One of the common topics of debate in data management circles has been – do Big Data solutions replace traditional database solutions? The industry trends show that it will not, but instead the two will coexist and complement each other.
Following this theme of coexistence, two years ago we at Cisco shared our vision of integrating with platforms such as SAP HANA and Hadoop. As you would already know, SAP HANA is an in-memory database, built for transactional, analytical, and application logic processing while with Hadoop from the Apache software foundation is designed for large scale data management and distributed data processing that can analyze massive amounts of diverse datasets. Combing SAP HANA with Hadoop can bring new dimension to data analytics. Our new integration shows how a shared infrastructure and unified management architecture delivers simpler and scalable implementations at a lower cost of ownership.
Last year, we announced our partnership and commitment to SAP HANA Vora – an Apache Spark-based execution framework for interactive memory analytics on Hadoop. SAP HANA Vora on the Cisco UCS and ACI offers unified administration across SAP HANA and Hadoop distributions, role- and policy-based automation, full active- active redundancy, high performance and exceptional scalability needed to support growing business demands.
Today, we are happy to announce the availability of a Cisco Validated Design (CVD), Cisco UCS Integrated Infrastructure for Big Data and Cisco ACI for SAP HANA Vora, that provides step by step design guidelines that have been comprehensively tested and documented to help ensure faster, more reliable and predictable deployments at a lower total cost of ownership.