Review Top 10 Best Big Data Tools

Big Data companies come in many different shapes and flavors. In fact you might say, a list of Big Data companies necessarily contains vendors with highly contrasting strategies – clearly, the analytics market is in rapid flux. Standards? Kind of. Not exactly. Depends who you ask. It has been just seven years since Yahoo introduced Hadoop but the concept behind it, Big Data, has exploded in popularity as more and more firms launch pilot programs to gain insight from the massive amounts of data at their disposal. Big Data has matured differently than most technologies, however. First, no one leader has emerged after nearly a decade.

Review Top 10 Best Big Data Tools

The analytics industry is still in growth mode, and leaders emerge when an industry consolidates. Secondly, the big names got in the market early in a big way. That's also unprecedented, because established vendors have traditionally been notoriously slow to embrace a new technology. But already, IBM, Microsoft, SAP, HP, and Oracle are in the game. So, which tools and platforms should you choose? Here are 20 of the top companies to consider in the Big Data world.

1) Tableau
Originally spun out of Stanford University as a research project, Tableau started out by offering visualization techniques for exploring and analyzing relational databases and data cubes and has expanded to include Big Data research. It offers visualization of data from any source, from Hadoop to Excel files, unlike some visualization products that only work with certain sources, and works on everything from a PC to an iPhone.

2) New Relic
New Relic uses a SaaS model for monitoring Web and mobile applications in real-time that run in the cloud, on-premises, or in a hybrid mix. It uses more than 50 plug-ins from technology partners to connect to its monitoring dashboard. The plug-ins include PaaS/cloud services, caching, database, Web servers and queuing. Its Insights software for analysis works across the entire New Relic product line, and the company offers a product called Insights Data Explorer that is designed to make it easier for everyone on a software team to explore Insights events.

3) Alation
Alation crawls an enterprise to catalog every bit of information it finds and then centralizes the organization's knowledge of data, automatically capturing information on what the data describes, where the data comes from, who's using it and how it's used. In other words, it turns all your data into metadata, and allows for fast searches using English words and not computer strings. The company's products provide collaborative analytics for faster insight, a unified means of search, provides a more optimized data structure of the company's data, and assists in better data governance.

4) Teradata
Teradata has built a portfolio of Big Data apps into what it calls its Unified Data Architecture, which includes Teradata QueryGrid, Teradata Listener, Teradata Unity and Teradata Viewpoint. QueryGrid provides a seamless data fabric across new and existing analytic engines, including Hadoop. Listener is the primary ingestion framework for organizations with multiple data streams, Unity is a portfolio of four integrated products for managing data flow throughout the process, and Viewpoint is a custom Web-based dashboard of tools to manage the Teradata environment.

5) VMware
VMware has incorporated Big Data into its flagship virtualization product, called VMware vSphere Big Data Extensions. BDE is a virtual appliance that enables administrators to deploy and manage the Hadoop clusters under vSphere. It supports a number of Hadoop distributions, including Apache, Cloudera, Hortonworks, MapR and Pivotal.

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