Spectrum Systems, Inc. today announced the general availability of the ALTOS Java Runtime Release 2.4.
Inline with our efforts to provide Spectrum’s clients with the best performance for their migrated COBOL applications, ALTOS Java Runtime now supports in-memory data cache that is based on Apache Ignite. This functionality dramatically increases performance of the most frequent database operations in converted COBOL applications. It facilitates cloud-based deployment of converted applications, and allows for efficient applications scaling and cloud resource usage optimization.
A database layer based on Apache Ignite combined with Apache Cassandra brings unprecedented performance and scalability to database-centric applications that were converted from COBOL to Java using Altos. This new technology has been tested with DMSII (Unisys) and DB/2 (IBM z/OS) migrated applications, and has shown a game-changing performance boost (by a factor of 10) with minimal tune-up efforts.
Apache Ignite In-Memory Data Fabric is a high-performance, integrated and distributed in-memory platform for computing and transacting on large-scale data sets in real-time (https://ignite.apache.org/). It supports cloud-based deployment strategies and provides jclouds integration out of the box. Ignite also supports native integration with Apache Spark and Hadoop, making it easy to use the migrated applications on large-scale data and analytics projects.
Apache Ignite is a mature technology with extensive community and commercial support, making it easy to find qualified resources and system integration providers.
“The performance and scalability improvements for converted database-centric applications that this Runtime release provides are nothing short of astonishing", says Yuri Rabinovitch, the CEO of Spectrum Systems. He adds: "This, together with the ease of deploying converted applications in cloud environments, is what our large enterprise clients requested, and what our product now provides"
ALTOS Java Runtime Release 2.4 is available immediately.