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Treasure Data, a leading provider of an AI-powered Intelligent Customer Data Platform (CDP), has launched a revolutionary “No Compute” pricing model. This innovative approach, enabled by its Hybrid CDP architecture, bases costs primarily on unified customer profiles and behavioral events, eliminating unpredictable compute charges and empowering enterprises to leverage data and AI with confidence.
Treasure Data unveils “No Compute” pricing for its CDP platform.
Costs based on customer profiles and behavioral events, not compute.
Hybrid CDP architecture supports flexible, high-performance processing.
Eliminates cost anxiety for unlimited queries and AI-driven activations.
Offers Complete and Composable modes for tailored IT environments.
Enhances personalization, predictive insights, and campaign optimization.
Treasure Data’s “No Compute” pricing model decouples costs from processing resources, addressing a major barrier to full CDP adoption. Unlike traditional models that charge for compute usage or profile counts alone, this approach focuses on the number of unified customer profiles and associated behavioral events, such as website visits or email interactions. This transparent pricing allows brands to run unlimited queries, segmentations, and activations without worrying about escalating costs. “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.”
Enterprises often face a choice between packaged CDPs, which meter profiles and compute, or composable CDPs, which shift processing to cloud data warehouses (CDWs) and incur unpredictable query costs. Treasure Data’s model eliminates this trade-off by offering transparent pricing regardless of compute location. Whether workloads run in Treasure Data’s high-performance database or a customer’s CDW, teams experience consistent performance without infrastructure or cost complexities. This approach ensures predictable economics while maximizing the value of AI-driven outcomes like personalization and campaign optimization.
The “No Compute” pricing is powered by Treasure Data’s Hybrid CDP architecture, which offers two operational modes to suit diverse IT needs. In Complete Mode, Treasure Data’s engine serves as the single source of truth for real-time segmentation, journey orchestration, and AI-driven insights. In Composable Mode, the customer’s CDW remains the source of truth, with Treasure Data acting as a real-time cache for instant activation and AI processing. This dual-mode approach ensures sub-second performance for time-sensitive engagements, preserves data governance, and maximizes return on CDW investments.
Treasure Data’s platform is infused with AI to deliver actionable outcomes, such as enhanced personalization, predictive insights, and optimized campaigns. “The true value is no longer just in data storage and movement, but in the intelligence you apply to it,” said Ohta. By focusing pricing on customer profiles and behavioral events, Treasure Data aligns costs with the value derived from AI-driven results, rather than compute cycles. This model empowers enterprises to scale their CDP usage confidently, knowing costs remain predictable and tied to tangible business outcomes.
Treasure Data’s “No Compute” pricing and Hybrid CDP architecture mark a significant shift in the CDP landscape, offering enterprises a cost-effective, flexible, and AI-driven solution. By removing compute-related cost barriers, the company enables brands to fully harness data and AI for superior customer engagement and business growth.
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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