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HVR Real-time Data Replicator
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Real-time Data Warehousing

HVR simplifies setup, data load and CDC/replication to a very large, real-time data warehouse in hours instead of weeks. HVR's log based capture feeds high volume data in real time with no additional strain on the source system. HVR supports the total data synchronisation life cycle: initial creation, loading of data, change data capture (CDC), compare / reload /refresh and decommissioning.

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Featured Demo

OLTP to Actian Vector (Vectorwise)

hvr oltp to Actian VectorVectorwise with record-breaking performance on commodity hardware is perfectly integrated with HVR. This allows lightning fast analytics on real-time data.

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Hybrid Cloud Computing

HVR’s geographic distribution capabilities facilitate seamless integration between different cloud providers and on premise applications. Extreme data compression reduces the costs based on data upload or download of the cloud provider. Besides delivering data from and to, HVR's hub can run on various IAAS platforms and is supported natively under Windows Azure and Amazons AWS.

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Enterprise Data Integration

HVR is an easy to use and flexible unified data transport platform. It seamlessly connects all dominant databases. Managed File Transfer provides centralized management and audit capabilities for scheduled and ad hoc file transfers up to terabytes.

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Featured Demo

Oracle to SQL Server Replication

hvr oracle to sql serverMany organizations experience great difficulties getting data into a SQL Server database from an Oracle database. Find out how easy it is with HVR. Read more...

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News

HVR partners with GoGrid
Partnership with GoGrid
04 June 2014
HVR has partnered with GoGrid  Read more...
HVR 4.6 Released
01 May 2014
HVR 4.6 is released, with added platforms, performance and (cloud) security features.  Read more...
HVR partners with Datastax and adds support for Cassandra
Partnership with Datastax - HVR adds support for Cassandra
18 April 2014
HVR is now eco system partner with Datastax and has added support for its enterprise implementation of Cassandra  Read more...