A Standardized Data API refers to a set of protocols and rules for accessing and manipulating data stored in a database or other data source. This API provides a standardized way for applications to interact with data regardless of the underlying data storage technology or platform.
The main benefit of a standardized data API is that it allows different applications to share and exchange data easily and efficiently. This can help reduce duplication of effort and improve overall productivity. Additionally, standardized data APIs can help ensure data security, as they often include built-in authentication and authorization mechanisms.
Some examples of standardized data APIs include ODBC (Open Database Connectivity), JDBC (Java Database Connectivity), and ADO.NET (ActiveX Data Objects for .NET). These APIs provide a standard interface for accessing relational databases, which are commonly used in enterprise applications.
More recently, there has been a push towards standardized data APIs for non-relational databases, such as document-oriented databases and graph databases. Some examples of these APIs include MongoDB’s MongoDB API and Neo4j’s Cypher query language.
Overall, the use of standardized data APIs can help simplify data integration and increase data accessibility across different applications and platforms.