Most multi-tenant data platforms enforce isolation through row-level filters, query interceptors, and access-control middleware. It works until a missed filter, or a new query path exposes data it shouldn't. Auraa takes a different approach, isolation isn't a layer you add. It's a property of how data is addressed, organized, and retrieved from the start.
This whitepaper documents the three foundational design decisions behind Auraa's multi-tenant architecture on Databricks and how they compound into a system where isolation, consistency, and retrieval performance are structural, not bolted on.
Download the White Paper to Learn:
- Why platform metadata and business data flow through the same Delta medallion and what a single write authority gives you in terms of auditability, quality guarantees, and agent context
- Three configurable tenant isolation strategies, schema-per-project, catalog-per-project, and environment-catalog and how the TenantPathResolver makes isolation a property of addressing rather than filtering
- The GovernanceWriter pattern: how Auraa dual writes to Delta, Lakebase, and the bronze audit trail in one unit of work, delivering sub-second API reads without introducing a second write authority
- How the same pipeline code, quality rules, and agent definitions deploy unchanged across dev, staging, and production with the resolver injecting the correct environment at runtime
- The honest trade-offs: when path resolver correctness becomes critical infrastructure, strategy migration complexity, and the judgment calls behind selective sync