Our latest enhancement to Insights, this intuitive and interactive visualization tool allows users to better manage complex data flows, ensure latency requirements are met, data delivery is optimized, and more.
Data in flight can now be checked for accuracy. This capability merges the changes in the HVR transaction files with any detected differences, allowing users to be confident that two systems are in sync, irrespective of in-flight changes.
The freedom to replicate and integrate between more data sources and targets. You and your teams can further avoid vendor lock-in and pick the right technologies best suited for your needs.
All user interactions with HVR are now tracked to provide an easy-to-use, browser-based, graphical report as part of HVR Insights.
HVR 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:
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.
Accuracy 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.
All 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.
Whether you’re replicating your data to a data lake or data warehouse, from on-prem to the cloud, we support it.
Please contact us to learn more about our API Agent plug-in. This plug-in gives you the ability to connect to a target not listed.
