Unparalleled data automation for Snowflake


Snowflake enables you to build data-intensive applications without an operational burden in the cloud, it provides one location for structured and semi-structured data, so there are no data silos.

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The AI data cloud

Snowflake’s platform enables a wide variety of workloads and applications on any cloud, including data warehouses, data lakes, data pipelines, and data sharing as well as business intelligence, data science, and data analytics applications.

The AI Data Cloud consists of two parts: platform and data. Snowflake’s platform is the engine that powers the AI Data Cloud. The data available in the AI Data Cloud comes from customers and other data providers that store, access, and ultimately decide to share data via their platform.

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Data warehousing

Snowflake’s support for data warehousing and analytics provides a low-maintenance, cost-effective way for organizations to consolidate all their data silos into a single source of truth they can query to get results fast. By providing consistently fast queries, more users analyze more data and collaborate with their peers.

Snowflake integration

VaultSpeed picks up metadata from any source and builds the integrated data model your business users need to create value from data. It seamlessly connects with Snowflake, and sends instructions to build the Snowflake ETL procedures and create a Data Vault model that suits your needs.

Snowflake architecture

The Data Vault model is delivered to Snowflake as DDL statements, which are automatically deployed into your Snowflake AI data cloud.

ETL can be delivered in multiple flavors. You could use an ETL tool such as Matillion, DBT, or Talend, but you could also deliver the ETL as Snowflake procedures.

To land the data in Snowflake we integrate with most CDC tools, such as Matillion ETL or HVR. You can also use Snowflake's Snowpipes for file structures or streaming topics.

Create workflow schedules

Use VaultSpeed’s flow management control (FMC) add-on module to ensure that all data pipelines are executed at the right time, in the right order.

Deploy and schedule your workflows in best-of-breed schedulers like Apache Airflow or Snowflake's native scheduler.

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A solid foundation for analytics and applications

First things first: to build data products, you need data. VaultSpeed helps you to get your data in the data cloud continuously.

Now you can build applications and run state-of-the-art analytics to help your business create new value or answer the complex end-to-end questions that drive better business decisions.

When specifications change, you only need to rebuild and reload your data in the analytics or application area, while the Data Vault layer safely collects and stores all the data you need.

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See it in action

Discover how to deploy your Snowflake AI data cloud faster.

Without the risk. Without the stress.