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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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Roadmap

new planned features

Submit your idea

Click this icon in the product to tell us what you want us to improve to make working with data easier for you.

Features

Data Model Governance & Creating a Table by Code

Clicking Create a table will open a new code snippet space where users can paste or edit their code to create SynapseDB and Snowflake tables. Then they can review the tables.

Hacker Mode – Hacking the Table

Users will be able to perform raw operations through an API directly in the Keboola Connection user interface.

Keyboard Shortcuts

Users will be able to speed up their work by using keyboard shortcuts to access the most frequently visited destinations in the user interface.

DBT Transformations in Keboola Connection (MVP)

Users will be able to create a new blank DBT transformation and edit it using a command-line interface (CLI).

Development Branches (UX Fixes & Orchestrations)

Orchestrations will be enabled in development branches. Users will be able to create a new orchestration in their branch and run it. However, they won’t be able to set a scheduler and notifications. Having a clear overview of what was merged and when in the development branch will improve the overall user experience.

Dynamic Backend R+Python

To complete jobs faster, users will be able to change the size of the DWH backend by selecting from three available options (small/medium/large). They will receive an automatic notification when a particular heavy job might need its backend size increased.

Parallel Configuration Rows Execution (Components)

Users will be able to run multiple parallel component configurations, e.g., when downloading multiple tables with one extractor with multiple config rows. They can run any configuration rows of any component with configuration rows in parallel and define the level of parallelism.

Transformation Grouping

In new transformations, users will be able to organize transformations in logical groups. They will be able to create a new folder with a custom name and then move their current or new transformations there.

New Transformations — Improvements

Users will be able to set multiple outputs for one table in one transformation, and to create multiple queries within one shared code block. They will also be able to enjoy seamless two-way code synchronization between Jupyter Notebook and Python transformations and many UX enhancements. In addition, when a transformation error occurs, users will be automatically taken to the highlighted problematic query.

Teradata Storage Backend

Our enterprise customers will be able to import their own Teradata. A new stack with a customer Teradata backend will be created and all basic platform features will be available.

Visual Flow Builder

Users will be able to create or copy an existing pipeline (from extracting data and its manipulation, to exporting to the final destination and setting up regular orchestrations) in a user-friendly environment within minutes.

Dashboard Interactive Guide

Interactive blue cards on the dashboard will guide users through the whole journey of automating their first pipeline, from setting up an extractor up to their first working orchestration.

Dynamic Backend Snowflake

To complete jobs faster, users will be able to change the size of the transformation backend by selecting from three available options (small/medium/large). They will receive an automatic notification when a particular heavy job might need its backend size increased.

Extractors — Simplified UI

In pay-as-you-go (PAYG) projects, users will have an opportunity to set up selected components (such as the most frequently used data sources) via a newly implemented simplified user interface. Basic and advanced modes will be available.

Keboola as Code

Users will be able to manage project configurations directly from code using the Keboola CLI. Synchronizing projects to the local environment or GIT repository will allow them to speed up developing and iterating on top of Keboola from their IDE where they have automatic code check, CI/CD pipelines, etc. 

What's new at Keboola