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?
-
Ease of Use: 8.6/10 (Category avg: 8.8/10)
-
Data Governance: 0.0/10 (Category avg: 8.4/10)
-
Data Security: 8.3/10 (Category avg: 8.8/10)
-
Scalability: 1.7/10 (Category avg: 8.5/10)
Who Is the Company Behind Keboola?
Who Uses This Product?
-
Who Uses This: Data Analyst, Data Engineer
-
Top Industries: Information Technology and Services, Marketing and Advertising
-
Company Size: 63% Medium, 22% Small
What Do G2 Reviewers Say About Keboola?
AI-generated summary from verified user reviews
Pros
- Users appreciate the ease of use of Keboola, enjoying its intuitive interface and efficient data connection setup.
- Users appreciate Keboola's wide variety of connectors, intuitive interface, and powerful automation features for data integration.
- Users value Keboola's wide range of data connections and intuitive interface, enhancing their data management experience.
- Users value the seamless integrations in Keboola, enhancing data workflows and orchestration with minimal limitations.
- Users praise Keboola's responsive and helpful customer support, enhancing their overall experience with the platform.
Cons
- Users struggle with the steep learning curve of Keboola, finding the setup of services and training insufficient.
- Users find Keboola's interface complex and confusing, especially when managing large projects and navigating components.
- Users find a steep learning curve with Keboola, especially due to fragmented setups and challenging training materials.
- Users find data type management complicated, needing more guidance on transformation errors and advanced monitoring capabilities.
- Users find the UX improvement necessary due to a complicated interface and messy data management with flows.
What Are G2 Users Discussing About Keboola?
