3、Cloudera is the #1 provider of Hadoop software, training and commercial support.
4、Couchbase Targets A NoSQL Divide----A top contender in the NoSQL movement, Couchbase is a key-value store that is chosen for its scalability, reliability and high performance.
5、Datameer Stays Ahead Of The Analytics Curve---Having lots of data is one thing. Storing it all in one scalable place, like Hadoop, is better. But the real value in big data is being able to structure, explore and make use of that data without delay. That's where comes in.
6、DataStax Plays Cassandra Three Ways----Apache Cassandra is an open-source, column-group style NoSQL database that was developed by Facebook and inspired by Amazon's Dynamo database. DataStax is a software and commercial support provider that can implement Cassandra as a stand-alone database, in conjunction with Hadoop (on the same infrastructure) or with Solr, which offers full-text-search capabilities from Apache Lucene.
7、Hadapt Brings Relational Analytics To Hadoop----Hadapt was hip to the need for business intelligence and analytics on top of Hadoop before its first round of funding in early 2011. Hive, the Apache data warehousing component that runs on top of Hadoop, relies on slow, batch-oriented MapReduce processing.
8、Hortonworks Takes A Conservative Approach To Hadoop----Hortonworks is the youngest provider of Hadoop software and commercial support, but it's an old hand when it comes to working with the platform. The company is a 2011 spinoff of Yahoo, which remains one of the world's largest users of Hadoop. In fact, Hadoop was essentially invented at Yahoo, and Hortonworks retained a team of nearly 50 of its earliest and most prolific contributors to Hadoop.
9、Karmasphere Has High Hopes For Impala----Karmasphere provides a reporting, analysis and data-visualization platform for Hadoop. The company has been helping data professionals mine and analyze Web, mobile, sensor and social media data in Hadoop since 2010. The software also is available as a service on Amazon Web Services for use in conjunction with Elastic MapReduce.
10、MapR: One Of These Things Is Not Like The Others----MapR's guiding principles are practicality and performance, so it didn't think twice about chucking the Hadoop Distributed File System out of its Hadoop software distribution. HDFS had (and still has, MapR argues) reliability and availability flaws, so MapR uses the proven Network File System (NFS) instead. In the bargain, MapR claims to get "twice the speed with half the required hardware." The NFS choice also enabled MapR to support using messaging software from Informatica. MapR competitors Cloudera and Hortonworks can't stream data because HDFS is an append-only system.
11、Neo Technology Database Manages Social Relationship----"Social applications and graph databases go together like peanut butter and jelly," says graph database consultant Max De Marzi. That's the big reason Neo4j, the open source graph database developed and supported by Neo Technologies, has a unique place in the NoSQL world. Neo4j is used to model and query highly complex interconnected networks with an ease that's not possible with relational databases or other NoSQL products.
12、Platfora Puts A Lens On Hadoop----Platfora is one of those startups offering a "new-breed" analytics platform built to run on top of Hadoop. The software creates a data catalog that enumerates the data sets available on a Hadoop Distributed File System.
13、 Splunk Has The Pulse Of Machine Data----Splunk got its start offering an IT tool designed to help data center managers spot and solve problems with servers, messaging queues, websites and other systems. But as the big data trend starting gathering steam, recognized that its technology could also answer all sorts of questions tied to high-scale machine data (a big factor in the company's successful 2012 IPO). Splunk employs a unique language and its core tools are geared to IT types, but those power users can set up metrics and dashboards that business users can tap to better understand e-commerce traffic, search results, ad campaign effectiveness and other machine-data-related business conditions.
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