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The 2020 Tech Innovator Awards

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

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Big Data Platforms

Winner:

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.

Finalists:

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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