{"id":4094,"date":"2022-04-04T12:37:39","date_gmt":"2022-04-04T12:37:39","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=4094"},"modified":"2022-04-04T12:37:39","modified_gmt":"2022-04-04T12:37:39","slug":"mongodb-vs-mysql","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/mongodb\/mongodb-vs-mysql\/","title":{"rendered":"MongoDB Vs MySQL"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n
\u00a0<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 MongoDB<\/strong><\/td>\n\u00a0<\/strong>\u00a0<\/strong>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 MySQL<\/strong><\/td>\n<\/tr>\n
It uses MongoDB Query Language.<\/td>\nIt uses Structured Query language.<\/td>\n<\/tr>\n
No restrictions on schema design.<\/td>\nIt is pre-defined schema design.<\/td>\n<\/tr>\n
It does not support JOIN statements.<\/td>\nIt supports the JOIN statements.<\/p>\n

\u00a0<\/td>\n<\/tr>\n

It uses role-based access control.<\/td>\nIt uses privilege security-based model<\/td>\n<\/tr>\n
Performance becomes faster than MySQL.<\/td>\nPerformance becomes slower than MongoDB.<\/td>\n<\/tr>\n
Key features are Auto sharding, Comprehensive secondary indexes, In-memory speed, Native location, Embedded data models support.<\/td>\nKey features are Triggers & SSL support, provides text searching and indexing, Query caching, Integrated replication support, Different storage engines.<\/td>\n<\/tr>\n
It supports built-in Replication, Sharding and auto elections.<\/td>\nIt supports Master-Slave Replication.<\/td>\n<\/tr>\n
Best fit for unconstructed data, works better for large datasets, High write loads, Data is location-based.<\/td>\nBest fit for data with tables and rows, works better for small datasets, Frequent updates, Modify large volume of records.<\/td>\n<\/tr>\n
The community of MySQL is much better than MongoDB.<\/td>\nIt has a good active community.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"

\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 MongoDB \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 MySQL It uses MongoDB Query Language. It uses Structured Query language. No restrictions on schema design. It is pre-defined schema design. It does not support JOIN statements. It supports the JOIN statements. \u00a0 It uses role-based access control. It uses privilege security-based model Performance becomes faster than MySQL. Performance becomes slower than […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16831],"tags":[16912,16911,16910,16913,16914,16915,16918,16919,16835,16917,16921,16920,16909,16916],"class_list":["post-4094","post","type-post","status-publish","format-standard","hentry","category-mongodb","tag-difference-between-mongodb-and-mysql-and-nosql","tag-difference-between-mongodb-and-mysql-in-tabular-form","tag-difference-between-mysql-and-mongodb","tag-difference-between-mysql-and-postgresql-and-mongodb","tag-difference-between-mysql-oracle-and-mongodb","tag-difference-between-sql-and-mysql-and-mongodb","tag-how-to-use-mongodb-and-mysql","tag-main-difference-between-mongodb-and-mysql","tag-mongodb-vs-mysql","tag-mongodb-vs-mysql-performance","tag-mongodb-vs-mysql-pros-and-cons","tag-mongodb-vs-mysql-use-cases","tag-mysql-vs-mongodb","tag-why-mongodb-is-better-than-mysql"],"yoast_head":"\nMongoDB Vs MySQL - 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