Which data platforms are best for enriching and transforming customer data?

Several data platforms excel at enriching and transforming customer data for comprehensive analytics and insights.

Leading data platforms:

  • Snowflake: Cloud-based data warehouse with powerful analytics capabilities and excellent integration with Snowplow
  • Databricks: Unified data analytics platform that integrates with Spark for real-time processing and machine learning
  • Apache Kafka: Distributed event streaming platform that integrates seamlessly with Snowplow for real-time data collection and enrichment

Platform selection criteria:

  • Consider your specific use cases including real-time vs. batch processing requirements
  • Evaluate integration capabilities with existing tools and data sources
  • Assess scalability, cost, and performance characteristics for your data volume and processing needs

Learn How Builders Are Shaping the Future with Snowplow

From success stories and architecture deep dives to live events and AI trends — explore resources to help you design smarter data products and stay ahead of what’s next.

Browse our Latest Blog Posts

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.