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SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
Produced by Sybase Inc., now an SAP company, its primary function is to analyze large amounts of data in a low-cost, highly available environment. SAP IQ is often credited [1] with pioneering the commercialization of column-store technology. At the foundation of SAP IQ lies a column store technology that allows for speed compression and ad-hoc ...
The Cypher query language depicts patterns of nodes and relationships and filters those patterns based on labels and properties. Cypher’s syntax is based on ASCII art, which is text-based visual art for computers. This makes the language very visual and easy to read because it both visually and structurally represents the data specified in ...
The following is a list of major features: Over 30 built-in database refactorings; Extensibility to create custom changes; Update database to current version; Rollback last X changes to database; Rollback database changes to particular date/time; Rollback database to "tag" SQL for Database Updates and Rollbacks can be saved for manual review
spatial, supporting spatial queries from points, polygons, and line strings encoded in standard GeoJSON fragments; Containers can also enforce unique key constraints to ensure data integrity. [4] Each Cosmos DB container exposes a change feed, which clients can subscribe to in order to get notified of new items being added or updated in the ...
The programming model becomes what a SQL statement would be like with multiple WHERE clauses. The combination of list-aware subjects and objects plus a pipeline approach can yield extremely expressive queries spanning many different domains of data. Here is a more comprehensive example that illustrates the pipeline using some syntax shortcuts.
Simpler SQL functions can get expanded inline into the calling (SQL) query, which saves function call overhead and allows the query optimizer to "see inside" the function. Procedural Language/PostgreSQL ( PL/pgSQL ) (safe), which resembles Oracle's Procedural Language for SQL ( PL/SQL ) procedural language and SQL/Persistent Stored Modules ...