Company furthers innovation in optimal architecture for big data
MapR Technologies, Inc., the provider of the first and only converged data platform, today announced that it has been granted a patent (US9,501,483) from the United States Patent and Trademark Office. The awarded patent demonstrates the company’s technology advancements in architecting a modern data platform that reliably runs mission-critical applications. This patent, in particular, covers the key technology underpinning components of the MapR Converged Data Platform including the multi-modal NoSQL database (MapR-DB) and global streaming engine (MapR Streams).
“Strengthening our growing IP portfolio, this patent reinforces our commitment to allowing our customers to uniquely run both operational and analytical processing on a single platform,” said Matt Mills, CEO, MapR Technologies. “Unlike Apache Hadoop or alternative big data technologies, the patented Converged Data Platform provides a unified and fast access layer to any type of data. We enable companies to take advantage of next generation applications, creating innovation and advancing their business through digital transformation.”
The key components of the patent claims include protection for file, table and stream processing for the following technology advances:
Leveraging these inventions, the MapR Converged Data Platform delivers a core architecture for data-centric businesses along these four key areas:
Enterprise-grade reliability in one platform – Vast scale with mission critical reliability, disaster recovery, end-to-end security, and multi-tenancy let customers run next generation big data applications in a business-critical, 24x7 environment that must never lose data.
Global, real-time, continuous data processing – Full read-write capabilities, low administration, automated optimizations, and immediate access to data all enable an end-to-end real-time environment that lets analysts continuously leverage data for gaining critical business insights.
Continuous innovation – A patented core with standard APIs drives greater value from Apache Hadoop/Spark and other open source projects. Advanced technologies allow greater scale and performance while compliance with community-driven open APIs such as industry standard POSIX, NFS, LDAP, ODBC, REST, and Kerberos allows all of the key open source big data systems to work with existing systems.
Foundation for converged analytics – A platform that enables multiple workloads in a single cluster lets customers run continuous analytics on both data at rest and data in motion without the delay due to moving data to a task-specific cluster. Having a single cluster that can handle converged workloads is also easier to manage and secure.
MapR provides the industry's only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage, enabling customers to harness the enormous power of their data. Organizations with the most demanding production needs, including sub-second response for fraud prevention, secure and highly available data-driven insights for better healthcare, petabyte analysis for threat detection, and integrated operational and analytic processing for improved customer experiences, run on MapR. A majority of customers achieves payback in fewer than 12 months and realizes greater than 5X ROI. MapR ensures customer success through world-class professional services and with free on-demand training that over 50,000 developers, data analysts and administrators have used to close the big data skills gap. Amazon, Cisco, Google, HPE, Microsoft, SAP, and Teradata are part of the worldwide MapR partner ecosystem. Investors include Google Capital, Lightspeed Venture Partners, Mayfield Fund, NEA, Qualcomm Ventures and Redpoint Ventures.