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AT&T to Move Databases and Applications Workloads to the Oracle Cloud

Oracle today announced that AT&T signed an agreement to move thousands of its large scale internal databases to Oracle’s Cloud Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Under the agreement, AT&T will migrate thousands of existing Oracle databases containing petabytes of data plus their associated applications workloads to Oracle Cloud.

The agreement gives AT&T global access to Oracle’s cloud portfolio offerings both in the public cloud and on AT&T’s Integrated Cloud. This includes Oracle’s IaaS, PaaS, Database-as-a-Service (DBaaS), and Software-as-a-Service (SaaS) which will help increase productivity, reduce IT costs and enable AT&T to gain new flexibility in how it implements SaaS applications across its global enterprise. AT&T has also agreed to implement Oracle’s Field Service Cloud (OFSC) to further optimize its scheduling and dispatching for its more than 70,000 field technicians. With OFSC, for example, AT&T will combine its existing machine learning and big data capabilities with Oracle’s technology to increase the productivity, on-time arrivals and job duration accuracy of AT&T’s field technicians.

SAP vs. Oracle Case Study

SAP and Oracle both invest heavily in cloud technology. However, our client was skeptical about cloud scalability and unsure if the products were mature and proven.

Oracle today announced that AT&T signed an agreement to move thousands of its large scale internal databases to Oracle’s Cloud Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). Under the agreement, AT&T will migrate thousands of existing Oracle databases containing petabytes of data plus their associated applications workloads to Oracle Cloud.

The agreement gives AT&T global access to Oracle’s cloud portfolio offerings both in the public cloud and on AT&T’s Integrated Cloud. This includes Oracle’s IaaS, PaaS, Database-as-a-Service (DBaaS), and Software-as-a-Service (SaaS) which will help increase productivity, reduce IT costs and enable AT&T to gain new flexibility in how it implements SaaS applications across its global enterprise. AT&T has also agreed to implement Oracle’s Field Service Cloud (OFSC) to further optimize its scheduling and dispatching for its more than 70,000 field technicians. With OFSC, for example, AT&T will combine its existing machine learning and big data capabilities with Oracle’s technology to increase the productivity, on-time arrivals and job duration accuracy of AT&T’s field technicians.

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