Database driver
A database driver is client software that implements the interface or protocol an application uses to connect to and communicate with a database system.
ScyllaDB in Action
A database driver is client software that implements the protocol and programming interface an application uses to communicate with a database.
- How it is used
- Connects a Python restaurant-review API to ScyllaDB so HTTP endpoints can read and write database data.
- How deep it goes
- Explains installation, Cluster and session setup, prepared queries, type mapping, routing, retries, and authentication through runnable Python patterns.
- Examples
- Uses a Flask restaurant-review API, article queries and writes, an Image dataclass, routing policies, and credentialed cluster setup.
- What you can do after
- Apply it via the Python Scylla driver to connect an API, execute prepared queries, map types, and configure routing or authentication.
Go by Example
A database driver is software that implements a database access interface for communicating with a particular database technology.
- How it is used
- Uses registered drivers to let Go applications access different SQL databases through database/sql and *sql.DB.
- How deep it goes
- Explains registration, Open, PingContext, pooling, and tuning knobs, while deferring driver implementation unless building a driver.
- Examples
- Demonstrates modernc.org/sqlite registration, sql.Open("sqlite", "file:links.db"), and a Dial helper that calls PingContext.
- What you can do after
- Apply it via database/sql to register a SQLite driver, open a pooled database handle, and verify connectivity with PingContext.
Data-Oriented Programming: Reduce software complexity
A database driver is software that enables an application to communicate with a particular database system.
- How it is used
- Connects application code to a database while exposing query results for ordinary data manipulation.
- How deep it goes
- Explains query execution, result conversion, late binding, and validation, but stops short of driver internals.
- Examples
- Uses a book search, SQL result tables, list-of-map results, node-postgres, and JDBC conversion.
- What you can do after
- Apply it via node-postgres or JDBC, convert results into data collections, and validate them before JSON serialization.
Read how Data-Oriented Programming: Reduce software complexity explains database driver →
Quarkus in Action
The MySQL JDBC driver is a Java database-connectivity implementation that enables applications to connect to MySQL and execute database operations.
- How it is used
- Connects Hibernate Panache or traditional Hibernate ORM/JPA data access to the application’s selected relational database.
- How deep it goes
- Explains extension selection and connection configuration, but stops short of driver internals or JDBC API details.
- Examples
- Uses quarkus-jdbc-postgresql commands, Maven dependencies, PostgreSQL connection properties, and an EntityManager persistence example.
- What you can do after
- Operate/configure a Quarkus application with the database-specific driver required by Panache or Hibernate ORM/JPA.
Related concepts
- database/sqlimplemented by · database/sql is Go’s standard-library package providing a database-independent interface for accessing SQL databases through drivers.
- SQLitecontrasts with · SQLite is a self-contained, serverless relational database engine implemented as a software library that stores and queries databases in files or memory.
- ExecutionProfileconfigured by · ExecutionProfile is a database-driver configuration object that controls request execution settings such as retry, row handling, and load-balancing policies.
- ScyllaDBuses · ScyllaDB is a distributed wide-column database compatible with Cassandra’s data model and protocol, designed for high scalability and availability.
- sessionproduces · A session is a bounded interaction context associated with a user, client, or process that may maintain state across related operations or requests.
- databaseuses · A database is an organized collection of persistent data managed by software for storage, retrieval, querying, and modification.
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