PostgreSQL is a powerful object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video.

Sqlitebrowser lets you create, design, and edit database files compatible with SQLite using a graphical user interface.

The goal for nanodbc is to make developers happy by providing a simpler and less verbose API for working with ODBC. Common tasks should be easy, requiring concise and simple code.

UnQLite is an in-process software library which implements a self-contained, serverless, zero-configuration, transactional NoSQL database engine. UnQLite is a document store database similar to Redis, CouchDB, etc., as well as a standard key/value store similar to BerkeleyDB, LevelDB, etc.

This package provides Guile bindings to the WiredTiger ``NoSQL'' database.

MySQL is a fast, reliable, and easy to use relational database management system that supports the standardized Structured Query Language.

This package provides a library for sending commands and receiving replies to and from a Redis server. It comes with a synchronous API, asynchronous API and reply parsing API. Only the binary-safe Redis protocol is supported.

This package provides a Postgres SQL parser as a library.

MySQL::Config emulates the load_defaults function from libmysqlclient. It will fill an array with long options, ready to be parsed by Getopt::Long.

The MariaDB Connector/C is used to connect applications developed in C/C++ to MariaDB and MySQL databases.

Automatically set and update fields with values calculated at runtime. Ipdate or create actions will set the specified columns to the value returned by the callback you specified as a method name or code reference.

SQL::Translator is a group of Perl modules that converts vendor-specific SQL table definitions into other formats, such as other vendor-specific SQL, ER diagrams, documentation (POD and HTML), XML, and Class::DBI classes. The main focus is SQL, but parsers exist for other structured data formats, including Excel spreadsheets and arbitrarily delimited text files. Through the separation of the code into parsers and producers with an object model in between, it's possible to combine any parser with any producer, to plug in custom parsers or producers, or to manipulate the parsed data via the built-in object model. Presently only the definition parts of SQL are handled (CREATE, ALTER), not the manipulation of data (INSERT, UPDATE, DELETE).

This library provides a Pythonic API wrapper for the reference Arrow C++ implementation, along with tools for interoperability with pandas, NumPy, and other traditional Python scientific computing packages.

MDB Tools is a set of tools and applications to read the proprietary MDB file format used in Microsoft's Access database package. This includes programs to export schema and data from Microsoft's Access database file format to other databases such as MySQL, Oracle, Sybase, PostgreSQL, etc., and an SQL engine for performing simple SQL queries.

This package provides job scheduling capabilities to python-rq (Redis Queue).

Test::PostgreSQL automatically setups a PostgreSQL instance in a temporary directory, and destroys it when the perl script exits.

DBIx::Class::Schema::Loader automates the definition of a DBIx::Class::Schema by scanning database table definitions and setting up the columns, primary keys, unique constraints and relationships.

Python-hiredis is a python extension that wraps protocol parsing code in hiredis. It primarily speeds up parsing of multi bulk replies.

Apache Arrow is a columnar in-memory analytics layer designed to accelerate big data. It houses a set of canonical in-memory representations of flat and hierarchical data along with multiple language-bindings for structure manipulation. It also provides IPC and common algorithm implementations.

DBIx::Class::DeploymentHandler is a tool for deploying and upgrading databases with DBIx::Class. It is designed to be much more flexible than DBIx::Class::Schema::Versioned, hence the use of Moose and lots of roles.

PostgreSQL is a powerful object-relational database system. It is fully ACID compliant, has full support for foreign keys, joins, views, triggers, and stored procedures (in multiple languages). It includes most SQL:2008 data types, including INTEGER, NUMERIC, BOOLEAN, CHAR, VARCHAR, DATE, INTERVAL, and TIMESTAMP. It also supports storage of binary large objects, including pictures, sounds, or video.

This package contains bindings for the ADBC Driver Manager, as well as a DBAPI 2.0/PEP 249-compatible interface on top. This can be used to load ADBC drivers at runtime and use them from Python. Backend-specific packages like adbc_driver_postgresql wrap this package in a more convenient interface, and should be preferred where they exist.

This module provides connection pool implementations that can be used with the psycopg PostgreSQL driver.

TimescaleDB is a database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.