Treasure Data

Leading enterprise CDP known for scalability and big data capabilities, with strong presence in APAC and Fortune 500 accounts

Treasure Data is an enterprise-grade Customer Data Platform (CDP) that collects, unifies, and activates customer data from hundreds of sources to create a single, actionable customer profile. Founded in 2011 and headquartered in Mountain View, California, the company serves large enterprises across retail, automotive, financial services, and media industries, helping them break down data silos and deliver personalized experiences at scale. Treasure Data is particularly known for its ability to handle extremely large data volumes, making it a preferred choice for Fortune 500 companies and global brands with complex, high-volume data environments. The platform combines a robust data ingestion layer, a cloud-based data warehouse, machine learning capabilities, and audience segmentation tools to power marketing activation, customer analytics, and journey orchestration. Its AI and ML features allow marketers and data teams to build predictive models, identify high-value segments, and trigger real-time personalization across channels including email, web, mobile, and paid media. The company was originally acquired by Arm Holdings — a SoftBank subsidiary — in 2018 for approximately $600 million. When SoftBank later negotiated to sell Arm to Nvidia in 2021, Treasure Data's division (Arm's IoT Services Group) was explicitly excluded from that transaction and transferred to SoftBank Group Corp. and its affiliates, including SoftBank Vision Fund 2. Treasure Data secured a $234 million Series D funding round led by SoftBank Corp. in November 2021, and continues to operate as a distinct brand and company within the SoftBank portfolio. In the competitive CDP landscape, Treasure Data differentiates itself through enterprise scalability, a strong presence in the Asia-Pacific market (particularly Japan), deep data engineering capabilities, and a heritage in big data infrastructure. It competes with platforms like Salesforce CDP, Adobe Real-Time CDP, and Tealium, but is often favored by organizations with large, complex data architectures requiring a highly flexible and scalable solution.