The Most Secure Data Warehouse for Sensitive Data
Flexibility and security
Organizations of all types must endure a host of barriers due to legacy data warehouse technology. The result? They’re unable to deliver all the insight from all their data to all their users. Moving to a built-for-the-cloud data warehouse architecture can solve these problems. But industries with sensitive data – financial services, healthcare, government and many more – must also satisfy significant security and regulatory requirements with the highest data protection available.
With Virtual Private Snowflake (VPS), the most secure edition of Snowflake, organizations with sensitive data get the unlimited resources of the cloud, while realizing the highest level of security for their data. VPS enables:
Data security and control
Features such as Tri-Secret Secure and encryption everywhere provide complete control and protection over all your data, all the time.
Snowflake is available in multiple cloud providers, giving you the ability to choose the cloud that works best for you.
Isolation for regulatory compliance
Virtual Private Snowflake offers a dedicated Snowflake instance for any organization that requires the highest level of security.
Security is baked into Snowflake. Read this white paper to understand the revolutionary architecture of the most secure data warehouse for sensitive data.
Snowflake for sensitive data
Understand how Snowflake's newest edition, VPS, is designed to address the security and regulator requirements that organizations with sensitive data must satisfy.
Virtual Private Snowflake
All the security, flexibility, performance and scalability of Snowflake now in a dedicated Amazon Virtual Private Cloud (VPC).
Financial Services: Welcome to Virtual Private Snowflake
Correct, consistent data is the lifeblood of the financial services industry. If your data is correct and consistent, it’s valuable.
We are an early adopter of Virtual Private Snowflake because it gives us the ability to process data at lightning fast speed and deliver automated, intelligent solutions to our customers in real time.
– Linda Apsley, Vice President of Data Engineering, Capital One