Keboola

Keboola

All-in-one data platform with 700+ integrations and AI tools.
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Keboola is a self-service data management platform that empowers teams with over 700 integrations and AI tools to automate and manage data efficiently. It offers a free tier with core features and scalable solutions for enterprises.

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How to use Keboola?

Keboola enables users to consolidate, build, and deploy data applications quickly. It simplifies data operations across your stack, ensuring secure and clean data for all apps. Ideal for teams looking to democratize data access and leverage AI for decision-making.

Keboola 's Core Features

  • Unified data management platform
  • 700+ data connectors for seamless integration
  • AI tools to drive business decisions
  • Free tier with core features available forever
  • Scalable and secure infrastructure for enterprises
  • Data catalog and science capabilities
  • Multi-cloud and hybrid deployment options

    • Keboola 's Use Cases

  • Marketing teams can automate data reports and gain insights faster.
  • Retail & Ecommerce businesses optimize online data and AI initiatives to increase revenue.
  • Financial services ensure secure, compliant data management with scalable solutions.
  • Data scientists leverage R, Python, and SQL transformations for advanced analytics.
  • Enterprises unify data tools and workflows into one governed environment.

    • Keboola 's Pricing

    Free Tier

    $0

    Limited free forever with unlimited ETL/ELT workflows, 700+ data connectors, and 250 GB of data storage included.

    Enterprise Plan

    Contact us for pricing

    Unlock the full potential of your enterprise data with multiple project architecture, data catalog, and more.

    Keboola 's FAQ

    Most impacted jobs

    Data Engineers
    Marketing Professionals
    Retail & Ecommerce Managers
    Financial Analysts
    Data Scientists
    IT Administrators
    Business Analysts
    Enterprise Architects
    Consultants
    AI Developers

    Keboola Youtube Reviews

    Keboola 's Tags

    #data management#AI tools#data integration#business intelligence#cloud computing#data science#automation

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