Pepperdata's dynamic cluster supervisor makes Hadoop work better for you. Pepperdata constantly monitors the use of CPU, RAM, network, disk, and HDFS -- per task, per node, and for the cluster overall. Pepperdata's cluster supervisor uses this information to continuously and dynamically control the use of each resource by each task.

about the company


Sean Suchter served as general manager of Microsoft's Silicon Valley Search Technology Center from 2008 to 2012. Prior to [Microsoft](/company/microsoft) Suchter ran search operations at [Yahoo](/company/yahoo). He found his way to Yahoo via the company's acquisition of [Inktomi](/company/inktomi) in 2002.

At Microsoft, Yahoo!, and Inktomi, Chad led teams using huge amounts of data to web-scale products, including social search at Bing and sponsored search ranking and optimization at Yahoo!. Before getting into web search, Chad worked on computer vision and image retrieval, earning a Ph.D. in Electrical Engineering and Computer Science from UC Berkeley. Chad also holds bachelor’s degrees in History and Electrical Engineering from Rice University.

pepperdata in the press

April 21, 2016

How an online real estate optimized its Hadoop clusters

Acquired by online real estate database company Zillow in 2014 for $3.5 billion, Trulia is one of the largest online residential real estate marketplaces around, with more than 55 million unique site visitors each month. San Francisco-based online residential real estate company Trulia lives and dies by data. To compete successfully in today's housing market, tt must deliver the most up-to-date real estate information available to its customers. Here's how it ensures consistent quality of service from its Hadoop clusters. Until recently, that meant Trulia had to intentionally underutilize its Hadoop clusters to ensure jobs completed on time.

Feb. 18, 2016

Pepperdata Achieves Latest Cloudera Certification for CDH 5.5 With Increased Support for Spark on Hadoop

With Pepperdata, companies can monitor and control their Hadoop clusters in real time, reducing the complexity of managing the clusters. Many of the world's largest companies trust Pepperdata software to make thousands of decisions a second to ensure that their applications get the performance they need. Pepperdata manages that complexity through a set-it-and-forget-it approach that eliminates manual tuning for IT and guarantees Quality of Service (QoS) levels across the entire Hadoop environment. Pepperdata actively manages Spark by seamlessly allocating the necessary resources to the highest priority jobs, maximizing the performance of a single multi-tenant cluster to deliver required QoS levels. This latest certification adds support for Spark -- in addition to HBase and MapReduce -- allowing joint customers to expand use cases across multi-workload, multi-tenant cluster environments while controlling the chaos that often ensues from such complexity on the cluster.

Jan. 21, 2016

Seasoned Sales Leader Brock Alston Joins MapD as VP, Worldwide Sales

Founded in 2013, MapD builds a big data analytics platform that can query and visualize big data up to 100x faster than other systems. MapD is excited to leverage Alston's sales and marketing strengths to introduce its revolutionary data analytics product to a worldwide audience. Alston to Lead Go-to-Market Strategy for MapD's Big Data, Analytics and Visualization PlatformSAN FRANCISCO, CA--(Marketwired - Jan 21, 2016) - MapD, the GPU-powered database and visualization platform for interactive data analytics, today announced that industry veteran Brock Alston has joined MapD as VP of Worldwide Sales. Alston comes to MapD from Pepperdata where he was VP of Sales and responsible for global field operations. We're an engineering-driven culture committed to building the fastest analytics platform and Brock's combination of sales talent and technology acumen fits our mission perfectly."