{"id":102197,"date":"2021-11-03T03:37:16","date_gmt":"2021-11-03T01:37:16","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/proekt-mangodb-razvivaet-realizacziyu-protokola-subd-mongodb-poverh-postgresql"},"modified":"2021-11-03T03:37:16","modified_gmt":"2021-11-03T01:37:16","slug":"proekt-mangodb-razvivaet-realizacziyu-protokola-subd-mongodb-poverh-postgresql","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/proekt-mangodb-razvivaet-realizacziyu-protokola-subd-mongodb-poverh-postgresql","title":{"rendered":"The MangoDB project develops the implementation of the MongoDB database protocol on top of PostgreSQL.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"
The first public release of the MangoDB project is available, offering a layer that implements the document-oriented database protocol MongoDB, running on top of the PostgreSQL database. The project aims to provide the capability to migrate applications using MongoDB to PostgreSQL, along with a fully open software stack. The code is written in Go and distributed under the Apache 2.0 license. <\/p>\n
The program operates as a proxy that translates requests to MangoDB into SQL queries for PostgreSQL, using PostgreSQL as the actual storage. The project is compatible with MongoDB drivers but is still in the prototype stage and does not support the advanced features of the MongoDB protocol, although it is already suitable for translating simple applications. <\/p>\n
The need to move away from using MongoDB may arise due to the project's transition to the proprietary SSPL license, which is based on the AGPLv3 license but is not open, as it contains a discriminatory requirement to supply not only the application code but also the source texts of all components involved in providing the cloud service under the SSPL license. <\/p>\n
It should be noted that MongoDB occupies a niche between fast and scalable systems that operate on key\/value formatted data and relational databases, which are functional and convenient for query formation. MongoDB supports the storage of documents in a JSON-like format, has a sufficiently flexible query language, can create indexes for various stored attributes, efficiently manages large binary objects, supports journaling operations for modifying and adding data to the database, can operate according to the Map\/Reduce paradigm, and supports replication and the creation of fault-tolerant configurations. \n Source: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"