data.all vs DX Network

data.all is an open-source platform for managing and discovering data assets in AWS accounts. Its central catalog inventories datasets, tables, folders, and dashboards, with filters for asset type, tags, region, and glossary terms. Datasets can contain structured tables or unstructured folders and use AWS S3, KMS, IAM, and Glue resources. Teams can share datasets between environments by granting selected roles read access through Lake Formation without moving data. The catalog imports tables from Redshift Serverless and provisioned clusters. Analytics options include Athena worksheets, SageMaker Studio access, Jupyter notebooks, and QuickSight dashboards. Administrators manage teams and users across environments. Authentication supports Cognito federation with a corporate identity provider or an external OIDC provider. Deployments may face the internet or remain inside a VPC. AWS setup requires at least two matching-region accounts and administrator credentials.

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.