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Treasure Data

Enterprise customer data platform with AI-powered insights for large-scale data unification. Treasure Data handles billions of records across first-party and third-party data sources, enabling journey orchestration and predictive analytics.

Founded 2011 Mountain View, CA 201-500 employees Acquired (SoftBank)

Treasure Data Pros & Cons

Key strengths and limitations to consider

Strengths

  • Enterprise CDP with AI capabilities
  • Strong data unification features
  • Extensive integration ecosystem
  • Japanese market expertise

Limitations

  • Complex implementation
  • Enterprise pricing and sales cycle
  • Requires dedicated resources

Ideal For

Who benefits most from Treasure Data

Quick Analysis

Enterprise CDP platform with strong AI and global capabilities. Best for large organizations with complex customer data requirements.

1

Large enterprises with complex data needs

2

Companies with global/APAC presence

3

Organizations needing AI-powered insights

4

Brands with sophisticated personalization needs

Enterprise

Key Features

  • Unified customer profiles from all sources
  • Built-in identity resolution and segmentation
  • Pre-built integrations with major platforms

Popular Integrations

Treasure Data works seamlessly with these tools:

Salesforce for CRM
Adobe Experience Cloud
Google Cloud for infrastructure
AWS for data processing

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