Oracle Database vs. Oracle TimesTen vs. SQL Server Data Access Components vs. Swan Data Migration Comparison Chart

Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning.

Our state-of-the-art data migration tool is specially designed to effectively convert and migrate data from outdated legacy applications to advanced systems and frameworks with advanced data validation mechanisms and real-time reporting. Too often in the data migration process, data is lost or corrupted. When transferring information from old legacy systems to new advanced systems, the process is complex and time-consuming. Cutting corners or attempting to integrate the data without the proper tools may seem appealing, but often results in costly and drawn-out exercises of frustration. For organizations such as State Agencies, the risk is simply too high, not to get it right the first time. This is the most challenging phase, and one many organizations fail to get right. A good data migration project is built on the foundation of the initial design. This is where you will design and hand-code the rules of the project to handle different data according to your specifications.