers.

All components (usually data source and data destination components) that support configuration rows now have the option to set job parallelism at the configuration level. This means that you can control the speed of an extraction or writing process and which scenarios you want to speed up a bit.

From now on, all available data sources (extractors), data destinations (writers), and applications can be found in the new Components directory. To make looking for them easier, we've sorted the most used components into categories.

We've added a new dashboard panel to guide you through a simple Keboola Connection flow. This will give you an overview of your current progress in a project and tips about the next possible steps.

In the header dropdown next to your account menu, you can see an overview of the latest Platform Changelog with links to the full content.

What's new at Keboola