Best Data Exchange Platforms for Google Cloud Platform
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Compare the Top Data Exchange Platforms that integrate with Google Cloud Platform as of April 2026
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This a list of Data Exchange platforms that integrate with Google Cloud Platform. Use the filters on the left to add additional filters for products that have integrations with Google Cloud Platform. View the products that work with Google Cloud Platform in the table below.
What are Data Exchange Platforms for Google Cloud Platform?
Data exchange platforms are platforms and digital ecosystems that facilitate the secure and efficient sharing of data between organizations, individuals, or systems. These platforms provide standardized protocols and tools to enable seamless data integration, ensuring interoperability across diverse formats and systems. They often include features such as data encryption, access control, and compliance management to maintain privacy and regulatory adherence. By streamlining data sharing, these platforms promote collaboration, innovation, and decision-making across industries like healthcare, finance, and logistics. Their use reduces data silos, enhances scalability, and unlocks new opportunities for data-driven insights. Compare and read user reviews of the best Data Exchange platforms for Google Cloud Platform currently available using the table below. This list is updated regularly.
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1
Snowflake
Snowflake
Snowflake is a comprehensive AI Data Cloud platform designed to eliminate data silos and simplify data architectures, enabling organizations to get more value from their data. The platform offers interoperable storage that provides near-infinite scale and access to diverse data sources, both inside and outside Snowflake. Its elastic compute engine delivers high performance for any number of users, workloads, and data volumes with seamless scalability. Snowflake’s Cortex AI accelerates enterprise AI by providing secure access to leading large language models (LLMs) and data chat services. The platform’s cloud services automate complex resource management, ensuring reliability and cost efficiency. Trusted by over 11,000 global customers across industries, Snowflake helps businesses collaborate on data, build data applications, and maintain a competitive edge.Starting Price: $2 compute/month -
2
Explorium
Explorium
Explorium offers a first-of-its-kind data science platform powered by automatic data discovery and feature engineering. By automatically connecting to thousands of external data sources (premium, partner, and public) and leveraging machine learning to distill the most impactful signals, the Explorium platform empowers data scientists and business leaders to drive decision-making by eliminating the barrier to acquiring the right data and fueling superior predictive power. Try it for free at www.explorium.ai/free-trialStarting Price: $50K/year -
3
Harbr
Harbr
Create data products from any source in seconds, without moving the data. Make them available to anyone, while maintaining complete control. Deliver powerful experiences to unlock value. Enhance your data mesh by seamlessly sharing, discovering, and governing data across domains. Foster collaboration and accelerate innovation with unified access to high-quality data products. Provide governed access to AI models for any user. Control how data interacts with AI to safeguard intellectual property. Automate AI workflows to rapidly integrate and iterate new capabilities. Access and build data products from Snowflake without moving any data. Experience the ease of getting more from your data. Make it easy for anyone to analyze data and remove the need for centralized provisioning of infrastructure and tools. Data products are magically integrated with tools, to ensure governance and accelerate outcomes. -
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Bobsled
Bobsled
Deliver data into your consumer’s cloud data lake or warehouse—without ever leaving your own. Connect Bobsled to your source, pick the bucket or warehouse where you want the data to go—and Bobsled handles the rest. No accounts to manage or pipelines to build.Bobsled is built on each platform’s sharing protocol to bring data providers the security and ease of modern sharing without the pain and complexity of multi-cloud management. Data integration accounts for 70% of the time teams spend with external datasets. Empower your customers to get to analysis faster by sharing ready-to-query data directly into the platforms where they work. Track and manage every share from one interface. Initiate shares, automate transfers, resolve errors, and monitor usage. -
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Google Cloud Analytics Hub
Google
Google Cloud's Analytics Hub is a data exchange platform that enables organizations to efficiently and securely share data assets across organizational boundaries, addressing challenges related to data reliability and cost. Built on the scalability and flexibility of BigQuery, it allows users to curate a library of internal and external assets, including unique datasets like Google Trends. Analytics Hub facilitates the publication, discovery, and subscription to data exchanges without the need to move data, streamlining the accessibility of data and analytics assets. It also provides privacy-safe, secure data sharing with governance, incorporating in-depth governance, encryption, and security features from BigQuery, Cloud IAM, and VPC Security Controls. By leveraging Analytics Hub, organizations can increase the return on investment of data initiatives by exchanging data. Analytics Hub is based on the scalability and flexibility of BigQuery. -
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DataPostie
DataPostie
DataPostie is a SaaS platform that empowers you to safely and easily monetize or share your data. We connect to and deliver to any data source, type, and destination. Make your data products more valuable, and fast. Turn your data into a revenue generator. Messy data is the number one hurdle companies face in turning their data from a cost center into a revenue generator. While organization-wide data cleaning and data quality are long-term projects, we reduce the time it takes from years to weeks by focusing solely on the data needed for the customer-facing data product and leveraging our data domain expertise. Notable wins include enabling a fashion ecommerce company to build a market benchmarking product for its suppliers by matching millions of different product names across suppliers and building a data model for a financial data provider's messy schema in days. -
7
Magic EDI Service
Magic Software Enterprises
The Magic EDI service platform is a centralized solution designed to automate B2B data exchanges with business partners, enhancing efficiency, accuracy, and agility. It supports a wide range of EDI messages and transport protocols, enabling seamless integration with various systems. The platform's one-to-many architecture allows for a single connection per business process, regardless of the number of connected partners, simplifying deployment and maintenance. With over 10,000 preconfigured EDI partner profiles and more than 100 certified connectors to internal business systems such as SAP, Salesforce, SugarCRM, and JD Edwards, the Magic EDI platform facilitates rapid digital connections. Additionally, it offers a self-service onboarding portal for partners, reducing setup costs and time. The platform ensures end-to-end visibility into each EDI transaction, automates supplier updates through standard EDI messages and integrates with freight management systems.
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