2017 Datanami Readers’ & Editors’ Choice Awards
Datanami is pleased to be kicking off its second annual Readers’ and Editors’ Choice Awards to recognize the best and the brightest developments that happened in Big Data in 2017. These awards, which are nominated and voted on by the Big Data community not only give us added insight into the pulse of the community, but offers a chance to engage with you and award honors to the most deserving members of the global data science community.
We’d like to thank our dedicated readers for weighing in on their top picks for the best in Big Data. It’s been a privilege for us to present these awards, and we extend our congratulations to this year’s winners.
Best Big Data Product or Technology: Machine Learning
Best Big Data Product or Technology: Deep Learning/AI
Best Big Data Product or Technology: Internet of Things
Best Big Data Product or Technology: Big Data Security
Best Big Data Product or Technology: Real-Time Analytics
Best Big Data Product or Technology: Data Visualization
Best Big Data Product or Technology: Operational Platform (NoSQL)
Best Big Data Product or Technology: Cloud Service Provider
Readers’ Choice: Amazon Web Services
Editor’s Choice: Microsoft Azure
Best Big Data Product or Technology: Data Management (Governance)
Best Big Data Product or Technology: Data Management (Cataloging)
Readers’ Choice: Informatica
Best Big Data Product or Technology: Data Management (Prep)
Best Big Data Product or Technology: Virtualization
Best Big Data Product or Technology: Storage
Editor’s Choice: DDN: SFA14K Storage Platform
Editor’s Choice: Cockroach Labs
Top 5 Emerging Technologies to Watch
Top 5 Open Source Projects to Watch
Readers’ Choice: Apache Spark | Couchbase | Apache Kafka | Elastic Search | Apache Hadoop
Editor’s Choice: Apache Mesos | MongoDB | Apache Arrow | Apache Cassandra | Apache Flink
Readers’ Choice: Amazon Web Services | Couchbase | Striim | MapR | Google
Editor’s Choice: Kinetica | Cloudera | Confluent | Tableau | NVIDIA
Readers’ Choice: GE Predix’s implementation of Couchbase Mobile
Editor’s Choice: Domino’s use of Talend Big Data