Cloud Data Integration

Cloud Data Integration: Reduce latency and accelerate data movement within your cloud environments

Looking to integrate data into or within the cloud? Organizations often employ our solution for migrating and integrating:

  • Data stores from on-premises solutions to a new cloud platform
  • Data between multiple databases in the same cloud solution
  • Data between two separate cloud solutions

Supported Cloud Platforms

HVR can be installed on the following Cloud Platforms:

azure cloud integration

HVR has proven its stability and robustness. It keeps on running and running with minimal maintenance effort. HVR guarantees secure delivery of all our data. These aspects are even more important in running operations based on cloud solutions.
PostNL

HVR also supports supported databases and file systems running on an IAAS / PAAS environment, including (virtualized) environments provided by the cloud vendor. These environments include Oracle Cloud IaaS and Google Cloud IaaS.

 

Bi-Directional Data Movement and Continuous Cloud Data Integrations

HVR allows you to move your data bi-directionally as you integrate data between on-premises solutions and the cloud. You can move high volumes of data with minimal latency and impact on database performance with our log-based change data capture feature.

With HVR, you get a complete solution for successful and continuous cloud data integrations: Table Creation and Initial LoadChange Data CaptureData Validation and Repair, and Automated Reporting and Monitoring.

With HVR, you can:

  • Reduce latency
  • Accelerate data movement
  • Ensure data is updated in real-time

By using HVR for cloud data integration, you gain support for all of your real-time cloud data integration scenarios with a single set-up.

Examples of Cloud Data Integration Using HVR

On-Prem to Cloud

On-Prem to Cloud

Intra-Cloud Integration

Intra-Cloud Integration

PostNL Uses HVR to operate 100% in the Cloud

An early adopter of cloud-based data services, PostNL migrated their entire IT infrastructure to the Azure cloud using HVR.

Step 1: Migrate to the Cloud

PostNL strives to deliver logistics services at a low cost. To maintain its competitive edge, the company decided to commoditize its infrastructure and applications by decommissioning its on-premises data centers and moving its IT operations to the cloud. PostNL wanted to migrate not only its existing applications, which run on Oracle and SQL Server, but also its infrastructure and IT management and operations to the new platform.

HVR’s unique approach greatly simplified PostNL’s migration process.  HVR enabled PostNL to implement a “lift and shift” approach. With HVR installed on each data platform, PostNL could simply move each database to the cloud and then redefine its location in HVR without having to alter the application. This approach meant it was easy to move applications to the cloud one-by-one while maintaining existing integrations.

Step 2: Continuous Cloud Integration

Once applications were in the cloud, PostNL needed to integrate across cloud platforms. To address this challenge, PostNL deployed a cloud-based HVR integration service. Adopted in the summer of 2014, this service operates as a cloud integration hub for PostNL, connecting all of its cloud-based solutions.

Download the Case Study to Learn More.

Migrate to the cloud

 

 

A Flexible Solution for Your Common Cloud Data Integration Scenarios

HVR is a solution with a distributed architecture that can maintain the state of every replication channel and route data from one or more sources to one or more targets in unidirectional, bidirectional, or multidirectional setups. HVR is a flexible cloud data integration solution that provides:

High Performance

As your organization moves applications from your on-premises data centers to the cloud, you must continue to deliver the same high performance your users have come to expect. Yet the cloud environment is subject to network communications issues that can cause performance and latency problems. These issues are compounded when uncompressed data volumes are large or arrive rapid-fire and must be integrated quickly. To address these issues, HVR  includes capabilities that improves performance. These capabilities include replicating only incremental changes in a non-invasive manner to minimize the load on sources and targets. HVR  also minimizes network bandwidth utilization by providing advanced data compression based on proprietary algorithms and specific knowledge of data structures. HVR achieves compression ratios of more than 90 percent.

Security

Because public clouds are multi-tenant, they require added security to keep client data segregated and secure. Data protection should be an integral part of any cloud data integration solution. HVR incorporates data encryption on the wire to safeguard against eavesdropping and authentication to guard against the misuse of services. Support for two-way SSL encryption ensures that data delivery will not be compromised and that source and target data are authentic.

Want to see for yourself? Request a Trial.

Reliability

Data integration services need to be able to handle cloud outages, maintain integrity, and resume without manual intervention. HVR addresses these issues through two mechanisms. One with backup metadata. And the other mechanism is the primary hub and the backup hub, which shares a disk to make the transaction and state files available on the failover server.

Ease of Set-Up and Management

Data integration should be easy to set-up and manage. HVR offers a GUI-driven management console with context-sensitive online help can minimize the costs of system administration. HVR supports the entire data integration lifecycle from initial/batch loading to change data capture, and as a result, reduces both initial purchase and ongoing training costs.
Automation can further speed and simplify administration; for example, HVR automatically generates DDL to set up a target database schema based on the data source that takes into consideration any required transformations.
Such an automated system enables administrators to configure maintenance tasks for lights-out management. Automated online data load and validation functionality ensure that heterogeneous source and target systems continuously remain in sync.

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