MapR Technologies announced database innovations for data-intensive applications, including advancements for developers that enable rich applications, in-place and continuous machine learning/AI and SQL capabilities, and global real-time data integration and micro-services support.
Organizations are being pushed toward adding more intelligence to their applications as well as to their interactions with customers, said Jack Norris, senior vice president, Data and Applications, MapR. They are working to drive excellence in their operations, be more cost effective and efficient, and have a much deeper response to security and fraud by reducing risk exposure and reacting faster, he added. As a result, Norris said, instead of using separate tools to do different facets of data management, increasingly organizations need to react more quickly and have analytics and operations tightly intertwined.
While the types of applications are fairly broad, but what drives them is the ability to do multiple data models and to converge operations with in place analytics and to do it in real time so that the database is part of the real-time data flow in terms of both input and output, said Norris. For organizations really pursuing digital transformation, they require that they do a lot more with their data much faster. “The way that is enabled is really addressing some of the core issues at the architecture infrastructure level.”
According to the company, part of the MapR Converged Data Platform, MapR-DB supports multiple data models (document, wide column, key value, etc.) and unifies operations and analytics for in-place and continuous real time business insights. MapR-DB can operate thousands of mission critical next gen applications with consistent ultra-low latencies and high scalability.
MapR-DB combines attributes of RDBMS and NoSQL to enable intelligent data-intensive business applications. And because MapR-DB is part of one platform, large amounts of data can be analyzed immediately regardless of type or source with no tradeoffs as far as scale, performance and reliability.
Bringing together operational, analytical and real-time applications, the latest release includes provides powerful and efficient data access with native secondary indexes, and rich app development with an OJAI 2.0 API. The release also enables in-place self-service SQL data exploration, and BI with optimized Drill integration. Additional highlights include batch and real-time data processing and advanced analytics with native Spark and Hive connectivity. And finally there is real-time data integration with global change data “so not only do we integrate flows and event streams within the platform but with global change capture we can drive real time events that are downstream,” said Norris.
The net result for customers whether they are seeking to pursue new revenue, engage with customers, make their processes more intelligent, they will benefit from these new features. “You need to do that in a global business environment. It is 24 by 7; it works across locations. It can go all the way from the edge to cloud to on premise, and it drives operational BI without ETL and data prep,” said Norris. The other advantage of supporting these broad capabilities is that organizations can have many applications running on the same platform and without worrying about workloads interfering with each other. “If you look at the typical database out there, particularly ones that scale, they are either optimized do write-intensive workloads or read-intensive workloads and it is hard for them to do both at the same time.”
MapR 6.0 with new MapR-DB enhancements is planned for release in Q4 2017. For more information, visit www.mapr.com.