Oracle Cloud Adapters simplify integration between Cloud and on-premise applications

Organizations need to be able to quickly, easily and efficiently integrate their on-premises business applications with new Software as a Service (SaaS) cloud applications. Addressing this challenge without the complexity of adding a disparate niche cloud integration platform has been a concern. With the introduction of Oracle Cloud Adapter for Salesforce.com, Oracle has delivered a single integration platform to unify cloud and on-premises applications.

Monday, 20th January 2014 Posted 10 years ago in by Phil Alsop

Building on its 300+ standards-based integration adapters, Oracle announced Oracle Cloud Adapters to help organizations easily integrate applications regardless of deployment location – in the cloud or on-premise.

Oracle Cloud Adapters are supported by Oracle SOA Suite, the industry’s most complete and unified application integration solution, and help customers integrate with cloud applications.

This unified integration approach between on-premises and cloud applications reduces the time, cost and complexity of application integration projects. It helps customers lower total cost of ownership by simplifying integration, consolidating toolkits and reducing maintenance costs.

Oracle Cloud Adapters minimize challenges often associated with session management, resulting in improved performance and increased efficiency.

To securely exchange data between Oracle SOA Suite and Salesforce.com, Oracle Cloud Adapter for Salesforce.com leverages the Credential Store Framework, which prevents confidential credentials from being exchanged over the network.

Oracle Cloud Adapter for Salesforce.com simplifies cloud integration, reducing manual integration processes and maintenance costs by introducing a standardized wizard-based solution for integrating applications, whether in the cloud or on-premises.

By dramatically reducing the number of manual and customized steps with Oracle Cloud Adapter for Salesforce.com, integration development time can be reduced by half when compared to traditional methods.