Keboola Data Platform

Keboola Data Platform is an end-to-end data pipeline platform that unifies data ingestion, transformation, orchestration, and AI pipeline creation into a single control plane.

Updated 8 Jun 2026 Reviewed by 7wData

Publisher review

Keboola Data Platform is an end-to-end data pipeline platform that unifies data ingestion, transformation, orchestration, and AI pipeline creation into a single control plane. It is designed for data engineering and AI teams who need a governed, all-in-one environment to build and automate data and AI workflows without stitching together multiple point tools. The platform is available on Google Cloud, Microsoft Azure, and AWS, and connects to major data warehouses including Snowflake, Databricks, and AWS Redshift. Keboola positions itself as a managed alternative to assembling separate ingestion, transformation, and governance tools, particularly for organizations that want to reduce the number of failure surfaces in their data stack.

Keboola offers over 700 pre-built connectors, including lite and community connectors, plus a no-code visual designer for any API source. The platform supports full version control and branching, safe experimentation in SQL and Python workspaces, and built-in governance with lineage tracking, metadata management, and cost monitoring. Keboola's AI Assistant, Maia, is described as the industry's first AI Data Automation platform, enabling users to create automations through natural language prompts. The platform also integrates with external AI tools like Cursor, Windsurf, Devin, Claude, and ChatGPT, allowing human and AI agents to work together within a governed environment.

Compared to competitors like Fivetran, Matillion, and Stitch, Keboola differentiates itself by offering a unified control plane that reduces incidents and enables context-aware AI, rather than focusing solely on data movement or transformation. Fivetran provides over 700 pre-built connectors but focuses on automated ELT with minimal transformation, while Matillion offers around 150 connectors with a drag-and-drop interface for ETL/ELT and reverse ETL. Keboola's built-in governance with lineage and cloud colocation gives it an edge for teams that need an all-in-one platform with less surface for failure, but it lacks the native transformation depth of Matillion and the connector breadth of Fivetran.

Honest trade-offs include a less mature transformation layer compared to Matillion, no native visual orchestration, no native pushdown architecture, and no native reverse ETL. The platform's no-code pipeline builder is limited to connector-level configuration, meaning complex transformations require SQL or Python coding. Keboola's pricing is not publicly listed, but it is available through cloud marketplaces on Google Cloud, Azure, and AWS, which may simplify procurement but also ties costs to cloud consumption. For teams that prioritize a single, governed platform over best-of-breed components, Keboola is a strong candidate, but those needing deep transformation or reverse ETL out of the box should evaluate Matillion or Fivetran.

How it works

700+ pre-built connectors

Includes lite, community, and custom connectors, plus a no-code visual designer for any API source, covering over 250 data sources and destinations.
End-to-end AI/BI pipeline

Supports ingestion, transformation, orchestration, and AI pipeline creation in one unified platform, reducing the need for multiple tools.
Full version control and branching

Enables safe experimentation in SQL and Python workspaces with Git-like versioning, allowing teams to test changes without disrupting production.
Built-in governance with lineage

Includes metadata management, data lineage, quality monitoring, and cost tracking, all integrated into the platform rather than bolted on later.
AI Assistant (Maia) integration

Maia is the industry's first AI Data Automation platform, allowing users to create automations via natural language and integrate with tools like Cursor and Claude.
Cloud colocation on major providers

Available on Google Cloud, Microsoft Azure, and AWS, enabling data processing close to existing cloud data warehouses for reduced latency.
Open source and community apps

Offers rich community-built applications alongside core integrations, with open source components that allow customization and extension.

Strengths and trade-offs

Strengths

Unified control plane reduces incidents by eliminating the need to stitch together separate ingestion, transformation, and governance tools.
Built-in governance with lineage, metadata, and cost monitoring is integrated from the start, not added as an afterthought.
Cloud colocation on Google Cloud, Azure, and AWS allows data processing to run close to major data warehouses like Snowflake and Databricks.
AI Assistant Maia enables natural-language creation of automations, integrating with external AI agents like Cursor and Devin for context-aware workflows.

Trade-offs

Less focus on transformation compared to Matillion, which offers native drag-and-drop ETL/ELT and reverse ETL capabilities.
No native visual orchestration, requiring users to rely on code-based or connector-level pipeline configuration.
No native pushdown architecture, which can limit performance for large-scale ELT workloads compared to platforms like Fivetran.
No native reverse ETL, meaning teams must use separate tools to sync processed data back to operational systems.

