Snowplow on Amazon Web Services (AWS)

Create advanced behavioral data use cases using Snowplow BDP and Amazon Web Services (AWS)

Snowplow on AWS: Scalable, Secure, and AI-Ready

Snowplow on AWS enables organizations to collect, govern, and analyze their first-party behavioral data in real time within a secure and scalable environment. Deployed directly in your VPC and AWS sub-account, Snowplow offers end-to-end data governance, cost-effective storage in Amazon S3, and seamless interoperability with AWS’s powerful analytics and machine learning tools. Empower your teams to unlock deeper customer insights, optimize operations, and future-proof your business for AI-driven success.

End-to-End Data Lifecycle Management

Snowplow on AWS offers a robust, AI-ready data infrastructure that enables companies to capture and enrich first-party behavioral data seamlessly. Our customer data infrastructure empowers teams to activate data in real-time, integrate it into any analytics workflow, and derive predictive insights across marketing, product, and operational initiatives—ensuring businesses can make timely, data-driven decisions.

Cost-effective Scalability

By leveraging AWS services like S3 for storage and Glue for data cataloging, Snowplow allows organizations to scale their data operations affordably. This approach reduces data warehousing expenses, promotes interoperability with multiple analytics tools, and avoids vendor lock-in, creating a flexible, cost-efficient architecture that adapts as data needs evolve.

Future-Proofed AI Architecture

Snowplow on AWS is designed to support machine learning and advanced analytics applications, helping companies unlock the full potential of their data for AI-driven insights. By integrating with AWS tools like Kinesis and SageMaker, Snowplow provides a flexible foundation for businesses to develop and deploy AI models for personalization, fraud detection, and other applications critical to future growth.

Real-Time Data Processing with Lake Loaders

The Snowplow and AWS integration enables businesses to capture and process behavioral data streams in real time. This capability allows organizations to analyze user interactions as they happen, providing immediate insights that can drive timely marketing strategies, operational adjustments, and product enhancements. By harnessing tools like Amazon Kinesis, businesses can ensure their analytics are always up-to-date, facilitating agile decision-making.

Comprehensive Data Governance within your VPC

Snowplow is deployed within the client’s Virtual Private Cloud (VPC) and AWS sub-account, ensuring full control over data privacy and security. This deployment model allows businesses to manage and govern their first-party data within their own secure environment, offering robust compliance capabilities. With Snowplow, companies maintain the flexibility to implement data governance policies while seamlessly integrating with other AWS services to enrich, process, and analyze their data without compromising security or control.

Interoperability with Data Lake Architecture

Snowplow’s integration with AWS takes full advantage of the flexibility and scalability of Amazon S3, enabling businesses to store large volumes of structured, semi-structured, and unstructured data within a centralized data lake. S3’s cost-effective and durable storage solution provides businesses with unlimited scalability, ensuring data is easily accessible and can be queried by a variety of AWS services. This architecture helps prevent vendor lock-in, offering businesses the freedom to use multiple analytics and machine learning tools across a unified data platform.

How does it work?

"There is a massive amount of business being driven through these different data projects and there is one universal consistent theme across all of these different projects* and that is that they require, fundamentally rely on, behavioral data."