Apache Hadoop Competitors

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Currently, the Hadoop distribution has an open source version of Apache and a Hortonworks distribution (HDP Hadoop), MapR Hadoop, and so on. All of these distributions are based on Apache Hadoop.

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

Big data and Hadoop are moving in a step-by-step way to bring changes to the enterprise's data management architecture. This is a gold rush, featuring franchisees, enterprise-class software vendors and cloud service vendors, each of whom wants to build a new empire on the Virgin land. Although the Open-source Apache Hadoop project itself already contains a variety of core modules-such as Hadoop Common, Hadoop Distributed File Systems (HDFS), Hadoop yarn, and Hadoop mapreduce--...

The top two of the Superman-Hadoop start-up This is no longer a secret, global data is growing geometrically, with the wave of data growing rapidly around the world in a large number of hadoop start-ups. As an open source branch of Apache, Hadoop has almost become a surrogate for large data. Gartner estimates that the current market value of the Hadoop ecosystem is about 77,000,000, which the research company expects will increase rapidly to 813 million by 2016 ...

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Recently, hortonworks with the data Application Platform Developer Concurrent formally established the Alliance, and as Hortonworks strong competitor Cloudera, in order to compete for more Hadoop market share also launched a series of plans, 　　Facing the 813 million dollar market in the future, both sides are committed to expand in the channel, pull into the various forces, a fierce competition is underway, the following look at the CNR's Rick Whiting for us to bring a wonderful analysis. The following is the original: C ...

While actively launching commercial version of Hadoop while actively investing in Cloudera, a big data analytics management software developer based on Hadoop, when Intel recently announced that it would unite the "two lines" to launch a more "Fusion Edition" Hadoop At the time, the king of chips in the big data market, sophisticated layout and ambition also emerge in the forefront - it is to create the most suitable Hadoop server chip system, it is to become the king of the era of big data. In the booming big data market, the opportunities for infrastructure vendors, no doubt from it ...

Hortonworks, founded in July 2011 by Yahoo! and Benchmark Capital, announced a technology preview of a data platform based on Hadoop. The company employs the core of many Hadoop projects to provide appropriate support and training. Shortly after IBM announced a large data analysis platform based on Hadoop, a new but very important role--hortonworks, and already started to play on their hortonworks data flat ...