Treasure Data
Treasure Data unifies fragmented customer data into actionable profiles for enterprise activation.
Treasure Data is an enterprise customer data platform (CDP) that unifies customer data from 200+ sources into a single, actionable customer profile without requiring a dedicated data warehouse. The platform enables data collection, unification, segmentation, and activation across marketing channels, solving the problem that organizations spend ~80% of their time integrating and processing scattered data. Treasure Data serves over 450 global enterprises including Subaru, AB InBev, and Stellantis, and recently pioneered a 'No Compute' pricing model that decouples costs from processing resources.
Problem solved
Organizations struggle with siloed customer data scattered across multiple systems, spending up to 80% of their time on data integration and formatting instead of customer activation.
Target customer
Large enterprises (2000+ employees) in retail, automotive, CPG, and hospitality with customer data scattered across 10+ sources and annual marketing budgets exceeding $10M.
Founders
K
Kazuki Ohta
Co-founder
Distributed systems expert with contributions to Apache Hadoop community; deep expertise in parallel and distributed computing.
H
Hironobu Yoshikawa
Co-founder
Waseda-educated software engineer with prior experience at Red Hat and Mitsui Ventures.
S
Sadayuki Furuhashi
Co-founder
Active open-source project creator with deep software engineering background.
Funding history
Series A
$7.7M
Q3 2013
Led by Sierra Ventures
· Unknown
Series B
$15M
2015
Led by Scale Venture Partners
· Unknown
Series C
$11.3M
2016
Led by SBI Ven Capital
· Unknown
Acquisition
$600M
2018
Led by Arm Ltd. (SoftBank Group)
· Unknown
Series D (Post-spinout)
$234M
November 2021
Led by SoftBank Corp.
· Unknown
Total raised:
$301M
Industries
Pricing
Profile-based and event-based pricing model launched August 2025. Charges per unified customer profile stored and behavioral events (website visits, app usage, email activities). Annual contracts required; range $100,000–$750,000+ depending on profile volume and event throughput. Free proof of concept available.
Notable customers
Subaru, AB InBev, Stellantis, Yum! Brands, and 450+ organizations worldwide
Integrations
Integration Hub connects 200+ data sources including major cloud data warehouses, marketing platforms, and analytics tools. Hybrid architecture allows data to reside in customer-owned cloud environments (AWS, GCP, Azure) with centralized management.
Website
Competitors
Tealium Customer Data Hub
Marketing-focused CDP with strong tag management heritage; less emphasis on unified data infrastructure and hybrid cloud architecture.
Twilio Segment
Developer-first CDP with strong API and integration focus; positioned for technical teams rather than enterprise marketing operations.
Blueshift
AI-native CDP with emphasis on automated campaign orchestration; less comprehensive data unification and warehouse flexibility.
Adobe Experience Platform
Broader marketing ecosystem with heavy Adobe integration; higher cost and complexity for organizations not invested in Adobe stack.
Bloomreach
Focused on commerce and personalization; narrower scope than Treasure Data's enterprise customer data platform approach.
Why this matters: Treasure Data pioneered hybrid CDP architecture and has achieved rare scale ($301M raised, $1B valuation post-spinout from SoftBank/Arm) with 450+ enterprise customers. The August 2025 launch of 'No Compute' pricing signals a strategic shift in how enterprise CDPs monetize—decoupling costs from compute resources sets a precedent competitors will likely follow.
Best for: Fortune 500 and mid-market enterprises that need a unified customer view across dozens of data sources and want to avoid building custom data infrastructure.
Use cases
Multichannel Audience Segmentation & Activation
Subaru unified customer data across 12+ sources and created high-intent audience segments, achieving a 350% increase in ad click-through rates and 250% increase in conversion rates. Treasure Data's audience studio and journey orchestration enable real-time segmentation and cross-channel activation without manual data exports.
Accelerated Segment-to-Campaign Workflow
A retail customer compressed their segment-to-launch process from 5 days to 8 hours using Treasure Data's AI Super Agents. The platform's unified profiles and AI-assisted discovery identified a 340,000-profile high-intent segment that manual analysis had missed, resulting in 23% conversion lift.
Data Warehouse Independence
Organizations avoid investing in custom data warehouse infrastructure by leveraging Treasure Data's hybrid architecture, which manages unification and activation while keeping data in customer-owned cloud environments, reducing engineering overhead and Total Cost of Ownership.
Alternatives
Salesforce Customer Data Cloud (formerly Einstein)
Deeply integrated with Salesforce ecosystem; better for orgs already committed to Salesforce, but higher switching costs and less flexibility for multi-cloud data strategies.
Fivetran + dbt
Lower-cost, open-source approach to data integration and transformation; requires more engineering effort but offers maximum flexibility for technical teams.
Improvado
Marketing data platform focused on advertising and analytics; narrower scope than Treasure Data's full-stack CDP capabilities.
FAQ
What does Treasure Data do? +
Treasure Data is an enterprise customer data platform (CDP) that unifies customer data from 200+ sources into a single, actionable profile. It enables data collection, unification, segmentation, and real-time activation across marketing channels without requiring customers to build or maintain their own data warehouse. The platform serves 450+ enterprises globally.
How much does Treasure Data cost? +
Treasure Data uses profile-based and event-based pricing (launched August 2025). Costs typically range from $100,000 to $750,000+ annually, depending on the number of unified customer profiles managed and behavioral event volume. Annual contracts are required, and free proofs of concept are available.
What are alternatives to Treasure Data? +
Top alternatives include Tealium (marketing-focused CDP), Twilio Segment (developer-first), Blueshift (AI-native), Adobe Experience Platform (broader marketing ecosystem), and open-source approaches like Fivetran + dbt. Choice depends on technical depth required, existing stack, and budget.
Who uses Treasure Data? +
Treasure Data serves large enterprises (2000+ employees) in retail, automotive, CPG, hospitality, and financial services with complex, multi-source customer data. Notable customers include Subaru, AB InBev, Stellantis, and Yum! Brands. Target buyers are VP/C-level marketing operations and chief data officers.
How does Treasure Data compare to Tealium? +
Both are enterprise CDPs, but Treasure Data emphasizes hybrid cloud architecture and unified data infrastructure, while Tealium has a heritage in tag management and is more marketing-operations focused. Treasure Data better suits organizations with complex data warehouse environments; Tealium is stronger for tag-driven, marketing-first teams.
Tags
CDP
customer data platform
data unification
customer profiles
marketing activation
big data
enterprise
B2C
hybrid cloud
data integration