Compare AWS Data Exchange vs. Google Cloud Analytics Hub in 2025

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Description

AWS Data Exchange is a service designed to streamline the process of discovering, subscribing to, and utilizing third-party data within the cloud environment. It features an extensive catalog comprising over 3,500 data sets sourced from more than 300 different data providers, which include a variety of formats such as data files, tables, and APIs. This platform allows users to efficiently manage data procurement and governance by centralizing all third-party data subscriptions in one location while also providing the option to transfer existing subscriptions without incurring additional fees. Furthermore, AWS Data Exchange guarantees secure and compliant data usage by integrating with AWS Identity and Access Management (IAM) and offering data encryption both at rest and during transmission. Users can easily incorporate the subscribed data into their AWS ecosystem, enhancing their capabilities for analytics and machine learning projects. The service accommodates multiple data delivery methods, including direct access to data stored in Amazon S3 buckets managed by data providers, enabling subscribers to leverage these files with AWS solutions such as Amazon Athena and Amazon EMR. This comprehensive approach ensures that organizations can harness the power of third-party data while maintaining control and security throughout the process.

Description

Google Cloud's Analytics Hub serves as a data exchange platform that empowers organizations to share data assets securely and efficiently beyond their internal boundaries, tackling issues related to data integrity and associated costs. Leveraging the robust scalability and adaptability of BigQuery, it enables users to create a comprehensive library encompassing both internal and external datasets, including distinctive data like Google Trends. The platform simplifies the publication, discovery, and subscription processes for data exchanges, eliminating the need for data transfers and enhancing the ease of access to data and analytical resources. Additionally, Analytics Hub ensures privacy-safe and secure data sharing through stringent governance practices, incorporating advanced security features and encryption protocols from BigQuery, Cloud IAM, and VPC Security Controls. By utilizing Analytics Hub, organizations can maximize the return on their data investment through effective data exchange strategies, while also fostering collaboration across different departments. Ultimately, this innovative platform enhances data-driven decision-making by providing seamless access to a wider array of data assets.