Earlier today, a major new development was announced for big data users from MapR Technologies. MapR announced that, starting today, MapR M7 would be available for both NoSQL and Hadoop applications, bringing the power of big data into a dependable, easy to use platform that is said to eliminate many of the trade-offs involved in a NoSQL database solution.
The MapR M7 Edition was specifically built with reliability and performance in mind, allowing it to work without the need for background consistency checks or compactions. Even without those features, M7 can still deliver over a million operations every second, with a ten-node cluster working, and can also offer significant advantages in terms of scalability, supporting as many as a trillion different tables working over several thousand nodes. Reliability, as mentioned, is also a strong point in M7's favor, offering instant recovery from failures and as such giving HBase and Hadoop applications alike five-nines (99.999 percent) availability.
M7 also manages to simplify things quite a bit by removing the need for region servers and additional processes, along with redundant layers between data and applications. M7 can also run region splits automatically, along with performing self-tuning operations on a regular basis, making even schema changes able to go off without the need for downtime.
One company that got in on the M7 program at the beta level was Sociocast. Sociocast offers an easy way to put predictive analytics to work for businesses, and offers improved ways to gain predictive insight capabilities. Sociocast's CEO, Albert Azout, offered up some remarks describing his company's experience with M7, saying, “We require a highly reliable, blazingly fast NoSQL platform to cater to our growing customer base. We have chosen M7 over other prominent solutions in the marketplace for its capability to support 24x7 operations with minimal administrative costs as well as for delivering the best performance numbers across different workloads.”
Indeed, the value of big data is rapidly making itself clear. Things like M7 are allowing companies to better harness the large amounts of data they currently possess, leaving them better able to spot trends and adapt accordingly, finding out where there are holes in staffing, or too much staff on at certain times, or even the times of day in which certain items sell more than others. Being able to not only take advantage of current trends, but also predict future trends before they happen, gives companies a significant leg up in terms of overall operations. Making the most of present trends, and being prepared for future trends, allows businesses to get the most out of their operations, even in soft economic conditions like those being experienced by many businesses.
MapR's M7 will likely find a home at many companies, and the improved ability to derive trends from predictive analysis should prove helpful to those who bring it on board.
Edited by Rachel Ramsey