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Best Big Data Solution


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In the age of big data, organizations require solutions that can help manage the three Vs, volume, velocity, and variety.

The Vs are the well-known traits of big data that are creating new challenges as well as opportunities for the enterprise, with the ability to extract valuable insights new sources such as social networks email, sensors, connected devices as sensors, the web, and smartphones.

Addressing the three Vs are the converging forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured, or schema-less, data.

One of the most promising big data frameworks is Apache Hadoop, around which a robust ecosystem is flourishing.

An increasing amount of tech companies are tapping into Hadoop solutions and bringing them to market to help enterprises tackle an influx of data and how to store it.

Hadoop at the core of any system allows diverse users and application workloads to pool data on common infrastructure; offers a variety of security tools; governs data auditing, linage and discovery; manages native high-availability, fault-tolerance and self-healing storage, automated backup and disaster recovery, and advanced system and data management; and utilizes open source technology to ensure data and applications remain tied to the user.

HERE ARE THE WINNERS OF THE 2015 DBTA READERS' CHOICE AWARDS FOR BEST BIG DATA SOLUTION

Winner:

Cloudera Enterprise

Finalists:

Hortonworks Data Platform   

Cassandra (DataStax)


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