Sold by: Treasure Data
Deployed on AWS
Treasure Data is the Intelligent Customer Data Platform built for enterprise scale: where trust, performance, and AI-first architecture converge to drive measurable business impact.
While legacy clouds and warehouse-native solutions compete in fragmented areas, Treasure Data stands apart as a unified, AI-powered platform that actually delivers on the promise of boosting revenue, lowering marketing costs, and delivering hyper-personalized customer experiences at scale. This is critically important as global enterprises cannot compromise on security, compliance, and agility, especially while embracing AI
4.5
Overview
Treasure Data is the Intelligent Customer Data Platform purpose-built for enterprise scale, where trust, performance, and AI-first architecture converge to drive measurable business impact. Unlike legacy clouds and warehouse-native solutions that compete in fragmented silos, Treasure Data stands apart by unifying marketing, data, and IT teams on a single, AI-powered platform that actually delivers on the promise of boosting revenue, lowering marketing costs, and delivering hyper-personalized customer experiences at scale. Global enterprises, including leaders like ABInBev, Nordstrom, and Mars, choose Treasure Data because of our unique ability to handle complexity without compromising on security, compliance, or agility. With capabilities like the Diamond Record, which unifies first-, second-, and third-party data into a single source of truth; the AI Agent Foundry, which empowers real-time personalization with secure, governed AI agents; and AI Decisioning, which turns every customer interaction into a timely, relevant, and revenue-driving moment, Treasure Data delivers transformative results at every level. Our AI-first architecture enables marketing and CX teams to personalize engagement in real-time, optimize marketing spend, and drive customer lifetime value through more intelligent retention and loyalty. Treasure Data makes AI real for every team, enhancing productivity and boosting ROI across the enterprise. Plus, with flexible deployment options and deep integrations into your existing stack, Treasure Data accelerates time-to-value without disrupting your data ecosystem. Our customers find that doing a free Proof of Concept (POC) is an ideal avenue to rapidly get up to speed on the platform and explore technical use cases at their own pace with direct support from Treasure Data solution engineers. At the end of the POC, our customers have a concrete understanding of the value that a partnership with Treasure Data brings, as well as the expertise required to bring about rapid time to value.
For custom pricing, EULA, or a private contract, please contact aws-marketplace@treasure-data.com , for a Private Offer.
Highlights
- Treasure Data's AI Agent Foundry facilitates the creation and management of AI agents built on a trusted data foundation. This platform allows organizations to easily forge their own AI agents utilizing high-quality data from Treasure Data's Diamond Record, which is known for its clean and reliable customer data.
- For custom pricing, EULA, or a private contract, please contact aws-marketplace@treasure-data.com, for a Private Offer.
Details
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Deployed on AWS
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Pricing
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Treasure Data CDP | Includes Profiles, Behaviors, and Advanced Support | $8,825.00 |
Dimension | Cost/unit |
|---|---|
Additional Usage and Overage as defined on the Order Form | $1.00 |
Vendor refund policy
No refund (except as stated in the Standard Terms)
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Software as a Service (SaaS)
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Resources
Vendor resources
Support
Vendor support
Treasure Data support resources are available via the email below: support@treasure-data.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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25
In Customer Experience Personalization
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In eCommerce
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10
In Data Warehouses, Streaming solutions
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Unified Customer Data Repository
Diamond Record unifies first-, second-, and third-party data into a single source of truth for enterprise customer data management
AI Agent Management and Deployment
AI Agent Foundry enables creation and management of AI agents built on trusted data foundation with secure, governed capabilities for real-time personalization
Real-Time Decision Making
AI Decisioning capability transforms customer interactions into timely, relevant, and revenue-driving moments through intelligent decision automation
Enterprise Security and Compliance
Platform designed with security and compliance as core architectural components to meet global enterprise requirements without compromising agility
Multi-Team Data Unification
Unified platform architecture consolidates marketing, data, and IT teams on a single AI-powered system with flexible deployment options and deep integrations into existing technology stacks
Unified Customer Profile Creation
Comprehensive customer profiles built from all first-party data sources including historic, real-time, and predicted data collected from every user interaction across anonymous and identifiable users.
