COMPANYAI & Core TechnologyData, Identity & AnalyticsHorizontal Enterprise SaaS

Keboola

Keboola is a unified cloud data and AI operations platform with usage-based SaaS pricing.

Keboola operates in the Unclassified segment.

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Founded
2008
Headquarters
Dělnická 191/27, Holešovice, Praha 7, 170 00, Czech Republic
Core Segment
Unclassified
Company Size
50–200
Official Links
Website
Verified
2026-03-12

Keboola: About

The company operates a horizontal enterprise SaaS data and AI operations platform. It creates value by providing an integrated environment for data ingestion (including real-time streaming), transformation, orchestration, storage, governance and data cataloguing, all exposed through both code-first and low-code interfaces. This consolidation reduces the need for customers to assemble and operate multiple point tools (e.g., separate ETL, orchestration, catalogue, streaming) and leverages existing cloud data warehouses and storage environments.

Revenue is generated primarily through subscription and usage fees for access to the managed platform. Customers adopt the free tier to start, then expand into paid usage as data workloads grow or advanced capabilities are required (real-time streams, AI-agent access, enhanced governance). Enterprise contracts bundle time credits (processing capacity) with service levels, deployment options (including private cloud or region selection) and, where relevant, paid professional services for onboarding or advanced configurations.

Keboola: Market Position

Keboola s.r.o. is a Czech data and AI platform company providing a unified environment for data ingestion, transformation, orchestration, governance and cataloguing. Its cloud-based platform runs on top of major data infrastructure and offers modules such as real-time data streaming, a data catalogue for certified data products, and an MCP server interface to expose data operations to AI agents.

The company generates revenue as a managed SaaS provider using a freemium, usage-based model, with additional paid capabilities and enterprise contracts. Its customers are organisations with data engineering, analytics and data product teams that need to build and operate governed data pipelines and real-time data flows, mainly business and enterprise buyers rather than consumers.

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