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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Turn every question into a governed, reusable automation.

While others stop at data movement, Keboola enables AI pipeline creation, orchestration, and complete audit—all in one unified platform.

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700+

Ways to Plug Into Your Data

26,7M+

AI Pipeline Jobs

1,800+

Active Builders

Make AI Work for the Business,
Not Just the Lab

Free Engineering
from the Backlog

Empower every team to move fast—No devops, no ticketing delays.

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Eliminate Shadow AI
for Good

Bring AI projects under control, with full visibility and guardrails.

Turn AI into ROI

Deliver production-ready AI that cuts costs and drives outcomes — not just prototypes.

Keboola AI & Data Platform

Built from the ground up to support autonomous AI operations with enterprise-grade reliability and security.

What sets Keboola apart
from other Data platforms

End-to-End Data Platform Without the Overhead

Run your entire data lifecycle—ingestion to AI delivery—on one governed platform, replacing dozens of tools and eliminating integration headaches.

Operationalize AI Across the Business

Turn any dataset into AI-powered applications and automations—safely, predictably, and at scale.

Deploy Anywhere, Stay in Control

Run Keboola on AWS, Azure, GCP, or your private cloud—without lock-in, with seamless integration to your existing stack.

Freedom to Build, Your Way — With AI at the Core

Whether you’re coding in Python or SQL, building flows in UI, or prompting AI to generate pipelines—Keboola adapts to your workflow.

Active Metadata to Power Observability

Trace every dataset, transformation, and output instantly—across the entire platform—for compliance, debugging, and trust.

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Rated 4.6 stars
on G2

Real Customers. Real Results.

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Česká spořitelna Connects 100+ Projects into a Unified Self-Service Data Management Platform

P3 Logistic Parks Transforms Data Management with Keboola, Boosting Efficiency Across 11 Countries

How Home Credit Consolidated Data Across 9 Countries with Keboola

How Carvago Launched Its Business Idea in 3 Months

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How Brix Centralized Data Across a Portfolio of QSR Brands

How Rohlik became an e-commerce unicorn with data

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Your Peers Already Chose Keboola

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Keboola reviews sourced by G2

At Keboola, security and privacy aren’t features—they’re our foundation.

We adhere to the strictest industry-standard frameworks and undergo regular, independent evaluations to ensure the highest level of protection. Our commitment to enterprise standards is proven by our certifications, including GDPR, HIPAA, and SOC 2.

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FAQs

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What exactly is Keboola—data platform, AI platform, or both?

Keboola is both—a unified AI & Data Platform built from the ground up to support autonomous AI operations with enterprise-grade reliability and security. Powered by the Keboola MCP server, it can be fully operated via your preferred AI agents, IDEs, or assistants—like Cursor, Windsurf, Claude, and more. From building and orchestrating pipelines to creating new integrations, handling maintenance, or running analytics and insights, you can control Keboola entirely from your chosen interface—while keeping every process secure, governed, and auditable.

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How does Keboola’s AI help with building data pipelines?

Thanks to the Keboola MCP server, all key steps of pipeline building can be done directly from your AI IDE or agent—whether it’s Cursor, Windsurf, Claude, or another assistant. AI can create new pipelines from natural language prompts, set up integrations using our Generic components, troubleshoot and analyze errors with suggested fixes, and even auto-generate documentation for your pipeline logic. This means you can design, maintain, and improve your data workflows without ever leaving your preferred AI or development environment—while Keboola ensures everything stays secure and governed.

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How does Keboola integrate with my existing tools and cloud environment?

Keboola runs where you want—AWS, Azure, GCP, or your private cloud—and connects seamlessly to BI tools, AI models, SaaS apps, databases, and APIs. With 700+ native connectors and the ability to build custom ones via Generic components (manually or through AI agents), it fits directly into your existing stack without forcing a rip-and-replace.

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What types of data sources and destinations can I connect to Keboola?

Keboola offers one of the most comprehensive integration frameworks on the market. You get 700+ native connectors out-of-the-box plus Generic REST API connectors—unlocking access to over 75,000+ potential integrations, just a prompt away via your AI IDE or agent. From batch ETL to real-time CDC streams.

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How is Keboola different from other data platforms like Snowflake, or Fivetran?

Snowflake focuses primarily on data storage and compute—Keboola integrates with them but goes further by covering ingestion, transformation, orchestration, governance, and AI-driven automation in one platform. Fivetran handles ingestion only—Keboola replaces that plus multiple other tools, all within a single governed environment.

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Does Keboola replace multiple tools I already use? Which ones?

Yes. Keboola can replace or consolidate ETL/ELT tools, orchestration platforms, metadata/catalog solutions, governance systems, and certain automation layers—reducing complexity, integration overhead, and cost. Many customers also use Keboola to replace internal scripts or manual processes with AI-driven automations.

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Can I work entirely in code (SQL, Python, dbt) or do I have to use the UI?

You choose. Keboola supports full code workflows in SQL, Python, and dbt; low-code/no-code pipeline building; or API/CLI-first orchestration. With MCP, you can even bypass the UI completely—controlling everything from your AI IDE or assistant.

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Does Keboola support streaming data, real-time triggers, or event-driven workflows?

Yes. Keboola supports streaming ingestion, real-time change data capture (CDC), and event-driven orchestration—all of which can be deployed or managed through the UI, CLI, or AI agents connected via MCP.

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How quickly can I get started?

You can spin up a free project in minutes. Many customers have their first data pipelines live within a day and see production workloads in under 2 weeks.