pylibmc is a client in Python for memcached. It is a wrapper around TangentOrg’s libmemcached library, and can be used as a drop-in replacement for the python-memcached library.

DBIx::Simple provides a simplified interface to DBI, Perl's powerful database module. This module is aimed at rapid development and easy maintenance. Query preparation and execution are combined in a single method, the result object (which is a wrapper around the statement handle) provides easy row-by-row and slurping methods.

This package provides a Ruby client that tries to match Redis' API one-to-one, while still providing an idiomatic interface.

Pypika-tortoise is a fork of pypika which has been streamlined for its use in the context of tortoise-orm. It removes support for many database kinds that tortoise-orm doesn't need, for example.

The libdbi-drivers library provides the database specific drivers for the libdbi framework.

The drivers officially supported by libdbi are:

• MySQL,

• PostgreSQL,

• SQLite.

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

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 MySQL driver for the Perl5 Database Interface (DBI).

pg_tmp creates temporary PostgreSQL databases, suitable for tasks like running software test suites. Temporary databases created with pg_tmp have a limited shared memory footprint and are automatically garbage-collected after a configurable number of seconds (the default is 60).

SDB is a simple key/value database based on djb's cdb disk storage that supports JSON and array introspection.

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.

The Lightning Memory-Mapped Database (LMDB) is a high-performance transactional database. Unlike more complex relational databases, LMDB handles only key-value pairs (stored as arbitrary byte arrays) and relies on the underlying operating system for caching and locking, keeping the code small and simple. The use of ‘zero-copy’ memory-mapped files combines the persistence of classic disk-based databases with high read performance that scales linearly over multiple cores. The size of each database is limited only by the size of the virtual address space — not physical RAM.

This package provides aerich, a Python database migrations tool for Tortoise ORM. It can be used both programmatically or as a standalone CLI application.

This package provides a Postgres SQL parser as a library.

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.

This package is an implementation of psycopg2 using CFFI.

This package provides two scripts that will backup PostgreSQL databases in a cluster. They are supposed to be run in scheduled jobs. pg_backup.sh runs regular backups, pg_backup_rotated.sh runs rotated backups.

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

This package provides a Python interface to the Redis key-value store.

This module is nearly identical to SQL::Abstract 1.81, and exists to preserve the ability of users to opt into the new way of doing things in later versions according to their own schedules.

It is an abstract SQL generation module based on the concepts used by DBIx::Abstract, with several important differences, especially when it comes to WHERE clauses. These concepts were modified to make the SQL easier to generate from Perl data structures.

The underlying idea is for this module to do what you mean, based on the data structures you provide it. You shouldn't have to modify your code every time your data changes, as this module figures it out.

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. It provides a full suite of well known enterprise-level persistence patterns, designed for efficient and high-performing database access, adapted into a simple and Pythonic domain language.

python-lmdb or py-lmdb is a Python binding for the Lightning Memory-Mapped Database (LMDB), a high-performance key-value store.

DBD::SQLite is a Perl DBI driver for SQLite, that includes the entire thing in the distribution. So in order to get a fast transaction capable RDBMS working for your Perl project you simply have to install this module, and nothing else.

Cassandra Cluster Manager is a development tool for testing local Cassandra clusters. It creates, launches and removes Cassandra clusters on localhost.