AWS Data Integration

Continuously integrate high volumes of data from a variety of data sources onto AWS

Amazon RDS     |     Amazon S3     |     Amazon EMR     |     Amazon Redshift     |     Amazon EC2     |     Amazon Aurora

Some of our systems are very busy. A table might have 8 million total records and make one million updates on top of that… With HVR moving data into the (S3) data lake, we can now keep track of everything and we’re not forced to delete anything. Our source systems can’t keep all these historical changes, but the data lake can.– HVR Supply and Logistics Customer




  • Seamlessly migrate high volumes of data from on-premise or hybrid cloud environment to AWS
  • Do it with little to no downtime
  • Ensure data accuracy with our Data Compare function

Data Lake Consolidation

  • Consolidate data from tens to hundreds of databases onto your AWS platform
  • Guarantee fast, efficient, delivery of data
  • Ensure data accuracy and speed with Data Compare and Insights feature

Real-Time Analytics

  • Meet SLAs with efficient data delivery using Log-based CDC
  • Integrate high volumes of data from a variety of on-premises and cloud platforms
  • Data Compare and Insights feature help you manage fast and accurate data

Driving business value with fresh data

Live from theCUBE at AWS re:Invent 2020

To reach the goal of becoming a 100% data-driven organization, the Logitech team started by adopting AWS. But they still needed a flexible tool to consolidate billions of rows of data and ERP transactions into AWS.

At AWS re:Invent 2020, HVR customer Avi Deshpande, Head of Architecture at Logitech and Anthony Brooks-Williams, CEO of HVR, sat down with the host of theCUBE to discuss how HVR implemented a solution to replicate its ERP data into Snowflake in the AWS, so it’s available for business consumption and analysis in real-time.

With access to real-time data and analytics, Logitech can drive value through the core of its business and co-brands.

Anthony Brooks-Williams, CEO of HVR
Avi Deshpande, Head of Architecture at Logitech

Keith Townsend, Guest Host of theCUBE

HVR and Snowflake — Partners in the AWS Cloud

Live from theCUBE at AWS re:Invent 2019

At AWS re:Invent 2019, HVR Partner, Chris Degan of Snowflake, and HVR CEO, Anthony Brooks-Williams, sat down with the hosts of theCUBE for a live chat about data movement, AWS, real-time analytics, and more.

Chris Degan, CRO, Snowflake
Anthony Brooks-Williams, CEO, HVR

Lisa Martin
Dave Vellante

Why HVR for AWS hybrid cloud?

Flexible architecture

  • HVR runs in a distributed architecture
  • Easy to set-up and deploy
  • Supports diverse topologies, including bi-directional
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  • In hybrid scenarios, you get the ability to use proxies to shield source databases from direct access from outside the firewall
  • Encryption mode can be enabled as data moves
  • HVR offers HVR KMS support


  • Log-based CDC is a fast and efficient way to move high data volumes across the wire
  • Proprietary compression algorithm further compresses data
  • Deploy from one source to many targets

HVR customers integrating data to the AWS Cloud

What exactly is hybrid cloud?

The term “hybrid cloud” refers to two types of deployments. Hybrid clouds can consist of multiple cloud-based solutions from one or more cloud vendors. Alternatively, cloud solutions can be combined with on-premise systems.

Organizations often adopt an Amazon Hybrid Cloud strategy because fully migrating to the cloud can be a lengthy process that requires careful planning and deliberation to avoid impacting the business. HVR is a heterogeneous “all-in-one” box data integration solution, therefore organizations can securely and efficiently integrate high volumes of data into a hybrid cloud environment.

Customer stories and other resources

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