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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.
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.
This package works in conjunction with InflateColumn::DateTime to automatically set update and create date and time based fields in a table.
Peewee is a simple and small ORM (object-relation mapping) tool. Peewee handles converting between pythonic values and those used by databases, so you can use Python types in your code without having to worry. It has built-in support for sqlite, mysql and postgresql. If you already have a database, you can autogenerate peewee models using pwiz, a model generator.
Virtuoso is a scalable cross-platform server that combines relational, graph, and document data management with web application server and web services platform functionality.
DBIx::Class::Cursor::Cached provides a cursor class with built-in caching support.
This library implements a database independent abstraction layer in C, similar to the DBI/DBD layer in Perl. Writing one generic set of code, programmers can leverage the power of multiple databases and multiple simultaneous database connections by using this framework.
This package provides a vector similarity search extension for Postgres. Store your vectors with the rest of your data. It supports:
exact and approximate nearest neighbor search;
L2 distance, inner product, and cosine distance;
any language with a Postgres client.
pgcli is a command line interface for PostgreSQL with autocompletion and syntax highlighting.
Valkey is a high-performance key-value datastore that supports a variety of workloads such as caching, message queues, and can act as a primary database.
fastparquet is a Python implementation of the Parquet file format. fastparquet is used implicitly by dask, pandas and intake-parquet. It supports the following compression algorithms:
Gzip
Snappy
Brotli
LZ4
Zstd
LZO (optionally)
python-pyodbc provides a Python DB-API driver for ODBC.
SDB is a simple key/value database based on djb's cdb disk storage that supports JSON and array introspection.
MySQL Connector/Python enables Python programs to access MySQL databases, using an API that is compliant with the Python Database API Specification v2.0 (PEP 249).
Test::PostgreSQL automatically setups a PostgreSQL instance in a temporary directory, and destroys it when the perl script exits.
This package provides a MySQL driver for the Perl5 Database Interface (DBI).
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.
Because the many-to-many relationships are not real relationships, they can not be introspected with DBIx::Class. Many-to-many relationships are actually just a collection of convenience methods installed to bridge two relationships. This DBIx::Class component can be used to store all relevant information about these non-relationships so they can later be introspected and examined.
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.
MySQLdb is an interface to the popular MySQL database server for Python. The design goals are:
Compliance with Python database API version 2.0 [PEP-0249],
Thread-safety,
Thread-friendliness (threads will not block each other).
This package provides job scheduling capabilities to python-rq (Redis Queue).
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.
SOCI is an abstraction layer for several database backends, including PostreSQL, SQLite, ODBC and MySQL.
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.