Cisco extends performance leadership to big data with TPC Express Benchmark HS results on Cisco UCS® Integrated Infrastructure for Big Data.
The capability to make business decisions based on massive amounts of data is increasingly important. But without objective evidence to compare big data implementations, you could be left without guidance when making purchasing decisions. By posting the first certified results ever on the new TPC Express Benchmark HS (TPCx-HS), Cisco demonstrates the real-world performance and scalability of Cisco UCS Integrated Infrastructure for Big Data (Cisco UCS Common Platform Architecture [CPA] for Big Data Version 2) for enterprise Hadoop deployments.
The new TPCx-HS benchmark was developed by the Transaction Processing Council (TPC) in response to the growing need for a vendor-neutral way to evaluate the performance and price-to-performance ratio of big data implementations. TPCxHS provides an objective measure of hardware, operating system, and commercial software distributions compatible with the Apache Hadoop Distributed File System (HDFS) API. The benchmark models continuous system availability, 24 hours a day, 7 days a week. The TPCx-HS benchmark helps assess a broad range of system topologies (including clustered and nonclustered) and implementation methodologies in a technically rigorous, directly comparable, vendor-neutral manner.
Cisco is the first vendor to publish TPCx-HS benchmark results. This achievement demonstrates not only the enterprise readiness of Cisco UCS for big data but also Cisco’s commitment to industry standards. Table 1 describes three benchmark results using Cisco UCS C240 M3 Rack Servers running Red Hat Enterprise Linux and MapR M5 Enterprise Edition.
Industry-Leading Performance with MapR
Complete Solution from Cisco
The benchmark configuration uses the Cisco UCS CPA for Big Data v2 with 16 Cisco UCS C240 M3 Rack Servers interconnected using two Cisco UCS 6296 96-Port Fabric Interconnects with embedded management using Cisco UCS Manager:
Cisco UCS Integrated Infrastructure for Big Data
Cisco UCS Integrated Infrastructure for Big Data can scale to up to 160 servers in a single Cisco UCS domain. Scale beyond 160 servers can be accomplished by interconnecting multiple Cisco UCS domains using Cisco Nexus® 7000 or 9000 Series Switches. This capability increases scalability to thousands of servers and hundreds of petabytes of storage, all managed from a single pane using Cisco UCS Central Software in a data center or distributed globally.
MapR M5 Enterprise Edition
The MapR Distribution including Apache Hadoop was the Hadoop platform used in this test. The MapR Distribution delivers the architectural innovations required to overcome the typical computing and storage bottlenecks and achieve a high level of performance.
The new TPCx-HS benchmark is designed to provide verifiable performance and price/performance metrics for big data systems. By publishing the first set of results, Cisco demonstrates the performance and price/performance ratio for real-life representative workloads, establishing a new trend in the world of performance benchmarking.
The Transaction Processing Performance Council (TPC) is a nonprofit corporation founded to define transaction processing and database benchmarks, and to disseminate objective and verifiable performance data to the industry. TPC membership includes major hardware and software companies. The performance results described in this document are derived from detailed benchmark results available as of January 8, 2015, at http://www.tpc.org/tpcx-hs/results/tpcxhs_perf_results.asp.