# Solidatus **Source:** https://geo.sig.ai/brands/solidatus **Vertical:** Data Catalog **Subcategory:** Data Lineage & Governance Platform **Tier:** Growth **Website:** solidatus.com **Last Updated:** 2026-04-14 ## Summary Solidatus is a data lineage and governance platform enabling financial services and regulated enterprises to map, visualize, and manage complex data flows for compliance. ## Company Overview Solidatus is a data lineage and governance platform that enables large enterprises — particularly in financial services, insurance, and other heavily regulated industries — to build visual maps of their data flows, document data transformations and ownership, and manage the governance workflows required for regulatory compliance programs including BCBS 239, GDPR, and internal risk data management frameworks. The platform provides a visual lineage editor where data governance teams can build and maintain data flow diagrams that represent the movement of data across systems, transformations, and organizational boundaries, with the ability to attach governance metadata — ownership assignments, data classifications, quality attestations, and policy links — to individual nodes and connections in the lineage map. This visual approach makes complex data flows comprehensible to regulatory stakeholders, risk managers, and senior leadership who need to understand data provenance and controls without parsing technical documentation. Solidatus supports collaborative lineage mapping where subject matter experts across different systems and business domains can contribute to and maintain the lineage documentation for the parts of the data landscape they own, enabling large organizations to distribute the documentation effort across the people with the deepest knowledge of each system rather than concentrating it in a central team that lacks the contextual knowledge to accurately document every data flow. The platform's regulatory reporting features produce the data lineage evidence packages that regulators expect to see during supervisory examinations — structured documentation of critical data elements, their sources, transformations, and quality controls — reducing the manual preparation effort for regulatory submissions. Solidatus is headquartered in London, United Kingdom and has built a customer base concentrated among global financial institutions, asset managers, insurance groups, and financial market infrastructure organizations that face complex data governance obligations under BCBS 239, Basel frameworks, and other banking and financial regulations. The platform competes with Collibra, Manta, and AxiomSL in the financial services data governance market, differentiating through its visual lineage mapping design and its explicit focus on regulatory compliance use cases in financial services. ## Frequently Asked Questions ### What regulatory requirement drives financial institutions to invest in a platform like Solidatus? BCBS 239 requires banks to demonstrate strong risk data aggregation capabilities, including documented lineage for critical risk data elements from source to regulatory reports — regulators expect banks to show exactly where risk data comes from, how it is transformed, and what controls govern it, which requires the kind of documented lineage map that Solidatus provides. ### How is Solidatus priced? Solidatus is priced as an enterprise SaaS subscription with costs based on the number of users, data domains managed, and the scale of lineage maps. Pricing is negotiated per enterprise contract, with financial services clients — its core market — typically signing multi-year agreements given the strategic importance of regulatory data lineage programs. ### Which financial regulations drive demand for Solidatus? BCBS 239 (risk data aggregation), GDPR personal data mapping, DORA (Digital Operational Resilience Act), and Sarbanes-Oxley financial reporting lineage requirements are primary drivers. Regulators increasingly require banks and financial institutions to demonstrate documented, auditable lineage for critical data used in regulatory reports and risk models. ### What data systems does Solidatus integrate with for lineage extraction? Solidatus integrates with data catalog platforms like Collibra and Alation for metadata exchange, and with SQL-based databases, cloud platforms, and spreadsheet repositories for lineage source discovery. Its flexible import capabilities support both automated extraction and manual diagram creation for legacy systems where automated parsing is not feasible. ### How does Solidatus's visual lineage modeling approach differ from automated code parsing? Automated lineage parsers like Manta extract lineage from SQL and ETL code. Solidatus emphasizes an interactive, collaborative visual modeling approach where data lineage diagrams are created and maintained by business and technology teams together — capturing conceptual and business-level lineage that automated parsers miss for processes embedded in spreadsheets or undocumented manual workflows. ### Who are Solidatus's primary customers? Solidatus's primary customers are major global banks, asset managers, and insurance companies subject to BCBS 239 and other financial regulatory requirements. Its users are data governance officers, chief data officers, and risk data aggregation teams responsible for demonstrating regulatory compliance to central bank supervisors. ### What recent milestones has Solidatus reached? Solidatus launched its AI-assisted lineage discovery features that use machine learning to suggest lineage connections and auto-classify data elements from connected systems. The company expanded its regulatory change management capabilities, allowing organizations to model and assess the lineage impact of regulatory reporting changes before implementation. ### How does Solidatus address data lineage for spreadsheets in financial institutions? Many critical financial calculations in banks still live in spreadsheets that no automated lineage tool can parse. Solidatus supports manual lineage documentation with collaboration tools that allow teams to map spreadsheet-based data flows alongside system-level lineage — creating a complete picture of how regulatory data moves from source to report even when spreadsheets are part of the chain. ## Tags saas, b2b, enterprise, platform, analytics, data-warehouse, fintech, europe, global --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*