Indicium, a global leader in data services consultancy, has announced the launch of its Unity Catalog Migration solution, designed to provide unified governance of data and AI assets within Databricks. This innovative solution simplifies access, compliance, and management across organizations, empowering large enterprises to overcome the challenges posed by fragmented data governance and compliance risks.
Many organizations face inefficiencies in metadata management, often exacerbated by the limitations of legacy metastores such as Hive or older Databricks implementations. These barriers hinder scalability, complicate compliance efforts, and delay the adoption of advanced analytics. As Databricks moves toward Unity Catalog as the unified governance solution, customers who do not migrate risk losing access to new features—such as Python UDFs, Delta Sharing enhancements, and automated lineage tracking—leading to outdated infrastructure and a competitive disadvantage.
Indicium’s Unity Catalog Migration solution addresses these challenges by leveraging AI and advanced tools such as the Unity Catalog Extension, Databricks CLI, REST APIs, and Delta Sharing. The solution enables a seamless transition of existing data catalogs to Unity Catalog, offering several key benefits:
- Centralized Access Control: The solution provides a unified platform for managing data access policies across multiple workspaces, ensuring consistent security and governance with minimal overhead.
- Standards-Compliant Security: Utilizing an ANSI SQL-based security model, Indicium allows administrators to define permissions at all levels (catalogs, schemas, tables, views) using industry-standard syntax.
- Built-in Auditing and Lineage: The solution automatically captures user-level audit logs and provides end-to-end data lineage, enhancing transparency and simplifying compliance efforts.
- Improved Migration Efficiency: Tools like the UCX Tool reduce migration timelines and manual tasks by up to 50%, ensuring a smooth transition with minimal disruption.
- Scalability and Flexibility: Indicium’s solution supports secure, cross-workspace data sharing with Delta Sharing, enabling multi-cloud environments and ensuring long-term governance strategy adaptability.
- Data Discovery and Usability: The solution enhances data accessibility by enabling tagging, documentation, and search functionalities, allowing data consumers to easily find and leverage governed data assets.
- System Tables Access: Indicium’s solution simplifies operational data management by providing easy access to system tables such as audit logs, billable usage, and lineage, improving resource utilization.
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The Unity Catalog Migration solution is a key component of Indicium’s Data Migration portfolio, designed to facilitate the transition from legacy metastores like Hive to Databricks Unity Catalog. It enables centralized governance and compliance, making it ideal for tech leaders, engineers, data architects, analysts, product managers, and compliance teams who prioritize seamless collaboration, scalability, and future-ready data ecosystems.
“Unity Catalog Migration is the ideal solution for organizations aiming to centralize data governance, accelerate implementation, and future-proof their data platforms,” said Daniel Avancini, Chief Data Officer at Indicium. “By leveraging pre-defined frameworks and AI-driven accelerators, it delivers measurable results, including a 30% improvement in governance efficiency and data accuracy compared to legacy metastores, while ensuring full customer ownership and avoiding vendor lock-in.”
Indicium offers flexible engagement models for Unity Catalog Migration, including complimentary pre-sales assessments, live demos, fixed-scope pilots, comprehensive implementations, and ongoing support. Pricing is tailored to the scope and complexity of each engagement, with potential funding options available through Databricks partnerships.
With the launch of Unity Catalog Migration, Indicium continues to empower businesses to achieve centralized data governance and compliance, accelerate advanced analytics adoption, and build a foundation for scalable, future-proof data ecosystems.