Advaneo DataMarketplace vs DX Network

Advaneo DataMarketplace catalogs data offers and provides a portal for discovering, licensing, and exchanging data. It stores descriptions rather than providers’ raw data; after a buyer accepts a license and payment is confirmed, the raw data transfers directly from provider to buyer. Discovery includes text search, visual navigation, and machine-learning-based metadata recommendations. Metadata follows a standard based on IDSA standards, and the site says the platform and search support 16 languages. Providers can offer data free or commercially, set license terms and prices, and supply raw data after acceptance and payment. Payments currently support Mastercard and Visa credit cards. An IDS Connector can link file systems, databases, and sensor streams, while authenticated connectors exchange data with one another. Its cloud Workbench provides Jupyter Notebook and lists Python 3, Julia 1.0.1, R, and Ruby 2.5.1 support; common data science libraries are preinstalled and can be extended. The Free plan costs nothing and includes 15 MB of Workbench space and an IDS-Connector trial. Premium is listed at €2,950 a month, with an advanced yearly payment of 25 € monthly. Advaneo was founded in 2002 and is based in Düsseldorf, Germany.

DX Network is an infrastructure marketplace for buying and selling structured data in real time through an API. Its first Tech Industry marketplace covers technology companies, products, investors, investments and news. Buyers can request data combined across publishers in one API request, using DX/SPARQL semantic queries or wrapper endpoints. The network describes a subscriptionless, pay-as-you-go model that charges per datapoint through Ethereum payment channels and DX Tokens; the marketplace is free to try, but transactions use tokens. Its API documentation says Ethereum state channels handle authentication and payment. The maker says listed data is signed and transactions provide cryptographically secured provenance and integrity, while also stating that it makes no assumption about data quality or participant honesty. Buyers can whitelist or blacklist sources. The API and SDK are intended for integration into SaaS products, private apps and algorithms; developer materials include a Python library. The data model represents organizations, articles and products using an OWL 2 ontology. API access is listed for Linux, macOS and Windows.