Amazon Web Services > Case Studies > Salesforce DMP: Leveraging AWS for Scalable Data Processing and Flexibility

Salesforce DMP: Leveraging AWS for Scalable Data Processing and Flexibility

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 Salesforce DMP: Leveraging AWS for Scalable Data Processing and Flexibility - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
  • Application Infrastructure & Middleware - Database Management & Storage
Applicable Industries
  • Cement
  • Equipment & Machinery
Use Cases
  • Construction Management
  • Infrastructure Inspection
Services
  • Data Science Services
  • System Integration
The Challenge
Salesforce DMP needed tools to ensure it could deliver high return on investment to its clients while continuously developing and bringing new platform features to market.
The Customer
About The Customer
Salesforce DMP is the leading data management platform that unifies, segments, and activates audiences to increase engagement with users, prospects, and customers. They interact with more than three billion browsers and devices monthly, supporting more than 200 billion data collection events and orchestrating more than 200 billion personalized consumer experiences.
The Solution
Salesforce DMP turned to AWS to manage data processing requirements that cover multiple modalities and to perform on-demand analysis of petabytes of data. They use a combination of Apache Hadoop on Amazon EMR and Apache Spark to run machine learning jobs and ETL workloads, with Amazon S3 as its core distributed storage system. They also leverage Amazon EC2 Spot instances to gain access to compute functionality at reduced costs.
Operational Impact
  • [Data Management
    aws partner story: salesforce dmp about salesforce dmp salesforce dmp, formerly krux, is the leading data management platform (dmp) that unifies, segments and activates audiences to increase engagement with users, prospects and customers.
Quantitative Benefit
  • Salesforce DMP is able to increase the processing speed for its data science and ETL work by 100 percent. They save up to 40 percent over Amazon EC2 Reserved-instance pricing and up to 80 percent over on-demand pricing using Amazon EC2 Spot instances.

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