Workflow orchestration · Keboola s.r.o.

Keboola

End-to-end SaaS data platform combining 700+ ingestion connectors, SQL/Python transformations, and visual pipeline orchestration.

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Keboola is a managed SaaS data platform that covers ingestion, transformation, and orchestration in one product rather than requiring separate tools stitched together. Its Flow Builder lets teams visually sequence extraction (via 700+ pre-built connectors), SQL or Python transformations, and loads into a destination, with dependency management and scheduling handled by the platform. Every project runs on a backend warehouse (Snowflake, BigQuery, DuckDB, and others) that Keboola provisions and bills compute-minutes against, so teams don't manage their own warehouse cluster for Keboola-run jobs. It includes a Data Catalog/Data Share for cross-team or cross-organization data sharing, Git-based CI/CD for pipeline promotion, and compliance certifications (SOC 2, GDPR, HIPAA) on paid tiers. It's aimed at teams that want a single managed platform for the full pipeline rather than assembling an ingestion tool, a transformation tool, and an orchestrator separately.

At a glance

Vendor Keboola s.r.o.
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Teams wanting one managed platform for ingestion, transformation, and orchestration without stitching tools together.

Pricing

A free tier includes limited monthly compute minutes; larger usage and enterprise features require a custom-quoted Enterprise plan.

Plan Price Notes
Free $0 Unlimited pipelines, 700+ connectors; 120 free compute minutes the first month, 60/month after (extra at $0.14/minute)
Enterprise Contact sales Data Share/Catalog, Dev/Prod mode with Git CI/CD, SSO, SOC 2/GDPR/HIPAA

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • 700+ pre-built ingestion connectors
  • Visual Flow Builder for pipeline orchestration
  • SQL and Python transformations on a managed warehouse backend
  • Data Catalog / Data Share for cross-team data sharing
  • Git-based CI/CD with Dev/Prod modes (Enterprise)
  • Multiple storage backends (Snowflake, BigQuery, DuckDB)
  • SOC 2, GDPR, and HIPAA compliance (Enterprise)

Integrations

Profile last reviewed September 21, 2026

Alternatives

Apache Airflow The de facto standard open-source workflow orchestrator, defining pipelines as Python DAGs of scheduled, dependent tasks. Prefect Python-native workflow orchestrator built around plain functions and dynamic flows, with a managed cloud control plane for scheduling and observability. Kestra Open-source, event-driven orchestration platform defining workflows declaratively in YAML, with 800+ plugins for data, infra, and AI tasks.

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Terms to know

Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. ETL (extract, transform, load) A data integration pattern that transforms data before loading it, unlike ELT which transforms after loading. ELT (extract, load, transform) A data integration pattern that loads raw data first and transforms it afterward using the warehouse's own compute. Data catalog A searchable inventory of an organization's data assets, with descriptions, ownership and usage attached. General Data Protection Regulation (GDPR) The European Union's comprehensive data protection law governing how personal data of people in the EU is collected and used. Health Insurance Portability and Accountability Act (HIPAA) The U.S. law that sets privacy and security rules for protected health information handled by healthcare providers and insurers.

Related guides

How to choose a workflow orchestrator Pick a workflow orchestrator by pipeline shape, who owns it, and whether you already run Kubernetes — not by the demo DAG.