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MapR : A-1 Platform to Get Big Results from Big Data

Enterprises are continuously looking for a big data platform which is flexible, reliable, scalable and able to suit the needs of software developers and allow enterprises to harness their data. A fast and economic way to leverage the massive amounts of data produced, including that by new sources such as industrial sensors and Internet of Things (IoT), is to use Hadoop as a single platform for storage, analytics and compute of very large unstructured – as well as structured – datasets.
MapR provides the industry’s only converged data platform that combines the processing power of the top-ranked Hadoop with web-scale enterprise storage and real-time database capabilities, enabling customers to harness the enormous power of their data.
MapR allows you to do more with Hadoop by amalgamating Apache Hadoop with architectural innovations focused on operational excellence in the data center. MapR has the only Hadoop distribution that is built from the ground up for business-critical production applications.
MapR provides a data platform with Apache Hadoop that packages more than a dozen projects from the Hadoop ecosystem to provide a broad set of big data capabilities. The MapR platform not only provides enterprise-grade features such as high availability, disaster recovery, security, and full data protection but also allows Hadoop to be easily accessed as traditional network attached storage (NAS) with read-write capabilities.
MapR was engineered for the data center with IT operations in mind. MapR enables Hadoop to serve business-critical needs for Big Data applications that cannot afford to lose data, must run on a 24×7 basis, and require immediate recovery from node and site failures – all with a smaller data center footprint. MapR supports these capabilities for the broadest set of Hadoop applications from batch analytics to interactive querying and real-time streaming.
John Schroeder, Fervent organizer of MapR
John Schroeder has served as MapR CEO and Chairman of the Board since founding the company in 2009. Prior to founding MapR, John held executive positions in a number of enterprise software companies with a focus on data, storage and business intelligence at both private and public companies including: CEO of Calista Technologies (now Microsoft), CEO of Rainfinity (now EMC), SVP of Products and Marketing at Brio Technologies (BRYO) and General Manager at Compuware (CPWR).
Blending the power of Hadoop and Spark
MapR delivers the only converged data platform, including Hadoop and Spark. The converged platform is a trusted platform that supports a broad set of mission-critical and real-time production uses cases. MapR is recognized by industry analysts as the top-ranked Hadoop, NoSQL and SQL-on-Hadoop solution. Their customers, across industries, use MapR for a multitude of applications and benefit from increased revenue, reduced costs, and risk mitigation. Today, MapR is used to perform over 100 billion ad auctions a day, study 96% of the U.S. internet traffic, and analyze over a trillion dollars in retail purchases.
High Availability and Disaster Recovery
The built-in MapR high availability (HA) features eliminate single points of failure at the node, file system metadata, NFS access, resource management (YARN), and job tracking levels. Rolling Upgrades let you upgrade live clusters, one node at a time to minimize planned downtime.
The built-in MapR disaster recovery (DR) features let you develop a true business continuity strategy to overcome a site-wide disaster. MapR Mirroring lets you create a consistent remote replica or “mirror” for disaster recovery, as well as for load balancing and geographic distribution. Scheduled mirroring sends only block-level differentials to minimize both synchronization time and bandwidth utilization, and can help you define an appropriate recovery point objective (RPO) for your needs.
Technology Leadership, High Margins and Efficient Cash Management
MapR heavily invests in the innovation emerging from the open source Hadoop community. The MapR converged data platform extends the open source innovations to serve a broader set of use cases from analytics only to also support operational and primary storage use cases. This approach avoids the complexity and cost of data silos.
As a result, MapR has differentiated itself with a business model based on technology leadership resulting in software subscriptions, high margins and efficient cash management.
MapR is built on four core values-integrity, urgency, teamwork and innovation-that drives their product and their corporate culture. It is what differentiates MapR and allows them to stay ahead in a race of emerging technologies and build close relationships with their customers and partners.
MapR believes that their customers enable their success. MapR listens very carefully to their customers and it’s through interactions with customers that they are able to identify and define products that play a key role in making their customers succeed. So while MapR drives a lot of innovation, they’re doing that by working closely with their customers to better understand and address customers’ challenges and use cases.
Spark, Faster and Easier Data-Processing Approach
MapR was architected from day one to extend open source software with an enterprise-grade platform that provides value to customers by enabling applications such as real-time operational analytics.
The market is developing very fast and technology for storing and analyzing data is constantly changing. They’ve done really well with the early adopters and innovators in the market. That’s now expanding to more mainstream use cases. Spark is emerging as a great new compute technology, and other exciting developments to watch are- Mesos, YARN, Myriad, more interactive SQL, and graph databases.
Upcoming products and services
MapR is uniquely architected to scale to handle continuous data feeds and manage more files than competing technologies. Their platform can also combine database operations and transactions that enable businesses to make rapid decisions based on the data collected and immediate, real-time analytics.
MapR continue to innovate their platform to enable multiple compute and resource management applications on top of the same data so their customers do not need to implement multiple clusters or create multiple silos of data.
Success Mantra to Startups
MapR suggested success mantra to the young entrepreneur-“The key to starting a company is to do your homework: spend time with customers and really identify macro trends, the resulting product you build has to be great of course, but should be grounded and informed by customers and their real-world challenges and opportunities.”