Cloud Data Integration
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Real-Time 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 (hybrid cloud)
- Data between multiple databases in the same cloud solution (intra-cloud)
- Data between two separate cloud solutions (inter-cloud)
“HVR has proven its stability and robustness. HVR guarantees secure delivery of all our data. These aspects are even more important in running operations based on cloud solutions.”
– PostNL, HVR Cloud Data Integration Customer
HVR CTO Mark Van de Wiel and Matt Aslett of 451 Research discuss how cloud adoption coupled with a continuous data integration strategy can lead to greater business agility.
Bi-Directional Data Movement for 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: , , and .
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.
On-Prem to Cloud
Intra-Cloud Integration
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.
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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.
Supported Cloud Platforms
HVR can be installed on the following Cloud Platforms:
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.
Interested in Hybrid Cloud Data Integration? Get The Best Practice Guide
Hybrid Cloud Best Practice Guide
Why Hybrid?
Organizations often adopt a 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. IT must perform considerable testing to ensure that the newer cloud technology has similar or better performance than the existing on-premises systems. They must complete further testing to ensure everything works properly after the migration. Integrations will need to be rewritten to work with the new system. Depending on the criticality of the system, organizations may also need a fallback.
Data Integration in Hybrid Environments
While all this testing and reworking takes place, the organization can implement a hybrid cloud as it gradually moves from the on-premises to the cloud solution. An essential step that enables an organization to complete a hybrid cloud deployment for all data-centric systems is data integration. Data integration is necessary for master data management, reporting and consolidation, and synchronizing data across multiple systems.
As your business considers hybrid cloud strategy, it is important to consider a data integration strategy that will address these challenges. This guide includes six best practices that will ensure a smooth data integration that effectively delivers high performance, security, and availability across all heterogeneous data sources.
Want to learn more about Hybrid Cloud Data Integration?
PostNL Uses HVR to operate 100% in the Cloud
Case Study
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.
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
Want to learn more about how PostNL uses HVR?
