MapR Data Platform improves AI and analytics, lowers TCO, integrates storage and security across on-premises, edge and cloud deployments



MapR Technologies Inc. announced on Tuesday a series of MapR Data Platform advances to speed the operational impact of automated analytics, improve the productivity of developers and data scientists, lower TCO, and streamline security and storage across on-premises data centers, clouds and edge deployments.

The major platform update from MapR includes various areas of innovation that extend the data fabric to cloud storage through object tiering; fast ingest erasure coding for more cost-effective, long-term data retention; security innovations to automatically enable security across the environment; and a new S3 API supporting next-gen applications and increasing application portability.

A recent Gartner research note states the need for a new approach citing that “Data growth has far outstripped compute growth, resulting in an imbalance in system architectures. Emerging data-intensive workloads that require data-centric processing — such as AI, high-performance computing (HPC) and IoT — will expose the system imbalance, especially in data movement, resulting in new architectural innovations to address this gap.”

The MapR Platform includes core data service innovations to speed AI and analytics while lowering TCO. It delivers policy-driven automatic data placement across performance-optimized, capacity-optimized and cost-optimized tiers, on-premises or in cloud, with object tiering, fast ingest erasure coding that can now be used for capacity-optimized tiers or with high speed SSDs for an optimized analytics tier, native S3 Interface for next-generation applications for direct analytics on operational data and transparent application portability across on-premises and multi-cloud environments with advanced secure file-based services to ensure corporate security compliance with NFSv4.

The platform delivers high performance, continuous processing with Spark 2.3 for structured streaming and machine learning, analytics toolkit support with Hive 2.3 that has over 800 JIRAs resolved, non-programmer enablement to create streaming applications with KSQL, and simplified streaming analytics application development with Change Data Capture (CDC) and KStreams. It also offers Apache Drill 1.14 with expanded SQL support, high performance at scale and query experience with Hue, apart from native language bindings (Python and Node.JS) and queries directly on JSON datatypes without ETL for database applications development.

With this platform, MapR also features streamlined security and critical data asset protection including volume-based data encryption at rest provides an additional means to prevent unauthorized access to sensitive data. Encryption is also used to avoid exposure to breaches such as packet sniffing and theft of storage devices. It also offers Secure by Default which ensures data platform security out-of-the-box including core and ecosystem services for new installations with a single click. All data can be stored encrypted and all network connections are encrypted with authentication enabled.

“Customers have made it clear that traditional approaches to managing and processing data for AI and Analytics leave critical gaps. In response, MapR’s newest innovations focused on enabling data scientists and developers to leverage all data for more impactful results,” said Anoop Dawar, senior vice president product management and marketing, MapR. “The continual evolution of the MapR Platform is evident in this rich release of new capabilities, built in close collaboration with leading customers, that powers distributed AI and analytics spanning multi-temperature, multi-protocol, on-premises, edge and cloud deployments.”

“Integration and data management are at the heart of our advanced Liaison ALLOY Platform which is designed to solve complex business problems for large global enterprises in healthcare, financial services and other industries. The MapR Data Platform is fundamental to ALLOY’s ability to enable a seamless flow of data securely and at scale for our customers,” said Larry Mieldezis, CIO, Liaison Technologies. “We look forward to the new AI and Analytics capabilities which will provide exciting new advancements to our customers while significantly simplifying security and storage requirements for our ALLOY Platform.”

MapR partners with cloud computing vendors. MapR also partners with software vendors to extend the value of their solutions, and with consulting and system integrator companies that provide consulting services and related implementation, integration, and training services to joint customers.

“Our clients understand the importance of data and data-driven decision-making in their digital transformation journey,” said Justin Gillespie, principal and analytics practice lead at the Hackett Group. “MapR’s industry-leading data platform not only sets the bar for transformational analytics, AI and machine learning, but they are also delivering a platform that optimizes TCO, security and agility throughout the enterprise, whether in the cloud or on-premises.”

The latest release of the MapR Data Platform is entering customer beta test and will be generally available next quarter.

 

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