Real-time Profile Updates
Dynamic profile updates that occur continuously with every customer interaction across multiple devices and touchpoints.
Cross-Device User Unification
Capability to unify known and anonymous users across multiple devices into single customer identities.
AI-Powered Personalization Engine
Automated marketing personalization and targeting powered by artificial intelligence to optimize message delivery and campaign performance.
High-Volume Message Processing
Infrastructure capable of processing billions of emails and millions of personalized messages per hour at scale.
Tag Management System
Manages and deploys tags across web, mobile, offline, and IoT devices for customer data collection
Customer Data Platform with Machine Learning
Unifies and enriches customer data from multiple sources using machine learning capabilities
API Hub
Provides API-based integration capabilities for connecting customer data across systems
AWS Service Integrations
Supports direct integrations with AWS services including EventBridge, Firehose, Redshift, SQS, and S3
Multi-Source Data Collection
Collects and consolidates customer data from offline and online sources in real time
Standard contract
No
No
No
Customer reviews
Information Technology and Services
Seamless Multi-Channel Data Integration with Real-Time 360° Profiles
Reviewed on Jan 29, 2026
Review provided by G2
What do you like best about the product?
Integrates data from multiple channels seamlessly, almost realtime for web activities. Provides activation and segmentation flows makes marketing operations job easy while giving 360 view of the profiles.
What do you dislike about the product?
Journey builder needs some maturity to make it easy to use for general users.
What problems is the product solving and how is that benefiting you?
Combine account data from Salesforce instances B2B and B2C and provide unified view and enrich it further with web activity for realtime segments and activation.
Consumer Goods
Great CDP for Unified Data and Analytics
Reviewed on Jan 16, 2026
Review provided by G2
What do you like best about the product?
Strong analytics capabilities and flexible integration ecosystem.
What do you dislike about the product?
Not as user-friendly unless you have technical expertise.
What problems is the product solving and how is that benefiting you?
Helping to unify customer profiles and segment activation across channels.
Information Technology and Services
Unified Customer Profiles Made Easy, But SQL Skills Needed
Reviewed on Jan 12, 2026
Review provided by G2
What do you like best about the product?
Treasure Data excels at bringing data together from many sources, websites, apps, CRM, support systems, mobile, IoT, etc., into one unified customer profile without requiring a massive engineering team.
What do you dislike about the product?
SQL knowledge is essential for advanced segmentation, transformations, and queries.
What problems is the product solving and how is that benefiting you?
Unifying customer data in one coustomer profile.
Luca V.
Unified Customer Data and Powerful Insights for Teams
Reviewed on Jan 06, 2026
Review provided by G2
What do you like best about the product?
What I like best about Treasure Data CDP is how it brings all customer data together in one place and makes it usable across teams. The platform is very flexible, handles large volumes of data well, and integrates easily with other tools. It helps turn raw data into actionable insights, enabling better personalization and more informed business decisions.
What do you dislike about the product?
What I dislike is that the platform can feel complex at first and has a steep learning curve, especially for non-technical users. Some advanced features require technical expertise to fully leverage, and the user interface could be more intuitive in certain areas.
What problems is the product solving and how is that benefiting you?
Treasure Data CDP solves the problem of fragmented customer data by bringing all data sources into a single platform. This allows us to have a unified view of our customers, improve personalization, and make faster, data-driven decisions. As a result, our marketing and analytics teams work more efficiently and deliver better customer experiences.
Kazi R.
Unified Data Insights, Challenging Setup
Reviewed on Jan 06, 2026
Review provided by G2
What do you like best about the product?
I like the unified data view, ease of integration, and advanced analytics features of Treasure Data Customer Data Platform. I appreciate how it creates a comprehensive view of each customer by unifying data from various sources like CRM systems, social media, and websites.
What do you dislike about the product?
I don't like that Treasure Data Customer Data Platform has a steep learning curve, which doesn't work well for our team. A new user may find the platform complex and require time to understand all the features and functionalities. The initial setup was complex as well.
What problems is the product solving and how is that benefiting you?
I use Treasure Data Customer Data Platform to resolve data silos, inconsistent data, and a lack of customer insights, providing a unified data view and advanced analytics.