Transparent pricing model is primarily based on customer profiles and behaviors

Treasure Data, the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI, today unveiled a groundbreaking “No Compute” pricing model that completely decouples cost from processing resources. Enabled by Treasure Data’s Hybrid CDP architecture, the new model primarily charges for the number of unified customer profiles stored and the behavioral events associated with them, allowing brands to run unlimited queries, segmentations and activations without fear of runaway bills.

“Predictable costs should be a right, not a luxury,” said Kaz Ohta, co-founder and CEO of Treasure Data. “Our ‘No Compute’ pricing removes the biggest barrier to full CDP adoption – cost anxiety – so every team can activate data and AI agents with confidence.”

Solving the industry’s cost dilemma

Enterprises have long been forced to choose between two imperfect options:

• Packaged CDPs that primarily meter the number of profiles and compute.

• Composable-only CDPs that primarily meter the number of profiles and shift all processing to a cloud data warehouse (CDW), creating unpredictable query charges.

Treasure Data’s pricing ends this trade-off by separating economics from compute location. Customers enjoy transparent pricing based primarily on the number of real-time, resolved customer profiles managed and the volume of associated behavioral events (e.g., website visits, mobile app usage, email activities, etc.).

Whether workloads run in Treasure Data’s high-performance database engine or inside the customer’s CDW environments, your teams enjoy the same consistent experience — without having to think about infrastructure or cost complexities.

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“The true value is no longer just in data storage and movement, but in the intelligence you apply to it,” said Ohta. “Treasure Data is infused with AI everywhere, and now our customers pay for the value they get from AI-driven outcomes like better personalization, predictive insights, and campaign optimization — not for the underlying compute cycles.”

Powered by Hybrid CDP architecture

Treasure Data’s Hybrid CDP architecture lets IT teams implement the optimal processing environment based on their preferences and use case suitability:

• Complete Mode – Treasure Data’s engine acts as the single source of truth for real-time segmentation, journey orchestration, and AI.

• Composable Mode – The customer’s CDW remains the source of truth while Treasure Data serves as a real-time cache for instant activation and AI.

This dual-mode approach preserves governance, maximizes CDW ROI, and guarantees sub-second performance for time-sensitive engagement.

Availability

The “No Compute” pricing model is generally available today for new customers and for existing Treasure Data customers that wish to transition.

Interested organizations can learn more during an upcoming webinar on September 8, The Power of a Hybrid CDP: Connected Experiences with Predictable Costs, or by contacting Treasure Data for a personalized cost analysis.

Treasure Data is the Intelligent Customer Data Platform (CDP) built for enterprise scale and powered by AI. Global brands across automotive, CPG, retail, entertainment, and more rely on Treasure Data to unify customer data, fuel real-time personalization, and drive measurable business outcomes.

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