Mimesis vs PostgreSQL
Overview
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CLI (Node.js)
Manual
Detailed Comparison
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions. | It is a high-performance fake data generator for Python, which provides data for a variety of purposes in a variety of languages. The fake data could be used to populate a testing database, create fake API endpoints, create JSON and XML files of arbitrary structure, anonymize data taken from production and etc. |
| - | Easy: Designed to be easy to use and learn;
Multilingual: Supports data for a lot of languages;
Performance: The fastest data generator available for Python;
Data variety: Supports a lot of data providers for a variety of purposes;
Country-specific data providers: Provides data specific only for some countries;
Extensibility: You can create your own data providers and use them with Mimesis;
Generic data provider: The simplified access to all the providers from a single object;
Zero hard dependencies: Does not require any modules other than the Python standard library;
Schema-based generators: Provides an easy mechanism to generate data by the schema of any complexity |
Statistics | |
GitHub Stars 19.0K | GitHub Stars 4.6K |
GitHub Forks 5.2K | GitHub Forks 344 |
Stacks 103.1K | Stacks 0 |
Followers 83.9K | Followers 0 |
Votes 3.6K | Votes 0 |
Pros & Cons | |
Pros
Cons
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Integrations | |
| No integrations available | |
What are some alternatives to PostgreSQL, Mimesis?
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
dbForge Studio for MySQL
It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
SQLite
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
MariaDB
Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
dbForge Studio for Oracle
It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.
dbForge Studio for PostgreSQL
It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.
