2019 Datanami Readers’ and Editors’ Choice Awards
Datanami is pleased to announce the results of its fourth annual Readers’ and Editors’ Choice Awards, which recognizes the companies, products, and projects that have made a difference in the big data community this year. These awards, which are nominated and voted on by Datanami readers, give us insight into the state of the 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
Editor’s Choice: SAS Visual Data Mining & Machine Learning
Best Big Data Product or Technology: Internet of Things
Readers’ Choice: SAS Analytics for IoT
Editor’s Choice: The Striim Platform
Best Big Data Product or Technology: Big Data Security
Readers’ Choice: Cloudera Enterprise
Editor’s Choice: Elastic Stack
Best Big Data Product or Technology: Streaming Analytics
Editor’s Choice: Redis Streams
Best Big Data Product or Technology: Data Visualization
Editor’s Choice: Microsoft PowerBI
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
Readers’ Choice: Talend Data Catalog
Best Big Data Product or Technology: Operational Database
Best Big Data Product or Technology: Data Science Platform
Readers’ Choice: Amazon Web Services
Top 5 Open Source Projects to Watch
Readers’ Choice: Apache Spark | Apache Hadoop | MongoDB | TensorFlow | PyTorch
Editor’s Choice: Apache Arrow | Cassandra | ElasticSearch | Presto | Redis
Readers’ Choice: Cloudera | IBM Watson | Snowflake | MongoDB | Databricks
Editor’s Choice: Alation | DataStax | Starburst | DDN | Hazelcast