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MapR Platform Refreshed

December 05, 2017

MapR Technologies touted an up to 10X analytic query performance improvements for historical and operational data using the MapR Converged Data Platform. MapR natively integrated new Apache Drill 1.11 with MapR-DB, a database for global data-intensive applications, enabling DataOps teams to build applications that accelerate more accurate decision making from all data with a fast and secure self-service BI environment. Additional enhancements include enterprise grade security enhancements that democratize data access for a broad set of users without compromising data privacy; and SQL access for data scientists across on-prem, cloud and edge environments.

"We are pleased to see the continued evolution of Drill as a SQL analytical engine for all data. With the latest version of Drill, we can now run fast queries on operational data in MapR-DB using secondary indexes," said Bill Adam, senior vice president, database development and technology, Alliant. "At Alliant, we deal with hundreds of customers who send us terabytes of data that requires aggregation of data daily so that agencies can make real-time business decisions. Needless to say, our business needs have to be matched with the technology that powers it. The focus on security and reliability shows MapRís continued commitment for making analytics at scale work for customers like us."

"The potential value that can be derived from data is driving organizations to identify new methods for improving analytics. DataOps is an emerging approach that expedites the path to successful deployment of data applications. By natively integrating MapR-DB with Drill, we can eliminate silos within organizations and enable self-service SQL BI analytics on operational and historical data for a faster, secure, and reliable enterprise experience," said Neeraja Rentachintala, senior director, database and SQL, MapR.

New features of Apache Drill 1.11 on the MapR Converged Data Platform include:

  • Operational Analytics with MapR-DB Integration
    • Up to 10X performance improvements for broad set of BI/Adhoc queries by leveraging native secondary index technology on MapR-DB
    • End to End flexible SQL query capabilities on JSON data
  • Enterprise-grade Security
    • Versatile authentication mechanisms - PAM, Kerberos & MapR Security
    • Advanced encryption to protect sensitive data as they are accessed, processed and delivered to end users Ė SSL & AES 256 GCM support
  • SQL Analytics Access for Data Scientists
    • Direct integration into MapR Data Science Refinery enables self-service data exploration and discovery, making data scientists more productive.

Apache Drill is an open source distributed SQL query engine integrated into the MapR converged data platform, which offers fast and secure self-service BI SQL analytics at scale. Drillís distributed shared-nothing architecture enables incremental scale-out with low-cost hardware to meet increasing demands of query response and user concurrency. ANSI SQL compliance, SQL user interface tools, and MapR supported integrations with popular BI tools such as Tableau, MicroStrategy and Qlik allow the backend to be changed without disrupting current BI analyst workflows. With the ability to discover schemas on-the-fly, Drill is a pioneer in in-place analytics on historical data stored in popular file formats such as Parquet, JSON, CSV and TSV in MapR-XD alongside operational data stored in MapR-DB.

Fast and secure BI experience powered by Apache Drill 1.11 on the MapR Converged Data Platform is available now.

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