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Application Modernization for High-Volume Workloads with DataStax
Executive summary
Summary
Introduction
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The promise of application modernization DataStax Enterprise overview Solution architecture Performance results Summary Resources Appendix A

Summary

Home > Workload Solutions > Data Analytics > White Papers > Application Modernization for High-Volume Workloads with DataStax > Summary

Summary

  • Technological advances are bringing new data-capture and analysis capabilities to enterprises. But the reliance on legacy applications and outdated data models can hamper these capabilities, especially in finance and banking. Many enterprises are embracing application modernization to help them use new technologies, but they might find that relational data models are a limiting factor.

    DataStax Enterprise can help enterprises use today’s expanding datasets to provide applications with access to more data and better insights. Built on Apache Cassandra, DataStax Enterprise overcomes many of the limitations of rigid relational databases by handling various structured, semistructured, and unstructured datatypes. Also, DataStax Enterprise provides a high-performance foundation for high-velocity data consumption and retrieval that can span multiple data centers, including those data centers that are geographically dispersed.

    In this white paper, we show how DataStax Enterprise fits into the application-modernization puzzle, and how DataStax Enterprise performs in a cloud-native environment with Kubernetes platforms such as Red Hat OpenShift and VMware Tanzu Kubernetes Grid (VMware Tanzu), all running on Dell EMC PowerEdge servers.