- Authentication
- Caching
- Client
- Concurrency Control
- Data Infrastructure
- Enterprise
- Governance Model
- GraphQL
Show all 18 topics
No article in the knowledge graph for ODATA yet.
Who is ODATA?
OData is an open, OASIS-standardized protocol that defines a RESTful method for building and consuming queryable, interoperable data APIs over HTTP.
- Standardized RESTful data access protocol built on HTTP and web conventions
- Metadata model using the Common Schema Definition Language (CSDL) for entity types and relationships
- Standard query options for filtering, sorting, projection, expansion, and paging
- Batch requests, delta tracking, and concurrency control using entity tags
- Client libraries and server frameworks for multiple programming languages and platforms
Show more
More About ODATA
OData originated within Microsoft and was subsequently advanced through OASIS, where a technical committee maintains the specification and publishes successive versions. OData 4.0 was ratified as an OASIS standard, and the protocol is governed through an open, vendor-neutral process. This governance model is a significant reason the protocol is adopted across heterogeneous enterprise environments.
The architecture exposes data as entity sets, entities, and navigation properties that describe relationships between resources. A service publishes a machine-readable metadata document that describes its schema, which allows generic clients to discover and interact with the data without custom integration code. Consumers use URL conventions and system query options, such as filter, select, expand, orderby, top, and skip, to retrieve precisely the data they require. Payloads are typically expressed in JSON, and the protocol supports standard HTTP methods for create, read, update, and delete operations.
In enterprise settings, OData is commonly used to expose line-of-business data from transactional systems, enterprise resource planning platforms, and data stores to web, mobile, and analytics clients. It is frequently deployed alongside API gateways and integration platforms, which handle authentication, throttling, and lifecycle management. Compared with bespoke REST interfaces, OData offers a consistent query syntax and a shared metadata model that reduce the effort required to build and maintain client integrations. Compared with GraphQL, OData relies on resource-oriented URLs and established HTTP caching behavior rather than a single query endpoint with a custom query language. OpenAPI is often used to document OData services in addition to the protocol's own metadata.
The business and technical significance of OData lies in interoperability. Organizations that standardize on the protocol can connect diverse data producers and consumers with fewer custom adapters, which lowers integration cost and supports long-term maintainability. Within the broader directory of technology solution areas, OData aligns with API management and integration, data infrastructure and access, and open standards for interoperable software. Its position reflects a standards body that defines a protocol rather than a commercial product family, and its relevance is tied to the continued adoption of standardized data APIs in enterprise architectures.
Our description of ODATA. Updated October 2026.
