
Harbr’s data marketplace platform makes it easy for business users to create and securely share access to data products. Internal and external consumers can analyze and tailor data products to their own use cases with intuitive data marketplace tools.
Benefits of a private data marketplace:





Register data and AI assets, and package them into products that users will love – with full control over discovery, access, and use.
Help users explore, understand and compare data and AI products with curated landing pages, intuitive search and smart filters.

Control how people discover and access data and AI by choosing the best workflow: self-serve, request, or allocate.

Accelerate time-to-value with instant access, no-code workflows, and secure collaboration tools.

Your Harbr data marketplace can be deployed on four major cloud platforms. This helps you maintain full control over your data while getting the most out of the services you already know.
Click your cloud platform to learn more.
Harbr’s private data marketplace puts simple discovery at the heart of your data experience. With intuitive data marketplace tools, users can explore and compare data and AI products through curated landing pages, smart filters, and rich metadata. Unlike other data platforms, a data marketplace is designed to be easy to use for non-technical users.
Security and governance are built into the data marketplace platform, keeping your data and your users safe. Permission-aware data discovery ensures users only see what’s approved for them, while subscriptions enforce confidence in how data can be used — and when. Every interaction feels simple, secure, and relevant, with contextual information that makes understanding data effortless.
Harbr’s data marketplace platform makes it easy to work with governed data — even for non-technical users. Ready-to-use data products can be accessed directly (and securely) in the private data marketplace, then easily integrated into existing ecosystems and workflows via intuitive data marketplace tools.
So instead of data being a risky, time-consuming task, data use is safe and productive. Users can spend less time on processes and admin, and more time accelerating data-driven strategies and AI initiatives.