Pricing context

Not publicly listed; available through cloud marketplaces on Google Cloud, Microsoft Azure, and AWS, with costs likely tied to usage and cloud infrastructure.

Getting started with Keboola Data Platform

Sign up for Keboola

Go to the Keboola website and click the sign-up button. Choose to register via Google Cloud, Microsoft Azure, or AWS marketplace, or request a trial directly. Complete the registration form with your email and organization details to create your account.
Connect a data source

In the Keboola console, navigate to the Connectors section. Browse or search the 700+ pre-built connectors to find your source (e.g., a database or SaaS app). Click the connector, then enter the required credentials (API key, host, or URL) and test the connection to verify it works.
Configure a transformation

Create a new transformation component in your project. Write SQL or Python code to clean, join, or aggregate your ingested data. Use the built-in workspace to test your logic with sample data, then save the transformation as a version-controlled component.
Run your first pipeline

Set up an orchestration by linking your data source, transformation, and a destination (e.g., Snowflake or Databricks). Click the Run button to execute the pipeline. Monitor the job status in the dashboard and check the output in your data warehouse to confirm success.
Schedule recurring runs

In the Orchestrations tab, select your pipeline and set a schedule (e.g., daily at 2 AM). Configure notifications for failures or completions via email or webhook. Save the schedule to automate your data pipeline, ensuring fresh data flows without manual intervention.

Frequently Asked Questions

What is Keboola Data Platform used for?

Keboola Data Platform is an end-to-end data pipeline platform for data engineering and AI teams. It unifies data ingestion, transformation, orchestration, and AI pipeline creation into a single control plane, reducing the need to stitch together multiple point tools.

How many connectors does Keboola offer?

Keboola offers over 700 pre-built connectors, including lite, community, and custom options. It also provides a no-code visual designer for any API source, covering over 250 data sources and destinations for flexible data integration.

Does Keboola have built-in governance features?

Yes, Keboola includes built-in governance with data lineage, metadata management, quality monitoring, and cost tracking. These features are integrated from the start, not added later, helping teams maintain control over their data pipelines.

How does Keboola compare to Fivetran and Matillion?

Keboola offers a unified control plane with built-in governance and AI integration, unlike Fivetran's focus on automated ELT or Matillion's transformation depth. It reduces failure surfaces but lacks native reverse ETL and visual orchestration found in competitors.

What is Keboola's AI Assistant Maia?

Maia is Keboola's AI Data Automation platform, allowing users to create automations through natural language prompts. It integrates with external AI tools like Cursor and Claude, enabling human and AI agents to work together in a governed environment.

Is Keboola's pricing publicly available?

Keboola's pricing is not publicly listed. It is available through cloud marketplaces on Google Cloud, Microsoft Azure, and AWS, with costs likely tied to usage and cloud infrastructure, simplifying procurement for some organizations.

Alternatives

How Keboola Data Platform compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Pricing: Not publicly listed; available through cloud marketplaces on Google Cloud, Microsoft Azure, and AWS, with costs likely tied to usage and cloud infrastructure.
Target: Keboola Data Platform is an end-to-end data pipeline platform that unifies data ingestion, transformation, orchestration, and AI pipeline creation into a single control plane.
Strength: Unified control plane reduces incidents by eliminating the need to stitch together separate ingestion, transformation, and governance tools.
Watch for: Less focus on transformation compared to Matillion, which offers native drag-and-drop ETL/ELT and reverse ETL capabilities.

Pricing: Custom/Contact sales
Target: Enterprise teams needing fixed-fee unlimited data volumes
Deployment: Cloud
Strength: Combines ETL and reverse ETL with SOC 2/GDPR compliance
Watch for: Pricing opacity for mid-market use cases

Pricing: $249/month starter, enterprise custom
Target: Teams prioritizing no-code real-time pipelines
Deployment: Cloud
Strength: 150+ connectors with auto-schema management
Watch for: Limited transformation capabilities pre-load

Pricing: $10k+/year minimum
Target: Enterprises needing AI-powered workflow automation
Deployment: Cloud/hybrid
Strength: Low-code SaaS integration with 1k+ app connectors
Watch for: Steep learning curve for non-technical users

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Keboola Data Platform

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Publisher review

How it works

700+ pre-built connectors

End-to-end AI/BI pipeline

Full version control and branching

Built-in governance with lineage

AI Assistant (Maia) integration

Cloud colocation on major providers

Open source and community apps