API archive entry · source-reported
AWS Data Exchange
AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use the AWS Data Exchange APIs to create, update, manage, and access file-based data set in the AWS Cloud. As a subscriber, you can view and access the data sets that you have an entitlement to through a subscription. You can use the APIs to download or copy your entitled data sets to Amazon Simple Storage Service (Amazon S3) for use across a variety of AWS analytics and machine learning services. As a provider, you can create and manage your data sets that you would like to publish to a product. Being able to package and provide your data sets into products requires a few steps to determine eligibility. For more information, visit the AWS Data Exchange User Guide . A data set is a collection of data that can be changed or updated over time. Data sets can be updated using revisions, which represent a new version or incremental change to a data set. A revision contains one or more assets. An asset in AWS Data Exchange is a piece of data that can be stored as an Amazon S3 object, Redshift datashare, API Gateway API, AWS Lake Formation data permission, or Amazon S3 data access. T
Plan the first integration safely
The access fields below come from the connected directory. Their likely implementation impact is explained without assuming provider-specific behavior.
Authentication
OAuth is reported. Confirm flows, scopes, consent, token lifetime, and refresh rules.
Transport
HTTPS is not confirmed. Do not send credentials or production data until secure transport is verified.
Browser access
CORS is unknown. Treat direct browser access as unconfirmed and test before choosing a client-only architecture.
First-request sequence
- Identify the current base URL, version, and endpoint for the use case.
- Confirm how credentials are issued and where they may be stored.
- Test success, invalid input, throttling, unavailable data, and timeouts.
- Record response fields, pagination, caching, and error shapes.
- Add monitoring, retries with backoff, and an appropriate fallback.
Questions to resolve before production
Pricing and quotas
Confirm current plans, free-tier limits, overages, and request ceilings.
Endpoint coverage
Check that the operations and response fields match the intended workload.
Reliability
Look for uptime history, a status page, support routes, and service commitments.
Data and privacy
Review retention, licensing, regional processing, and compliance requirements.
Versioning
Confirm the active version, change policy, deprecation window, and migration guidance.
Developer experience
Validate SDKs, examples, error formats, pagination, and test environments.
Source reference
This page separates source-reported facts from questions that need live provider verification.