MapR Debuts as a Challenger in Gartner 2015 Data Warehouse and Data Management Solutions for Analytics Magic Quadrant
New Delhi, India, March 10, 2015: MapR Technologies, Inc., provider of the top-ranked distribution for Apache Hadoop, today announced that it has debuted in the Gartner 2015Data Warehouse and Data Management Solutions for Analytics Magic Quadrant as a Challenger. Additionally, MapR, a pure-play Hadoop vendor, has been positioned furthest along the completeness of vision axis in the Challengers Quadrant.
Gartner recognizes that, “Completeness of Vision encompasses a vendor’s ability to understand the functions needed to develop a product strategy that meets the market’s requirements, comprehends overall market trends, and influences or leads the market when necessary. A visionary leadership role is necessary or the long-term viability of both product and company. A vendor’s vision is enhanced by its willingness to extend its influence throughout the market by working with independent third-party application software vendors that deliver data-warehouse-driven solutions (for BI, for example).A successful vendor will be able not only to understand the competitive landscape of data warehouses, but also to shape the future of this field with the appropriate focus of its resources for future product development.”
The MapR Distribution including Apache Hadoop is purpose-built to optimize data architectures, making them more agile, scalable, and real time. With an in-Hadoop NoSQL database, MapR helps organizations impact business “as-it-happens” through automated processes that shorten data-to-action cycles. Data-centric environments require a balanced combination of reads, writes, and analytics in applications such as fraud detection/prevention, real-time product recommendations, or user authentication. Increasingly, customers are also seeking real-time transactional or streaming applications in environments like Internet of Things, sensor data and log analytics. Typically, separate sets of technologies handle the database operations and the analytical jobs, resulting in complex architectures. MapR uniquely can handle both these requirements in one powerful platform.
MapR also continues to help accelerate worldwide adoption of Hadoop with the recent launch of free on-demand Hadoop training, which is designed to provide engaging and interactive video lessons, hands-on exercises, labs and quizzes, enabling professionals to acquire valuable Hadoop skills and knowledge on their own schedule. The company also announced last month a Quick Start Solution for Data Warehouse Optimization and Analytics, where customers have the flexibility to use Hadoop with their data warehouse to reduce overall system cost by performing transformations on Hadoop and freeing up previously used storage and capacity. A Quick Start Solution incorporates best practices and knowledge gained from years of hands-on experience from data scientists and engineers who have built successful big data applications for customers.
“MapR recognized early on the need to build a utility-grade Hadoop distribution, one that can stand up to the demands of organizations worldwide,“ said Jack Norris, CMO, MapR Technologies. “We are extremely proud of our debut as a challenger in Gartner’s Magic Quadrant and feel that it is a direct reflection of our advantages in getting customers up and running on Hadoop quickly, and enabling them to expand to handle real-time, mission-critical workloads.”
Apache Drill provides the flexibility to immediately query complex data in native formats, such as schema-less data, nested data, and data with rapidly-evolving schemas, with minimal IT involvement. Because SQL queries can run directly on various file formats, live data can be explored as it is coming in, versus spending weeks preparing and managing schemas and setting up ETL tasks. Additionally, Apache Drill supports ANSI SQL so users can easily leverage their SQL skills and existing investments in business intelligence (BI) tools.