HVR 5.7 — Multi-Cloud Release

Technology is the engine of digital transformation, data is the fuel, process is the guidance system, and organizational change capability is the landing gear. You need them all, and they must function well together.​​Thomas Davenport, Harvard Business Review

HVR 5.7 introduces support for an encryption wallet, which is software-based and leverages AWS’s Key Management Service (KMS). Through the encryption key stored in the wallet, HVR will encrypt secret and confidential data as it flows through the channels. Secret data includes passwords and other credentials such as access keys. Confidential data is any of your applications’ data.

The encryption wallet feature follows industry best practices for management including support for key rotation. To decrypt any encrypted data the wallet must be opened, with support for auto-open, password protection, or opening the wallet through a plugin.

Combined with the existing network encryption feature, HVR 5.7 now provides end-to-end encryption of your data as it is replicated by HVR.

The Snowflake cloud data platform is one of the most popular destinations for HVR data replication. To streamline deployments into Snowflake, HVR 5.7 delivers several enhancements, including:

• Support for internal staging. This enhancement eliminates the need for customers to provide their own staging through AWS S3, Azure Blob Storage or GCS, yet still, optimum data throughput is achieved.
• Improvements to the data delivery into Snowflake, resulting in less need to perform metadata queries, achieving better performance.
• Support for Snowflake on GCP, with staging through GCS.

GCP is ranked the number three cloud platform behind Amazon Web Services (AWS), and Microsoft’s Azure, growing rapidly thanks to new leadership and – thanks to its own experiences – an edge in Machine Learning and Artificial Intelligence (ML and AI).

In addition to Google BigQuery, HVR 5.7 enables customers to adopt the following GCP technologies:

	Google Cloud SQL – MySQL, as source or target
	Google Cloud SQL – PostgreSQL, as target
	Google Cloud Storage (GCS), as source or target for files
	Replicating data to/from any HVR supported technologies running on a Google Compute Engine is also supported.

Source and target

• Oracle 19c
• SQL Server 2019
• PostgreSQL 11 and 12, and respective AWS RDS and Aurora versions
• DB2 z/OS 12
• Azure Data Lake Store (ADLS) Gen2 (source for file replication)

Target only

• Kafka, including support for Cloudera schema registry