WiredTiger is an extensible platform for data management. It supports row-oriented storage (where all columns of a row are stored together), column-oriented storage (where columns are stored in groups, allowing for more efficient access and storage of column subsets) and log-structured merge trees (LSM), for sustained throughput under random insert workloads.

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.

This package is an implementation of psycopg2 using CFFI.

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.

Redis is an advanced key-value cache and store. Redis supports many data structures including strings, hashes, lists, sets, sorted sets, bitmaps and hyperloglogs.

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.

WiredTiger is an extensible platform for data management. It supports row-oriented storage (where all columns of a row are stored together), column-oriented storage (where columns are stored in groups, allowing for more efficient access and storage of column subsets) and log-structured merge trees (LSM), for sustained throughput under random insert workloads.

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 provides a PostgreSQL driver for the Perl5 Database Interface (DBI).

The package aiosqlite replicates the standard sqlite3 module, but with async versions of all the standard connection and cursor methods, and context managers for automatically closing connections.

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

MySQLdb is an interface to the popular MySQL database server for Python. The design goals are:

1. Compliance with Python database API version 2.0 [PEP-0249],

2. Thread-safety,

3. Thread-friendliness (threads will not block each other).

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).

APSW is a Python wrapper for the SQLite embedded relational database engine. In contrast to other wrappers such as pysqlite it focuses on being a minimal layer over SQLite attempting just to translate the complete SQLite API into Python.

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

Tortoise ORM is an easy-to-use asyncio ORM (Object Relational Mapper) inspired by Django. Tortoise ORM was built with relations in mind and admiration for the excellent and popular Django ORM. It's engraved in its design that you are working not with just tables, you work with relational data.

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

This package provides a lightweight wrapper around the sqlite3 database with a simple, Pythonic dict-like interface and support for multi-thread access.

This module was inspired by the excellent DBIx::Abstract. While based on the concepts used by DBIx::Abstract, the concepts used have been 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, so that you don't have to modify your code every time your data changes.

SQL::Tokenizer is a tokenizer for SQL queries. It does not claim to be a parser or query verifier. It just creates sane tokens from a valid SQL query.

Sparql-query is a command-line tool for accessing SPARQL endpoints over HTTP. It has been intentionally designed to feel similar to tools for interrogating SQL databases. For example, you can enter a query over several lines, using a semi-colon at the end of a line to indicate the end of your query. It also supports readline so that you can more easily recall and edit previous queries, even across sessions. It can be used non-interactively, for example from a shell script.

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.

This package provides a Postgres SQL parser as a library.