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The Coolest Big Data System And Platform Vendors Of The 2019 Big Data 100

Part 2 of CRN's 2019 Big Data 100 looks at the companies you need to know that provide big data systems and platforms.

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Amazon Web Services 

Top Executive: CEO Andy Jassy

Amazon Web Services provides the cloud-based platform for a range of big data services, from data storage (Amazon S3) to an ever-expanding array of data management and business analytics software.

The AWS analytics lineup includes Redshift data warehousing, Athena SQL query for S3 data, and Kinesis for analyzing real-time video and streaming data.

Data management offerings include the Aurora managed relational database, DynamoDB NoSQL database, EMR hosted Hadoop framework, AWS Glue data preparation and loading, and AWS Lake Formation for building data lake systems.

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Cloudera 

Top Executive: CEO Tom Reilly

Big data platform vendor Cloudera became even bigger in January when it merged with rival Hortonworks and is now wrestling with the task of rationalizing the Cloudera and Hortonworks product lines.

Built around its Cloudera SDX (shared data experience) framework, Cloudera's product portfolio includes data engineering, data science, operational databases and analytical databases.

Specific products include the Enterprise Data Hub platform, DataFlow for real-time streaming data, and Data Science Workbench for data science tasks.

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Dell EMC 

Top Executive: CEO Michael Dell

Dell EMC provides servers, storage systems and other hardware systems for storing, managing and analyzing data, including its PowerEdge servers and VxRack and VxRail systems.

Dell bundles the hardware with core software to create big data bundles such as Ready Solutions for Big Data analytics, Ready Solutions for AI, Ready Architectures for Hadoop and Ready Architectures for Splunk.

The solutions include other Dell EMC products such as the Dell Boomi data integration platform and software from other vendors such as Cloudera Enterprise and Hewlett Packard Enterprise's BlueData Epic for deploying Data-as-a-Service systems.

 
 
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