Keboola is a finance data and AI platform for companies that need trusted financial reporting, planning, analysis, and close processes across complex systems.
Built for CFOs, FP&A teams, Controllers, finance operations, and data teams, Keboola helps organizations turn fragmented data from ERPs, accounting systems, spreadsheets, CRM, warehouses, and operational tools into one governed foundation for financial intelligence.
Many finance teams rely on disconnected systems, inconsistent charts of accounts, manual reconciliations, and spreadsheet-based reporting. This makes it difficult to close quickly, produce reliable forecasts, answer board questions, support acquisitions, or use AI safely with financial data. Keboola solves this upstream data problem by connecting, standardizing, transforming, and governing financial data before it reaches FP&A, CPM, BI, reporting, or AI tools.
Keboola is especially valuable for multi-entity companies, private-equity-backed businesses, holding groups, financial services firms, franchises, and organizations growing through M&A. These companies often operate across multiple ERPs, entities, countries, currencies, and reporting definitions. Keboola helps standardize chart-of-accounts logic, automate financial data pipelines, reconcile data across systems, and create trusted business definitions that teams can use consistently.
Unlike traditional FP&A, CPM, EPM, budgeting, forecasting, or financial reporting tools that assume clean data already exists, Keboola focuses on the governed data foundation
underneath. The platform gives teams transparent, auditable logic for financial transformations, source-to-output lineage, reusable business rules, and a semantic layer that helps ensure reports, dashboards, forecasts, and AI outputs are based on trusted company data.
Keboola works alongside existing tools such as Snowflake, BigQuery, Databricks, Microsoft Fabric, Power BI, Tableau, Looker, Anaplan, Pigment, DataRails, Workiva, and other finance and analytics platforms. Rather than forcing a rip-and-replace project, Keboola strengthens the data layer beneath these systems so finance teams can plan, report, reconcile, and analyze with greater confidence.
For AI adoption, Keboola provides the governed data environment that makes AI practical for business-critical financial workflows. Teams can connect AI agents and assistants to approved metrics, trusted pipelines, financial definitions, and auditable data products, reducing the risk of confident but untraceable answers.
With Keboola, organizations can improve financial analysis, accelerate reporting, support financial close, automate reconciliation workflows, enable more reliable FP&A, and create a
trusted foundation for AI-powered finance.
Average Rating: 4.6/5.0
Total Reviews: 138
How Do G2 Users Rate Keboola?
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Ease of Use: 8.6/10 (Category avg: 8.7/10)
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Data Governance: 0.0/10 (Category avg: 8.4/10)
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Data Security: 8.3/10 (Category avg: 8.8/10)
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Scalability: 1.7/10 (Category avg: 8.5/10)
Who Is the Company Behind Keboola?
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Seller: Keboola
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Year Founded: 2008
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HQ Location: Prague
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Twitter: @keboola
2,004 Twitter followers
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LinkedIn® Page: www.linkedin.com
97 employees on LinkedIn®
Who Uses This Product?
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Who Uses This: Data Analyst, Data Engineer
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Top Industries: Information Technology and Services, Marketing and Advertising
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Company Size: 63% Medium, 22% Small
What Do G2 Reviewers Say About Keboola?
AI-generated summary from verified user reviews
Pros
- Users find Keboola's platform to be simple and easy to use, making data management accessible for everyone.
- Users value the user-friendly data management capabilities of Keboola, enhancing accessibility for non-technical individuals.
- Users praise the intuitive setup for data flows in Keboola, enhancing productivity with seamless data handling.
- Users value the extensive integrations of Keboola, enabling seamless data management across various platforms and tools.
- Users praise Keboola for its incredible customer support, providing fast and helpful assistance to enhance their experience.
Cons
- Users find the learning curve steep, often requiring developer assistance and causing confusion with component navigation.
- Users struggle with the complexity of Keboola, facing steep learning curves and inconsistent documentation that hinders usability.
- Users face a steep learning curve with Keboola, often needing external help to navigate its complexities effectively.
- Users find the interface difficult to navigate, making data management more complex and error-prone than expected.
- Users find the user interface overwhelming and not intuitive, resulting in a challenging learning experience for newcomers.
What Are G2 Users Discussing About Keboola?
