Use Segment with Amazon S3, Redshift, Personalize, or Kinesis to access all of your first-party customer data without complicated setup or maintenance.
Segment saves valuable engineering resources when connecting to your AWS services by eliminating the need to install libraries, make code modifications, or build data pipelines.
Unify your customer data without complicated setup
Segment's Customer Data Infrastructure collects, schematizes, and loads all of your customer interactions — from mobile, web, POS, CRM, email, and more — into Amazon S3, Redshift, Personalize, or Kinesis Streams, creating a 360-degree view of your customer across your AWS infrastructure.
Loading all of your first-party data into Amazon Redshift, streaming it into Kinesis, and getting raw data into Amazon S3–all while ensuring it is clean and schematized–is not an easy task. Instrument Segment once, for a 360-degree view of your customer across your AWS infrastructure.
You build and maintain.
You just connect.
Automatically access raw, first-party data in AWS services like Amazon Athena, Glue, SageMaker, Personalize, or Lambda to solve complex business problems like building recommendation engines or identifying and filtering malicious bot traffic.
Stream schematized data directly to Amazon Kinesis. Engineers and data teams can leverage real-time personalization and analytics–informed by a complete set of historical interactions-for a consistent customer experience across all devices.
Eliminate data prep and the need to build and maintain complex data pipelines. Segment provides upstream data governance and data schematization for a central customer data repository, that everyone can trust.
Run code for virtually any type of application or backend service - all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.