Solving Warehouse Migration at scale with Qubika’s Governance Migration Accelerator
Qubika’s Governance Migration Accelerator automates the migration of governable data assets from legacy data warehouses into Databricks Lakehouse using AI-assisted translation, validation, and policy enforcement. The result: up to 90% less migration effort, with consistent, auditable, and compliant data access across all environments.
The problem: migrating data is easy, migrating governable assets is not
Most organizations modernizing their data platforms focus first on moving data and pipelines.
Access models, security rules, and cataloged objects often come later.
When migrating from legacy warehouses like Snowflake or Redshift to Databricks, teams quickly discover that rebuilding schemas, roles, permissions, and tags in Unity Catalog is a manual, error-prone, and time-consuming process.
Governance-related metadata is rarely portable. Existing migration tools focus on data movement, not on translating who can access what, how, and under which policies. There is no standard workflow to convert legacy access structures into Unity Catalog–ready assets.
The result:
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Weeks of manual recreation of schemas, roles, tags, and grants
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Inconsistent access models across domains and environments
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Higher risk of human error and compliance gaps
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Delayed access to properly governed data in the Lakehouse
As migration scope grows, these gaps slow down platform modernization and increase operational and regulatory risk.
We built the Governance Migration Accelerator to fix that.
The Qubika Governance Migration Accelerator: migrating governable data without the rework
The Governance Migration Accelerator is an AI-powered solution that automates the migration of governable data objects from legacy warehouses into Databricks Unity Catalog.
It manages the full lifecycle of migrating data access and metadata:
Accelerated migration
Cuts migration time by up to 90% by automatically extracting, translating, and validating schemas, tables, roles, permissions, and tags.
Consistent, compliant access models
Applies standardized naming conventions, access rules, and policy mappings during migration to align with Unity Catalog best practices.
AI-assisted translation with validation
Uses a combination of rule-based logic and language models to convert legacy metadata into Databricks-ready DDLs, with built-in syntax, dependency, and consistency checks.
Audit-ready by design
Produces comprehensive migration reports with coverage metrics, validation results, and full traceability for every migrated asset.
The result is a Databricks Lakehouse with cleanly migrated, fully governable data assets, ready for analytics, AI, and production workloads, without weeks of manual cleanup.
Our approach: AI-powered migration of governable data assets on Databricks
To make migration both fast and trustworthy, Qubika designed the accelerator as a modular AI system running natively on the Databricks Lakehouse.
The accelerator follows a clear, repeatable flow:
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Securely extract metadata and access definitions from legacy warehouses
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Classify and normalize schemas, tables, views, roles, permissions, and tags
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Translate and validate artifacts using AI-assisted pipelines
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Generate reports and Unity Catalog assets ready for deployment
Each stage can run independently or integrate seamlessly into broader Databricks migration and CI/CD pipelines.
Potential Use Cases
The Governance Migration Accelerator is designed for teams working at the intersection of data, access control, and platform engineering.
Data Engineering
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Automatically extract and translate schemas, tables, and views from Snowflake, Redshift, or on-premise systems
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Validate thousands of data objects before deployment to ensure clean ingestion into Unity Catalog
Data Governance & Compliance
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Translate legacy roles, permissions, and tags into standardized Databricks access models
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Ensure consistent RBAC, traceability, and auditability across environments
Infrastructure & DevOps
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Integrate migration of governable assets into CI/CD or orchestration pipelines
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Standardize catalog and access structures across workspaces to accelerate Lakehouse adoption
Key benefits for the enterprise
Organizations using Qubika’s Governance Migration Accelerator see measurable improvements:
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Up to 90% faster migration of metadata and access definitions
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Reduced manual effort and lower risk of configuration errors
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Standardized access control across all Databricks workspaces
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Full traceability and compliance through detailed validation and migration reports
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Faster readiness for analytics, machine learning, and AI workloads
Built on Databricks. Powered by Qubika.
The accelerator runs fully on Databricks, leveraging Unity Catalog, Databricks Apps, Lakehouse storage, CI/CD integration, and Databricks-hosted LLMs to keep access rules and data assets close to the platform and under your control.
It’s a reusable engine for migrating governable data assets that scales with your platform.
Take the manual work out of warehouse migration
If your team is spending weeks recreating schemas, roles, and permissions, or struggling to maintain consistent access models during Databricks migrations, the Governance Migration Accelerator provides a faster, safer path forward.
Modernize your platform, standardize how data assets are governed, and free your teams to focus on delivering value, not reimplementing metadata.
Ready to accelerate your Databricks migration?
Talk to Qubika to learn more or schedule a live demo of the Governance Migration Accelerator.
