Every execution, every table, every user—captured as metadata and unified for governance, observability, and automation.
Faster Discovery & Troubleshooting
AI Pipeline Jobs
Active Builders
Ever found yourself trying to figure out where an error is coming from or how exactly a metric is computed? This is where Data Lineage comes in. It is the process of tracing data as it flows through your tools and data systems. Data Lineage records your data’s pathway from its source through its destination while marking every touchpoint and change in between.
Full transparency of where the data is sourced from, how it is transformed, and what role it plays in your important metrics fuels your team with more trust in the data they use for decision-making.
Identify errors by tracing them to their root. Follow the pathway your data traveled from end to end to identify where the issues started. Save time on manual analysis and debugging.
From GDPR to Basel, regulatory compliance mandates the traceability of data. Save time on legal requirements by adopting tools that do the heavy lifting for you.
Run your entire data lifecycle—ingestion to AI delivery—on one governed platform, replacing dozens of tools and eliminating integration headaches.
Turn any dataset into AI-powered applications and automations—safely, predictably, and at scale.
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Run Keboola on AWS, Azure, GCP, or your private cloud—without lock-in, with seamless integration to your existing stack.
Whether you’re coding in Python or SQL, building flows in UI, or prompting AI to generate pipelines—Keboola adapts to your workflow.
Trace every dataset, transformation, and output instantly—across the entire platform—for compliance, debugging, and trust.
Orchestrate AI-powered pipelines with end-to-end visibility, built-in audit trails, and policy-based governance—no engineering heavy lifting.
