Data Governance Solutions: Support Data Democratization

AtScale’s Universal Semantic Layer streamlines enterprise data governance with centralized policies, robust security, and seamless access control. It empowers business teams to innovate confidently while ensuring consistency, scalability, and trust in analytics through a composable approach.

Streamline Enterprise Data Governance with a Semantic Layer

IT Leaders
Business Teams
Enterprises

Consistent Policies

Ensure consistent governance policies across tools and teams.

Data Security

Protect critical data assets with granular access controls.

Simplified Pipelines

Eliminate manual governance overhead with automated data governance features.

Empowered Innovation

Create and customize data products without IT dependency.

Governed Insights

Access metrics and dimensions that are secure, consistent, and trusted.

Accelerated Development

Use pre-built components to speed up data product creation.

Collaboration & Compliance

Solutions that drive innovation while maintaining governance and compliance.

Faster Insights

Streamline analytics pipelines for real-time data access and faster decision-making.

Data Trust

Build organizational trust with consistent, governed data.

Make Governed Data Accessible Across Your Business with AtScale

Govern at Scale Without Slowing Down Your Data Teams

Unified Policy Enforcement: Govern metrics, definitions, cloud resource consumption, and query performance from a single platform while enabling decentralized data product creation.

Composable Analytics Building Blocks: Manage reusable components like pre-built models, metrics calculations, and conformed dimensions.

Semantic Model for All Users: Combine code-first modeling for engineers with a visual canvas for business analysts.

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Centralized Analytics Governance with a Semantic Layer

Enterprise Grade Security Access Control with the AtScale Semantic Layer

Secure Every Query Without Blocking Access or Speed

Granular Row and Column-Level Security: Enforce detailed access controls to safeguard sensitive data.

Seamless Authentication: Integrate with existing credentials and BI tools for secure access.

Dynamic Policy Enforcement: Ensure real-time compliance without interrupting workflows.

Balance Innovation and Governance with a Federated Semantic Layer

Hub and Spoke Innovation: Allow teams to create their own data products based on centrally governed models.

Shared Semantic Objects: Reduce redundancy and promote collaboration by sharing reusable models, metrics, and dimensions.

Centralized Hub: Maintain a single source of truth for core governance standards.

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Decentralized governance model with a semantic layer

Integrate across the modern data stack with a semantic layer

Connect Your Entire Data Stack — Without Breaking Your Workflows

Metadata Management: Open integration with data catalogs like Alation and Collibra ensures governed data is discoverable.

Semantic Language Support: Bridge semantic languages like dbt, Power BI, and LookML for universal metrics alignment.

No Data Movement: Query data in place to ensure scalability and minimize disruptions.

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The stronger our data governance is, the more likely we are to gain efficiencies by having reusable data products that ensure consistency. That’s why putting everything in business terms—through a semantic layer—is so important.

Leigh Pence, Data Governance Senior Tech Lead at Freddie Mac

If you don’t start with a semantic layer, you will have data products that compete with each other, lack consistency and ultimately security. The semantic layer ensures that core metrics and dimensions are defined once and governed centrally, so teams can confidently build and share data products.

Dave Mariani, Co-founder and CTO at AtScale