Amperity vs Treasure AI: The CDP Comparison for Enterprises That Need Options

Treasure Data rebranded to Treasure AI on April 20, 2026, repositioning from an "intelligent CDP" to an "agentic experience platform." The rebrand reflects a strategic expansion from depth in customer data infrastructure toward breadth across marketing execution, including engagement, journey orchestration, personalization, and creative agents. Enterprise buyers evaluating Treasure AI should consider whether this scope expansion aligns with their priorities, particularly if their primary need is a stable data foundation their AI initiatives can build on for the long term.

Treasure AI processes customer data inside its multi-tenant AWS environment. Even in Composable Mode, where the customer's warehouse is positioned as the source of truth, Treasure AI's own documentation confirms that shared data lands in Treasure AI's memory for identity unification, segment refresh, and activation. Migrating away requires extracting and rebuilding identity outputs elsewhere. Amperity Bridge writes resolved profiles, identity outputs, and enriched attributes directly back to Snowflake, Databricks, or BigQuery. If you leave Amperity, the resolved data stays in your warehouse.

No. Per Treasure AI's own documentation, the platform is a multi-tenant solution that runs exclusively in their AWS environment. Amperity offers Bring Your Own Cloud (BYOC), allowing enterprises to deploy customer profiles and data assets within their own AWS or Azure environment. BYOC matters for brands with strict data residency requirements, multi-cloud architectures, or compliance frameworks that require infrastructure ownership.

Treasure AI's pricing scenario was recently flagged as nearly double the next-highest vendor and roughly four times the average across all evaluated CDPs. Amperity uses consumption-based pricing with transparent usage tracking. Because Amperity is lakehouse-native, customers also avoid the duplicate storage costs that arise when a CDP maintains a separate data environment alongside the warehouse.

Treasure AI's identity matching is rules-based deterministic by default, configured and maintained by the customer's team. Probabilistic matching is available but requires custom Treasure Boxes that a services team builds and supports. Amperity's Identity Resolution combines deterministic, machine-learning-based probabilistic, and transitive matching across dozens of purpose-built models, and adapts autonomously as new data sources arrive. Amperity also supports contextual identity, which allows multiple identity graphs to run concurrently against the same customer data, each tuned to a different business unit, use case, or risk tolerance.