You typically need to run Hadoop alongside other modern technologies like NoSQL databases and event streaming systems. With MapR, convergence gives you real-time data access no matter how the data is delivered and stored. MapR delivers scalable, enterprise grade processing across files, tables and streams with:
In your business-critical big data environments, reliability, security, multi-tenancy, and speed are all important components. MapR customers achieve 99.999% uptime and no data loss on a broad collection of distinct data sets, all while getting more output from fewer resources to lower their total cost of ownership (TCO).
When choosing a Hadoop vendor, you want options. You want to choose the right tool for the job, as well as the right time to upgrade. MapR gives you multiple choices for key capabilities, as well as support for multiple project versions.
Cisco IT built a Big Data Platform to transform data management and provide big data analytics services to Cisco business teams. CIsco used MapR for their enterprise Hadoop architecture to unlock hidden business intelligence of their globally distributed large data sets, while also providing service-level agreements (SLAs) for internal customers.Case study
By using MapR, comScore is able to easily manage and significantly scale their Hadoop cluster, create more files faster, process more data faster, and produce better streaming and random I/O results than other Hadoop distributions – and do so confidently knowing they can count on data protection and disaster recovery functions when needed.Case study
Australian consumers are among the most technologically sophisticated in the world, using a wide range of applications and devices to shop whenever and wherever they choose. They demand to be served quickly, which creates opportunities for highly responsive companies. Above all, consumers value a personalized experience, one with messages, recommendations, and promotions tailored to each individual.Case study