Introducing HVR 5.6: Cloud Connectivity Release
Summer is upon us and its peak travel time. For all of us familiar with road trips and air travel, we all want to get to our destinations quickly, with minimal discomfort, and with no lost bags, safely and securely.
When we, as individuals expect speed, agility and security—why should our expectations from data movement driving entire businesses be any different?—they shouldn’t and in fact, they aren’t. Our customers are driving innovation in their business each day by making all of their decisions data-driven, it’s their journey to success. At HVR we are making sure their data travels to their destinations safe (data integrity), quick (lowest latency), securely (data security) with no risk. In our journey to support our customers’ success, HVR has reached a milestone this summer – v5.6 our “Cloud Connectivity” release is now generally available.
The first general availability release for 2019 comes packed with features. Befitting the contents of the release we will refer to this new release as the Cloud Connectivity release. With every release, we attempt to add new source database platform capture support, new destination endpoints, adding scalability and performance enhancements, along with making HVR easy to use, administer and deploy. This release is no different. Here is a subset of new features introduced with v5.6 and a more elaborate list can be found in our release notes section of HVR documentation.
Our customers want to move data from legacy application databases (OLTP databases) to the cloud and you can now operationalize your HVR deployment through actionable insights with the brand new Topology views of all source/target locations, with clear and actionable visual advice on transaction volume, latency values on the capture side, latency on the integrate side, filtering by locations, channels, interactive latency SLA settings, etc.
- HVR Insights – Audit Trail:
As users interact with HVR, create a lineage of user activities, persist historical information to use for future scheduling of large table refreshes or compares, identify if capture/integrate jobs were started or stopped by a user, identify a production channel has been re-initialized, identify if a channel definition has been changed etc – through this robust event-system based audit trail.
- Event-Driven Compare:
Take the guesswork out of the questions like—Are your source and target databases under replication in sync or not? What is the status of that row-by-row compare of 30 million row table between on-prem SQL Server database to S3? How much throughput were you able to achieve with this compare?…etc. Introducing event-system based compare for better insights, better manageability for multi-slice compares, and even efficient recoverability of large table compares.
- Live Compare:
With HVR v5.6 you will never have to interrupt replication to verify if your source and target databases are in sync or not. Live Compare built on top of the new event system is available in two modes: two pass compare and merge compare. Refer to our documentation for more information on how you could utilize these two modes.
DB2 on Mainframe: For years, there has been chatter about mainframes being deprecated, but when one billion dollar plus transactions are processed on this platform each day, rip and replace isn’t easy. Many of our financial technology customers process millions of credit/loan/transactions per day on this old but strong workhorse and true to our mission we are committed to unlocking the value of the data in this platform. With v5.6 DB2 v11 is supported as a source with minimal to zero impact to MIPS consumption. HVR initiates the IFI 306 interface to capture transaction records and processing them on a remote Linux host where HVR hub would process the table enrollment and ready the records for real-time integration into any cloud or on-prem destinations like S3, ADLS, Kafka, Snowflake etc. We are introducing this platform in beta phase as a couple of our customers are testing with us.
Aurora Postgres: For customers looking to adopt AWS as their enterprise platform, specifically Aurora Postgres, great news from HVR. You can now migrate with zero downtime from your on-premises database systems, minimize risk in case you need to failback, or integrate from newly implemented Aurora Postgres databases back into your on-premises data warehouse. HVR uses Aurora Postgres’ newly released replication slots to capture transaction records, combine that with HVR’s built-in compression and encryption, your barriers to adopting Aurora Postgres (or Aurora MySQL from previous HVR release) are no longer preventing your journey to the cloud
We have a load of new version support for already supported sources like Oracle 18c, MySQL 8.0, Maria DB 10.3, Log Miner support to RAC, etc please refer to release notes
New Target Platforms:
- Snowflake on Azure: Snowflake has kicked up a storm in how customers perceive their future investment into data warehousing. No longer do customers have to plan long arduous procurement cycles for expensive hardware, software, administration, infrastructure, and data center costs to kick start new and exciting analytics initiatives.
- Azure Blob Storage: With v5.6, HVR supports Azure Blob Storage natively for faster and secure data lake creation inside of Azure Blob Storage (along with previously supported AWS S3, ADLS, Kafka, Hadoop FS, etc)
- Also included: MapR, Hive 3.0, Azure HD Insights, etc.
In addition to these notable features, we implemented many performance improvements and usability improvements for customers using DB2, SAP HANA platforms, etc, be sure to look review our release notes.
If you want to chat with me about these or any other enhancements, I welcome a conversation, please feel free to “@” me on Linkedin.