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 custom SQLite functions written in Python for ranking documents indexed using the SQLite's FTS4 full text search extension.

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.

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.

Sqitch is a standalone change management system for database schemas, which uses SQL to describe changes.

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

DBIx::Class::Cursor::Cached provides a cursor class with built-in caching support.

PickleShare is a small ‘shelve’-like datastore with concurrency support. Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve, many processes can access the database simultaneously. Changing a value in database is immediately visible to other processes accessing the same database. Concurrency is possible because the values are stored in separate files. Hence the “database” is a directory where all files are governed by PickleShare.

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)

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.

This package provides a utility for dumping the contents of an ElasticSearch index to a compressed file and restoring the dumpfile back to an ElasticSearch server

RocksDB is a library that forms the core building block for a fast key-value server, especially suited for storing data on flash drives. It has a Log-Structured-Merge-Database (LSM) design with flexible tradeoffs between Write-Amplification-Factor (WAF), Read-Amplification-Factor (RAF) and Space-Amplification-Factor (SAF). It has multi-threaded compactions, making it specially suitable for storing multiple terabytes of data in a single database. RocksDB is partially based on LevelDB.

litecli is a command-line client for SQLite databases that has auto-completion and syntax highlighting.

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

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.

Memcached is an in-memory key-value store. It has a small and generic API, and was originally intended for use with dynamic web applications.

This package provides mock helpers for SQLAlchemy that makes it easy to mock an SQLAlchemy session while preserving the ability to do asserts.

Normally Normally SQLAlchemy's expressions cannot be easily compared as comparison on binary expression produces yet another binary expression, but this library provides functions to facilitate such comparisons.

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

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.

python-pyodbc provides a Python DB-API driver for ODBC.

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.

This package provides a program to build Entity Relationship diagrams from a SQLAlchemy model (or directly from the database).

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.

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).