Compare the Top Data Monetization Platforms that integrate with Snowflake as of October 2025

This a list of Data Monetization platforms that integrate with Snowflake. Use the filters on the left to add additional filters for products that have integrations with Snowflake. View the products that work with Snowflake in the table below.

What are Data Monetization Platforms for Snowflake?

Data monetization platforms enable businesses to unlock the financial value of their data by offering tools for analysis, packaging, and secure sharing with third parties. These platforms allow companies to sell or license their data to industries like marketing, finance, and technology, where insights derived from data drive strategic decisions. AI training data is one area where these platforms are highly useful, providing high-quality datasets for training machine learning models, but they also support broader applications such as customer segmentation, trend analysis, and product optimization. They ensure compliance with data privacy regulations, offering features for secure transactions and managing data access rights. Ultimately, data monetization platforms help organizations transform raw data into revenue-generating assets while optimizing their internal and external data strategies. Compare and read user reviews of the best Data Monetization platforms for Snowflake currently available using the table below. This list is updated regularly.

  • 1
    Harbr

    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.
  • 2
    DataMarket

    DataMarket

    RightData

    Find, access, and take action on your data. Make it easy for your users to find the data they need with a user-friendly, AI-powered gallery of all your business's available data. Designed to democratize data access within your organization, offering a seamless online shopping experience for exploring, finding, evaluating, and taking action on data assets distributed across the enterprise. An online shopping experience that makes your data products easily findable and actionable by data consumers. Findability is enhanced as data products are organized by domains, tagged, and classified. Actionability is simplified as consumers are able to use existing BI and analytic tools or they can interact with the data using NLP. Make it easy to control access to data across the organization. Set permissions by role for access to data products and easily grant access to data product requests.
  • 3
    DataPostie

    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.
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