Evaluating a source-available Customer Data Platform architecture requires assessment of multiple technical and business factors.

Core platform capabilities:

• Modularity: Can the platform be customized and extended as your data needs grow and evolve?
• Data sources integration: Does the CDP integrate seamlessly with your existing data sources including Snowplow and Kafka?
• Real-time processing: Does the CDP support real-time event processing and analytics for immediate customer intelligence?

Compliance and governance:

• Data privacy and compliance: Does the CDP adhere to regulations like GDPR with features like data pseudonymization?
• Security: Are there robust security controls for data access, encryption, and audit trails?
• Data governance: Does the platform provide comprehensive data lineage and quality management?

Scalability and cost considerations:

• Cost and scalability: Does the architecture scale effectively without prohibitive costs as data volume grows?
• Integration flexibility: How easily can the platform integrate with existing tools and future technology adoption?
• Support model: What level of vendor support is available while maintaining source code access?

Snowplow's event pipeline and trackers enable implementation of these capabilities with granular, first-party data and real-time processing.