Cloud News

The 2020 Tech Innovator Awards

Kyle Alspach

The delivery of truly differentiated offerings that create opportunities for partners during this unprecedented period is the crowning achievement of our 2020 Tech Innovators.

Big Data Platforms


Snowflake Cloud Data Platform

Snowflake has expanded to become a broad-based cloud data platform provider, with services that touch on data engineering and data science tasks, data lake management and data sharing. The Snowflake Cloud Data Platform provides a centralized place for deriving business insight from big data via a data warehouse that was created for the cloud along with secure access to an entire network of data and a core architecture to support versatile data workloads. Recent updates to the Snowflake Cloud Data Platform include the new Snowsight analyst experience for executing queries and commands against Snowflake; Dynamic Data Masking to enable different views of data based on user permissions; and enhanced data protection through integration with third-party tokenization offerings.


Cloudera Data Platform

The Cloudera Data Platform is an integrated platform for data management and governance, providing self-service analytics and artificial intelligence applications across hybrid and multi-cloud environments. Applications that run on the platform include Cloudera Data Warehouse, Cloudera Machine Learning and Cloudera Data Hub.

Couchbase Cloud

Couchbase Cloud is the next-generation database from Couchbase, available as a fully managed Database as a Service running on Amazon Web Services. The offering is based on the Couchbase Server, a multipurpose NoSQL database that combines a high-performance, memory-first, globally replicating cluster architecture with key-value stores, a SQL-compatible query language and a schema-flexible JSON format.

Domino Data Science Platform

With its Domino Data Science Platform, Domino Data Lab offers a centralized platform for enterprises performing data science work. The platform enables everything from collaborative model development to training and deployment to life-cycle management—ultimately empowering data scientists to accelerate their innovation.

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