Ingest users

Ingest user data from any source.

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Krenalis lets you ingest user data from any source — including real-time event streams, mobile and web applications, backend systems, databases, files, and SaaS platforms. All inbound user records enter a unified ingestion pipeline where Krenalis validates payloads, applies your profile schema, and prepares data for profile unification.

This process forms the foundation for building accurate, deduplicated, and up-to-date customer profiles that power analytics, segmentation, personalization, and activation across your entire stack.

How ingestion works

  1. Ingest user data
    Import event-based user data or batch data from databases, files, and SaaS applications using a typed schema.

  2. Validate and enrich
    Validate incoming records against your schema and enrich them with relevant context to ensure accuracy and completeness.

  3. Harmonize
    Normalize and transform user data so it aligns with your profile schema and is consistent across all sources.

  4. Load into your data warehouse
    Stream identities to your warehouse in real time, ready for analytics, reporting, and AI workloads.

Select where you want to ingest users from

Process collected users

Learn how to manage and unify your collected user data for a complete and reliable customer view.