Amazon S3
Export your unified data to Amazon S3 buckets as Parquet, CSV, or JSON files for data lake storage and analytics.
About this Integration
Amazon S3 (Simple Storage Service) is a scalable object storage service for data backup, archive, and analytics. With Vendo, S3 export allows you to store your unified customer, event, and commerce data in your own data lake for advanced analytics with tools like Athena, Spark, or Databricks.
Integration Methods
Destination
Destination: Export Vendo events, user profiles, revenue data, and ad performance to S3 buckets in Parquet, CSV, or JSON format.
Features
Multiple Output Formats
Export data as Parquet (optimized for analytics), CSV (universal compatibility), or JSON Lines (flexible schema).
Partitioned Storage
Data is automatically partitioned by date for efficient querying and cost optimization.
Data Lake Integration
Query exported data directly with AWS Athena, or load into Spark, Databricks, or Snowflake for advanced analytics.
Secure Credential Handling
IAM credentials are validated and encrypted. Least-privilege permissions ensure secure bucket access.
Support Docs
Use Cases
Data Lake Foundation
Build a unified data lake with all your customer, event, and commerce data for advanced analytics.
ML & Data Science
Feed Parquet exports into machine learning pipelines for customer segmentation and predictive modeling.
Compliance & Backup
Maintain a complete archive of all customer interactions for compliance and disaster recovery.
