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MapR Transforms Real-Time Streaming for Globally Distributed Operations and AnalyticsMapR® Technologies, Inc., a pioneer in delivering one platform for all data, across every cloud, today announced breakthrough capabilities for building powerful, real-time streaming and global IoT applications. New enhancements to the MapR Converged Data Platform release 6.0.1 and MapR Expansion Pack 5.0, including Event Streams (MapR-ES), Apache Spark and Apache Drill release 1.13, support streaming pipelines that can stretch across millions of endpoints while also supporting rich analytics that can be used to divide and aggregate the streams into hundreds of thousands of logical topics. "MapR has redefined streaming with a ground-breaking approach. Companies no longer have to think about streams as a separate, short-lived flow that needs to be put in a lake or warehouse before its significance can be analyzed and understood," said Howard Marks, founder and chief scientist, DeepStorage. "MapR has embedded Kafkaesque streams directly into the data fabric. Streams can be persisted in the fabric for years with the same enterprise security and reliability; and now with event time-stamping a single historical event can be retrieved instantly. But perhaps more importantly, a single stream can be logically divided into hundreds of thousands of topics with no impact on performance. No other streaming approach provides this scale, flexibility, and performance." With release 6.0.1, MapR exposed new functionality through multiple APIs. The MapR-ES API adds support for an event-time timestamp as part of an update to the Kafka 1.0 API, and structured streaming in Apache Spark 2.2.1 which leverages this timestamp for new stream processing capabilities like windowing and aggregation. For IoT applications, this helps ensure that data across a globally distributed network of devices and sensors can be flexibly separated into logical topics and properly aggregated for real-time analytics and applications. For companies adopting a "streaming system of record" that can be reliably persisted for extended periods for compliance or developer productivity, MapR-ES now also maintains a time index so applications can easily seek to a specific point in time from which to consume. "We are very excited about the new features," said Eric Keister, advanced analytics and emerging technologies manager at Anadarko. "Spark structured streaming allows us to use advanced analytics on real-time oil well data while Drill allows us to explore the same data using SQL. This helps us make operational decisions faster." p> Apache Drill 1.13 has also been integrated (alpha) with MapR-ES for exploration of historical message data, whether for simple use cases like data pipelines or dashboards, or more complex ones like anomaly detection. Additionally, greater developer and data scientist productivity has been added via the MapR-DB REST gateway and native MapR-DB exploration in the Data Science Refinery Notebook."The importance of integrating streams into a high scale, high performance data fabric cannot be overstated," said Jack Norris, SVP data and applications, MapR Technologies. "The ability to quickly analyze and understand the significance of events as they are collected and created is a huge advantage. And when streams are integrated into a rich fabric that includes rich historical data and the ability to understand the context and generate an immediate action, that advantage is translated directly to business value." Benefits in MapR 6.0.1 and MEP 5.0 include:
The updated MapR Converged Data Platform and additional enhancements to Apache Drill are available this week. Tweet this: .@MapR simplifies real-time #streaming analytics for #IoT; launches #DataOps customer portal #edge @ApacheDrill @ApacheSpark http://bit.ly/MapR-6-0-1-release Supporting information Blog: Extending Your Stream of Record with MapR 6.0.1 and MEP 5.0 About MapR MapR Technologies, Inc. a pioneer in delivering one platform for all data across every cloud, enables companies to harness the power of all of their data with the MapR Converged Data Platform. With the MapR Platform, companies can do analytics and applications together as data happens to create intelligent, next-generation applications to outperform the competition. Global 2000 enterprises are using the MapR Platform to help them solve their most complex data challenges. Amazon, Cisco, Google, Microsoft, SAP (News - Alert) and other leading businesses are all part of the MapR ecosystem. For more information, please visit: mapr.com. MapR is a registered trademark of MapR Technologies, Inc. in the United States and other countries. Other names and brands may be the property of others.
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