Oracle recommends that you always use an is jsonĬheck constraint to ensure that column values are valid JSON instances. JSON data textually using the common SQL data types VARCHAR2,ĬLOB, and BLOB, as unparsed character data. The JSON-language standard defines JSON data in a textual way: it isĬomposed of Unicode characters in a standard syntax. Other database data, including using Oracle Call Interface (OCI), and Java Database You can access JSON data stored in the database the same way you access You can also query, from within the database, JSON data that is stored outside Oracle Project JSON data relationally, making it available for relational processes and tools. Oracle Database you can use SQL to join JSON data with relational data. Including transactions, indexing, declarative querying, and views.ĭatabase queries with Structured Query Language (SQL) are declarative. It providesĪll of the benefits of relational database features for use with JSON, Native support for JSON by Oracle Database obviates such workarounds. Applications using JSON data stored in the NoSQL database must then ensure data integrity themselves. To compensate for this shortcoming, a relational database is sometimes used in parallel with a NoSQL database. These allow for storage and retrieval of data that is not based on any schema, but they do not offer the rigorous consistency models of relational databases. JSON data has often been stored in NoSQL databases such as Oracle NoSQL Database and Oracle Berkeley DB. To define the table and column in which it is stored. (The JSON data is schemaless, even though a database schema is used Relational data, JSON data can be stored in the database, indexed, and queried without any Oracle Database supports JSON natively with relational databaseįeatures, including transactions, indexing, declarative querying, and views.
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