This Python package provides an API to execute meta-commands (AKA "special", or "backslash commands") on PostgreSQL.

QDBM is a library of routines for managing a database. The database is a simple data file containing key-value pairs. Every key and value is serial bytes with variable length. Binary data as well as character strings can be used as a key or a value. There is no concept of data tables or data types. Records are organized in a hash table or B+ tree.

This package works in conjunction with InflateColumn::DateTime to automatically set update and create date and time based fields in a table.

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.

Sqlparse is a non-validating SQL parser for Python. It provides support for parsing, splitting and formatting SQL statements.

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

Tokyo Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. There is neither concept of data tables nor data types. Records are organized in hash table, B+ tree, or fixed-length array.

python-sql is a library to write SQL queries, that transforms idiomatic python function calls to well-formed SQL queries.

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.

MyCLI is a command line interface for MySQL, MariaDB, and Percona with auto-completion and syntax highlighting.

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.

An SQL to OO mapper with an object API inspired by Class::DBI (with a compatibility layer as a springboard for porting) and a resultset API that allows abstract encapsulation of database operations. It aims to make representing queries in your code as perl-ish as possible while still providing access to as many of the capabilities of the database as possible, including retrieving related records from multiple tables in a single query, "JOIN", "LEFT JOIN", "COUNT", "DISTINCT", "GROUP BY", "ORDER BY" and "HAVING" support.

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).

TDB is a Trivial Database. In concept, it is very much like GDBM, and BSD's DB except that it allows multiple simultaneous writers and uses locking internally to keep writers from trampling on each other. TDB is also extremely small.

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.

Rayforce is a combined engine for performing computations on tables and graphs. It features a Lisp-like language for performing queries and operations.

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

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).

Firebird is an SQL RDBMS with rich support for ANSI SQL (e.g., INSERT...RETURNING) including UDFs and PSQL stored procedures, cursors, and triggers. Transactions provide full ACID-compliant referential integrity.

The database requires very little manual maintenance once set up, making it ideal for small business or embedded use.

When installed as a traditional local or remote (network) database server, Firebird can grow to terabyte scale with proper tuning---although PostgreSQL may be a better choice for such very large environments.

Firebird can also be embedded into stand-alone applications that don't want or need a full client & server. Used in this manner, it offers richer SQL support than SQLite as well as the option to seamlessly migrate to a client/server database later.

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.

Alembic is a lightweight database migration tool for usage with the SQLAlchemy Database Toolkit for Python.

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.

Pebble is a LevelDB/RocksDB inspired key-value store focused on performance and internal usage by CockroachDB. Pebble inherits the RocksDB file formats and a few extensions such as range deletion tombstones, table-level bloom filters, and updates to the MANIFEST format. This package provides command line interface (CLI).

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.