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This package provides a lightweight wrapper around the sqlite3 database with a simple, Pythonic dict-like interface and support for multi-thread access.
This package provides an Emacs major mode rec-mode for working with GNU Recutils text-based, human-editable databases. It supports editing, navigation, and querying of recutils database files including field and record folding.
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.
This module tries to split any SQL code, even including non-standard extensions, into the atomic statements it is composed of.
GNU Recutils is a set of tools and libraries for creating and manipulating text-based, human-editable databases. Despite being text-based, databases created with Recutils carry all of the expected features such as unique fields, primary keys, time stamps and more. Many different field types are supported, as is encryption.
This package provides a Python interface to the Redis key-value store.
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.
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.
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.
dogpile.cache is a caching API which provides a generic interface to caching backends of any variety, and additionally provides API hooks which integrate these cache backends with the locking mechanism of dogpile.
This package provides a database interface for Perl.
SQLAlchemy-utils provides various utility functions and custom data types for SQLAlchemy. SQLAlchemy is an SQL database abstraction library for Python.
You might also want to install the following optional dependencies:
python-passlibpython-babelpython-cryptographypython-pytzpython-psycopg2python-furlpython-flask-babel
This package provides job scheduling capabilities to python-rq (Redis Queue).
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
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.
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.
This package provides a Postgres SQL parser as a library.
This package works in conjunction with InflateColumn::DateTime to automatically set update and create date and time based fields in a table.
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.
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.
This package provides a Python client library for CrateDB. It implements the Python DB API 2.0 specification and includes support for SQLAlchemy.
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.
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.