YARN and Mesos as one
Hadoop vendor MapR and data center automation startup Mesosphere have created an open source technology called Myriad, which is supposed to make it…
MapR is the latest Hadoop vendor to embrace Apache Spark, adding the entire Spark stack of technologies to its distribution. It’s a smart move by MapR, but just more validation that Spark might be the data-processing framework of the future.
Hadoop vendor is racking up customers and on Monday it announced a $30 million venture-capital investment that brings its total funding to $59 million since launching in 2011.
There has been a lot of data news already this week — some big, some interesting, and some both. Here’s a collection of the stuff you shouldn’t, or don’t want to, miss.
One big problem with big data is that most analytical queries are slow and non-interactive. That’s why MapR and the Apache Foundation are backing Drill, an open source version of Google’s Dremel, as a tool to address that problem
Nimbula and MapR say that combining the former company’s scalable private cloud infrastructure with the latter’s Hadoop distribution will enable companies to run and manage big data applications much more easily. The idea is that a cloud infrastructure will make Hadoop much more flexible and available.
Hadoop is on its way to becomig the de facto platform for the next-generation of data-based applications, but it’s not without some flaws. Ironically, one of Hadoop’s biggest shortcomings right now is also one of its biggest strengths going forward — the Hadoop Distributed File System.
Amazon Web Services already has a winner with its Elastic MapReduce Hadoop service, and now it’s turning up the heat by adding MapR’s Hadoop distribution as an option. Users can take advantage of MapR’s performance features while also having integration with AWS’s suite of cloud services.
MapR Technologies, the San Jose, Calif.-based startup that sells it own Hadoop distribution for analyzing large volumes of unstructured data, has raised a $20 million Series B round, which will helps its positioning as a worthy alternative in a space that Cloudera has dominated since 2009.
Yahoo will be spinning off a separate company focused on the development and commercialization of Apache Hadoop, called HortonWorks. The official announcement likely will come tomorrow or Wednesday to coincide with Yahoo’s annual Hadoop Summit, but rumors have been circulating for months.
Big data startup MapR is now an official corporate contributor to the Apache Hadoop project, a somewhat interesting turn of affairs given its corporate mission to lure users away from Apache’s Hadoop Distributed File System. However, other companies commercializing Hadoop shoud follow its lead.
San Jose, Calif.-based storage startup MapR, which provides a high-performance alternative for the Hadoop Distributed File System, will serve as the storage component for EMC’s forthcoming Greenplum HD Enterprise Edition Hadoop distribution. Cloudera announced an HDFS partnership of its own with compression expert RainStor.
Mapr, a stealth-mode start-up with about 30 employees is developing a version of Hadoop and plans to compete with the likes of Cloudera. The company is likely to launch later this year and has been funded by Lightspeed Venture Partners and NEA.