#1 Platform for Data Product Delivery
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Ultra-automated data transformation

Build superior data products in less than 2 sprints in your Cloud Data Warehouse, Lakehouse, or Mesh.

Empowering
data teams
to build better and faster

1. Metadata-Driven Data Modeling

Stop building data models from scratch. Our no-code, metadata-driven approach creates a comprehensive relational data model to integrate diverse data sources based on your business requirements and source metadata.

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2. Automated Data Integration

We deliver the runtime code to load your data model. Our built-in integration templates translate the metadata into data transformation code and workflows for a wide range of technologies, covering 2220 unique setup combinations.

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3. Automated business logic

Create custom templates to automate your business-specific logic. Think of how you apply similar data quality rules across all data domains, making your data ready for use by your AI and analytics applications.

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Your blueprint for cloud data management success

Speed

VaultSpeed's no-code automation helps you shorten the time to deliver new data products to less than 2 sprints, without incurring technical debt.

Agility

As sources, technology, and business views change, our data model adapts. Your data products will not break. Just harvest the new metadata —no need to start over.

Reality

We've bridged the theory-practice gap, delivering advanced features such as migration scripts, delete management, multi-active satellites, satellite splits, and support for customer edge cases.

Built open

Extensibility

VaultSpeed's automation template language is designed to be minimally target-specific, ensuring seamless integration with a broader range of leading data platform solutions such as Snowflake, Databricks, Microsoft, Google, and more CDC, governance, and source technologies than any competitor.

Cloud-native

Our cloud-native setup ensures all learnings are shared across all customers, and drastically lowers the total cost of ownership.

Versatility

VaultSpeed works with all types of structured source data across all modalities (batch, streaming) towards all data architectures (data warehouse, data lakehouse, data mesh, data fabric).

Best-of-breed

We integrate with industry-leading solutions, such as Apache Airflow for orchestration and Git for CI/CD.

Supported Technologies

Designed for efficiency

Metadata repository

Effortlessly store and group diverse metadata types for seamless support of metadata versioning, delta releases, and migrations.

GUI

Engage with your data model visually to enhance and transform it. Your data model serves as a portal to interact with the metadata.

Automation templates

Efficiently translate your metadata into data transformation code, enabling you to apply both data integration and business logic seamlessly.

Components