As cloud solutions mature, many enterprises are moving to the cloud to eliminate capital expenditures, reduce risk, and more efficiently scale their operational IT requirements. One of the benefits of cloud computing is the ability to scale up or down based on business need. Organizations only pay for the actual data usage and can forego any additional unused storage with legacy solutions such as relational databases.
This allows organizations to take advantage of new data sources, try new architectures (cloud-only, hybrid approach, multi-cloud), and even new business opportunities without making huge commitments on infrastructure. To fully leverage the cloud, companies need the ability to combine and connect data from cloud applications with legacy applications, as well as Big Data, and Internet of Things (IoT). Companies should also be able to streamline, transform, federate, and virtualize, in a unified architecture. However, real-time data exchange between the cloud and on-premise applications requires enormous amounts of custom coding and entails real risks of failure using multiple traditional legacy integration tools.
To learn more in-depth about the cloud data integration benefits, download this one-pager.
High Performance Data Synchronization
Stone Bond’s Cloud Integration (Enterprise Enabler®) is a single data integration and data virtualization platform in the public cloud (AWS and Azure) offerings. Facilitating organizations of all sizes to implement the desired data architecture (cloud-only, hybrid approach, multi-cloud) it makes it easier to integrate with other cloud data applications and different traditional data sources that aren’t in the cloud.
EE’s data virtualization capabilities do not copy or replicate the data; the data remains in its original data sources and is retrieved, combined, and transformed in real-time.
To learn more about the specific AWS solution options, please click here.
Enterprise Enabler (EE) in the public cloud has the same Data virtualization and Agile ETL™ technology that enables organizations to quickly & easily make data available to users.
Cloud data integration use cases
Here are four simple use cases of when it’s appropriate to apply cloud data integration. Hover over each for more details.
A couple of things to consider before partially or fully migrating to the cloud
- Where is the bulk of your data being moved to; private or public cloud? If the public cloud, are you moving to AWS or Azure? If so, then deploying EE 10 in AWS or Azure makes sense. Let us know if you need help with the setup.
Do you currently have fragmented or scattered data sources in the cloud or on-premise that you would like to bring together in the same environment? Our AWS and Azure offerings have the same functionalities as out EE 10 enterprise solution: Data Virtualization, Agile ETL, Visual Query Builder, Workflow (Process Designer), Virtual Web Services (APIs), Fast Virtualization, and IIM Notification Manager