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Treasure Data

by Treasure Data

4.4

AI-native CDP with hybrid architecture, real-time data processing, and no-compute pricing for enterprise customer data unification.

📌Key Takeaways

  • 1Treasure Data is a ai marketing AI agent by Treasure Data.
  • 2AI-native CDP with hybrid architecture, real-time data processing, and no-compute pricing for enterprise customer data unification.
  • 3Top strengths: .
  • 4Rated 4.4/5.

Category

AI Marketing

Founded

N/A

Overview

Treasure Data is an AI-native customer data platform (CDP) that provides enterprise companies with unified customer data management, real-time processing capabilities, and flexible deployment options. Founded in 2011 by Kazuki Ohta, Hironobu Yoshikawa, and Sadayuki Furuhashi, the company initially started as a big data platform before pivoting to the CDP space after realizing most use cases were for marketing teams. Yahoo! founder Jerry Yang was one of Treasure Data's angel donors and board members. In 2018, Treasure Data was purchased for $600 million by Arm Ltd. (owned by SoftBank Group), then spun out in 2021 by SoftBank Corp. as an independent company valued near $1 billion. Today, Treasure Data is used by more than 450 organizations worldwide. The platform unifies and manages large volumes of customer data from multiple sources to create comprehensive customer profiles, offering data integration, identity resolution, and audience segmentation. Treasure Data's hybrid architecture delivers flexible deployment with complete and hybrid options, powered by zero-copy integration and data sharing with existing data warehouses. This warehouse-native approach avoids data duplication and reduces infrastructure costs. Key features include real-time data processing allowing organizations to respond swiftly to customer interactions, AI Agent Foundry within the Intelligent CDP for building custom AI agents, built-in AI Agents supporting streamlined segmentation, support for both batch and streaming data ingestion, and enterprise-grade security and compliance certifications. In August 2025, Treasure Data introduced groundbreaking "No Compute" pricing that completely decouples cost from processing resources. Pricing is based primarily on the number of real-time unified customer profiles stored and the volume of associated behavioral events (website visits, mobile app usage, email activities), allowing brands to run unlimited queries, segmentations, and activations without usage-based compute charges. This provides transparent, predictable economics for enterprise deployments. Implementation typically takes 8-12 weeks. Support includes Standard support with live chat and email plus 99.5% uptime commitment, while Premium support offers enhanced capabilities like 30-minute response time for severe issues and a dedicated technical account manager. What differentiates Treasure Data is its hybrid CDP architecture and no-compute pricing model. The platform's ability to work with data in place (zero-copy integration with data warehouses) reduces data movement and storage costs, while the no-compute pricing removes uncertainty about processing costs as data volumes scale.

Key Features

Pros & Cons

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      Frequently Asked Questions

      AI-native CDP with hybrid architecture, real-time data processing, and no-compute pricing for enterprise customer data unification.
      Treasure Data offers advanced AI-powered capabilities designed for AI Marketing teams. For detailed feature information, visit their website.
      Treasure Data is best suited for AI Marketing teams looking to automate and optimize their workflows with AI technology.
      Treasure Data offers Enterprise pricing. For current pricing details and plans, check the vendor's pricing page.
      Treasure Data was founded in 2011.

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