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© Copyright 2019. All Rights Reserved. HVR Software.

HVR 5.6Cloud Connectivity

Release

The multi or hybrid cloud strategy forces organizations to make technology selections based on heterogeneous cross-cloud support versus locking in with one cloud vendor. Managing data across multiple locations adds complexity to integration scenarios especially as data becomes increasingly critical to business operations.

WHY CLOUD?

Cloud-based services are increasingly in demand. According to Forrester, nearly 60% of North American enterprises now rely on public cloud services.

In fact, Gartner projects the cloud services industry to grow at almost three times that of all IT services between now and 2022.

And during that time, over 75% of midsize and large organizations will have adopted a multi-cloud or hybrid cloud strategy.

Other IT Services vs. Cloud Services

75%Future

Enterprises

60%Current

Enterprises

What’s Included?The latest version of HVR simplifies the complexities associated with disparate multi and hybrid cloud deployments. Data architects and DBAs get greater manageability and control of data flows. As well as more choice in where data is integrated to and replicated from.

UPDATES INCLUDE:

1. Visual enhancements to Insights, HVR’s visual monitoring feature, which

include topology charts and reports

2. Significant enhancements to data validation capabilities

3. Support for new data platforms, several being cloud-only

4. Audit capabilities for all user interactions with HVR

hvr-software.com | info@hvr-software.com | 135 Main Street, Suite 850, San Francisco, CA 94105

© Copyright 2019. All Rights Reserved. HVR Software.

Topology Graphs―an enhanced Insights featureHVR customers are already consolidating and integrating data from dozens of organization-wide sources. Now, you can get a quick and meaningful visual of multiple sources to target data flows while getting an overview of key performance metrics such as latency and data volumes.

This new feature, referred to as topology, uses intuitive visual elements to provide multiple key attributes of every data flow in a single overview, including:

Direction of the data flow or channel

Relative number of tables being replicated per node

Indication of latency, split between Change Data Capture (CDC) and integration

Indication of whether latency thresholds are exceeded, again split by capture and integration

Topology provides you with live call-out reports giving you deeper insights on your data movement, as well as drilling down into the historical metrics per data flow/channel.

Live CompareAccuracy builds trust in the data used for analytics and reporting. The built-in HVR feature, Compare, allows you to verify data is in sync and alerts you if there is a problem. The latest version of HVR takes Compare to the next level of measuring data accuracy with live compare and broader functionality:

1. Live Compare: Merge the changes in the HVR transaction files with any detected differences based on selecting the data from either side of the data flow. You can then give an exact answer on whether two systems are in sync, irrespective of in-flight changes.

2. Live Compare using a two-pass approach: Used to validate if databases are in sync or not, regardless if they are being replicated with HVR or any other replication tool.

3. File Compare: Perform a direct reading of the files instead of relying on Hive external tables to retrieve the data. This new approach no longer requires implicit data rounding and truncation as part of coercion and is more scalable than the existing approach using Hive. This also saves the cost of running Hive in the cloud.

hvr-software.com | info@hvr-software.com | 135 Main Street, Suite 850, San Francisco, CA 94105

© Copyright 2019. All Rights Reserved. HVR Software.

User AuditAll user interactions with HVR are now tracked to provide an easy-to-use, browser-based, graphical report as part of HVR Insights.

This feature facilitates configuration management to keep track of changes made to the setup. Complex environments need this tracking to match change requests with configuration changes, which is a must-have requirement for certain use cases (e.g. compliance for financial reporting).

Every new HVR release introduces countless small improvements. Please check the release notes for full details.

New and Extended Support:

SOURCESAurora PostgreSQL: HVR now supports Log-based CDC from this platform as a source

DB2 on z/OS: DB2 running on the mainframe (z/OS) is now supported as a source for Log-based CDC

Also included is updated support for the latest GA versions of database technologies including Oracle, MySQL, and MariaDB

TARGETSSnowflake on Azure

Azure BLOB storage is now supported for all supported file types including Parquet, JSON, Avro, CSV and others, with lots of options to fine tune the formatting

Azure HDInsight support for Hive tables

Oracle’s cloud-based Autonomous Data Warehouse (ADW)

Also supported: Hive 3.0, Map-R, and Cloudera and Hortonworks distributions of Hadoop

We accelerate data movement so that you can revolutionize your business. HVR is designed to move large

volumes of data FAST and efficiently in modern environments for continuous real-time updates.

Our goal is to keep your data moving and in sync as you adopt new technologies for storing, streaming,

and analyzing data. Our scalable solution gives you everything you need for efficient data replication from

beginning to end so that you can readily revolutionize your business for the modern world.

ABOUTHVR

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