SOURCE: ParStream


October 14, 2014 09:07 ET

ParStream Unveils the First Analytics Platform Built for the Internet of Things

ParStream's Analytics Platform Delivers Real-Time Global Insights for IoT

CHICAGO, IL--(Marketwired - Oct 14, 2014) - INTERNET OF THINGS WORLD FORUM -- ParStream, the IoT analytics platform company, today introduced the industry's first analytics platform purpose-built for the speed and scale of the Internet of Things (IoT). Enabling an entirely new breed of analytics for the enterprise, the ParStream Analytics Platform is designed to easily scale to handle the massive volumes and high velocity of IoT data. The platform will help companies generate timely, actionable insights from IoT data by providing more innovative and efficient ways to analyze that data -- faster, with greater flexibility and closer to the source.

Data is coming at us faster than ever. With more than two exabytes of data generated every single day, legacy database and analytics tools fall short of the new IoT requirements for speed and scale. The ParStream Analytics Platform uniquely queries at the source of data for real-time analysis as data is being loaded. The platform provides unified analytics of real-time data in every query and generates more accurate insights for decision-makers with the continuous import of new data.

Designed to enable businesses to more quickly analyze volumes of data, the analytics platform is powered by ParStream DB at its core. The company's patented database has consistently been recognized for industry-leading performance with sub-second query response times in analyzing billions of rows of data. ParStream DB can analyze massive amounts of real-time streaming data as well as historical data.

In addition to ParStream DB, the ParStream Analytics Platform includes:

  • Geo-Distributed Analytics to empower users to generate worldwide insights with remote data analysis and to qualify and resolve issues globally. Via ParStream's Geo-Distributed Analytics Server, the querying engine enables local real-time analytics and storage close to the data source.
  • Time Series Analytics to enable enterprises to quickly analyze fast streaming data together with massive amounts of historical data.
  • Alerts & Actions to monitor data streams, create and qualify alerts, and appropriately execute actions automatically or send notifications.
  • Advanced Analytics to derive models and hypothesis from huge amounts of data by applying statistical functions and analytical models. ParStream DB integrates with Knime, statistical libraries like R, and other machine learning engines.
  • Visualization Connect to enable the seamless integration of Datawatch, a leading visualization tool for IoT analytics.
  • Stream Connect/ETL Connect for the high-velocity ingestion needs of IoT, closely integrated with Informatica's industry-leading collection tool, Vibe.

Companies using the ParStream Analytics Platform can expect to roll out IoT applications twice as fast versus integrating components in-house from different vendors. Additionally, it is estimated that users will require 30 percent less resources for testing and supporting applications, because the components are proven, fully tested, integrated and ready to address the needs of IoT.

Leading organizations worldwide, including Mpreis, Cake Marketing and INRA, use ParStream to derive significant business value from their data. ParStream delivers its real-time analytics platform for a variety of industries, including manufacturing, supply chain and telecommunications.

The ParStream Analytics Platform is available immediately. Geo-Distributed Analytics is currently available in limited production. To learn more about the ParStream Analytics Platform and related products, visit

Supporting Quotes
"The Internet of Things (IoT) is one of the most important developments shaping our company and our industry," said Dr. Sven Scheuble Siemens Vice President and Head of Siemens Technology to Business. "As many of us understand, the value of IoT will be in gaining timely, valuable insights from all of the data being generated by sensors, etc. ParStream's analytics database is a great fit for the speed and scale of IoT and is exactly the type of technology that can be the difference between big data and smart data driving business value."

"Informatica (NASDAQ: INFA) is a leader in applying complex data management for real-time and batch workloads across a variety of source and target systems," said Jitesh Ghai, Vice President of Product Management at Informatica. "These data management capabilities are essential for the applications being built for the Internet of Things. ParStream's analytics platform -- coupled with Informatica's core capabilities in data collection, transformation and analysis, both in real-time and batch -- serve as a compelling platform for IoT applications. The combined solution will enable users to deliver on the tremendous potential of IoT."

"Scalability, agility and flexibility are key attributes of any enabling and supporting technologies for IoT," said Emil Berthelsen, Principal Analyst for Machina Research, a global advisor on the IoT, Big Data and M2M. "With the launch of ParStream's analytics platform for IoT, Machina Research recognizes huge opportunities and advantages for enterprises looking to leverage the untapped potential in fast and big data analytics. One very exciting feature of ParStream's new platform is that of geo-distributed analytics, bringing processing to the edge, and further accelerating near real-time analytics."

"New advances in low cost sensor devices and their associated data streams are rapidly becoming a big source of differentiation for industrial organizations that can effectively harness this information for more meaningful and timely decisions," said Ben Plummer, Chief Marketing Officer and Senior Vice President of Strategic Alliances for Datawatch Corporation. "Traditional BI and analytic approaches will not be sufficient in an era of high speed, high volume data streams -- and this is where ParStream's analytics platform together with Datawatch's visualization capabilities provide a complete solution for IoT applications."

"As IoT shapes the future of analytics, data is getting bigger, arriving faster and generated by a growing number of remote data sources across the globe," said Peter Jensen, CEO at ParStream. "Today's legacy database and analytics tools were not designed for IoT, constraining business leaders and preventing them from maximizing the value of their data. We've engineered an analytics platform specifically for IoT, providing today's decision-makers the agility to handle widely dispersed data sources. Our platform empowers enterprise organizations by providing actionable insights from real-time data, both locally and globally, to deliver on the promise of IoT."


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About ParStream
ParStream is the IoT analytics platform company. The ParStream Analytics Platform was purpose-built for scale to handle the massive volumes and high velocity of IoT data. Enabling a new breed of analytics for the enterprise, ParStream has earned accolades including CIO Magazine #1 Big Data Startup, Gartner Cool Vendor and Database Trends and Applications Magazine's Trend-Setting Products in Data. ParStream is based in Silicon Valley, online at and on Twitter @ParStream.

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