A data sharing platform (DSP) automates data sharing in a safe, secure way and alleviates the pain and risks involved in manually sharing data assets. It also makes it easier for organizations to adopt a data product paradigm. Ultimately, DSPs accelerate data usage, improve data literacy, and foster a data-driven organization.

Data Architecture. A DSP is a critical component in an enterprise data architecture and a requirement for self-service analytics and a product development paradigm. A DSP integrates data from diverse domains and systems by providing a central mechanism for publishing and navigating data products.

Versus a Data Catalog. A data sharing platform is not a data catalog, although it shares many of its characteristics. A DSP enables business users to discover data products, like a data catalog, but also to access and subscribe to those data products. A DSP can incorporate metadata from a data catalog when publishing data products.

However, unlike a data catalog, DSPs also enable data developers to query, filter, and aggregate data assets and create data pipelines that can be turned into data products. A DSP also enables business users to access and consume data products directly, either in their own environment or on the DSP itself, using platform-embedded tools of their choice.

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