Pepperdata Provides Quality of Service for Customers Integrating Apache Hadoop, Spark, Real-Time Database Capabilities, and Event Streaming in Single Cluster Environments
CUPERTINO, California—(Marketwired – May 3, 2016) – Pepperdata (pepperdata.com), the world’s experts in the performance of distributed systems at scale, announced today certification with the MapR Converged Data Platform, the industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage. Pepperdata software and the MapR Converged Data Platform interoperate seamlessly and enable joint customers to meet big data business objectives and address new use cases across multi-tenant, multi-workload clusters, all while managing the chaos that typically ensues in these complex environments.
When enterprises combine Hadoop, Spark and other big data technologies it can result in a chaotic cluster environment and performance issues often arise from significant resource contention. Pepperdata software actively governs and guarantees consistent performance and Quality of Service (QoS) across the entire Hadoop environment, allowing enterprises to realize more value from distributed infrastructures. Pepperdata’s Adaptive Performance Core™ uses real-time processing to observe and reshape application usage of CPU, RAM, network, and disk to prevent bottlenecks, maximize cluster utilization.
“Simultaneous use of a cluster by many different users and applications creates an unstable environment as jobs compete for system resources. Not only do existing applications run slower, adding new workloads becomes even more problematic and can cause costly application slowdowns,” said Ed Colonna, vice president of marketing and business development at Pepperdata. “For users looking to process distributed files, tables, and event streams together on one cluster, the MapR Platform combined with Pepperdata provides a high-performance solution with Quality of Service capabilities. We’re very pleased to complete the certification process with MapR so customers can confidently deploy our joint solution and meet their big data business objectives.”
“Building a highly reliable, high-performance cluster running a variety of applications takes significant engineering effort. As a workaround, many companies are opting to stand up separate clusters to run multiple applications on Hadoop and to explore new use cases with Spark,” said Sheryl Sage, director, Alliances at MapR. “The MapR platform is uniquely built to support both operational and analytical apps running on the same cluster. Now, with Pepperdata certified on MapR, customers can confidently provide Quality of Service for any number of applications in production environments.”
Product certification is a benefit of the MapR Technology Alliance Partner program and makes it easy for customers to identify partner products certified to work with MapR. Customers can use these products and solutions to lower project risks and realize cost savings over custom built solutions. With hundreds of members worldwide, the MapR Technology Alliance Partner program includes best-of-breed partners with the shared commitment to bring the best expertise and business solution for each unique customer need.
The MapR Converged Data Platform ensures production success with an architecture designed specifically for business-critical applications, seamless data access and integration, and the ability to run in real-time both operational and analytical processing and applications reliably on one platform.
About MapR Technologies
MapR provides the industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures. Connect with MapR on LinkedIn, and Twitter.
Pepperdata develops software that governs and guarantees consistent, peak performance of Hadoop clusters from hundreds to thousands of nodes. Enterprises, from Fortune 500 companies to SMBs, trust Pepperdata to deliver transparency and control over distributed systems and eliminate blind spots in Hadoop environments. Pepperdata provides the only solution that can anticipate and avert cluster performance issues at both the user and job level to create order out of the chaos inherent in distributed computing. Its Adaptive Performance Core™ captures and processes second-by-second performance data to reshape application usage of CPU, RAM, network, and disk without user intervention, to ensure jobs complete on time. Pepperdata software dynamically prevents bottlenecks in multi-tenant, multi-workload clusters so that numerous users and jobs can run reliably on a single cluster at maximum utilization, increasing throughput by 30 to 50 percent. Job performance is enforced based on user-defined priorities and current cluster conditions, eliminating fatal contention for hardware resources and the need for workload isolation. The software also precisely pinpoints where problems are occurring so that IT teams can quickly identify and fix troublesome jobs. By capturing global knowledge of each cluster and controlling processes in real time to deliver Quality of Service, the software reclaims control over unpredictable cluster environments so that enterprises can realize untapped value from existing distributed infrastructures. The software installs in under an hour, runs on existing clusters, and is compatible with all major Hadoop distributions. With Pepperdata, enterprises can realize untapped value from existing distributed infrastructures and finally apply big data to more use cases to meet business objectives.