cassandra mongodb comparison

. MongoDB is stored in the Bson structure (binary), which has obvious advantages for mass data storage. Here is a comparison of the operation commands between MongoDB and MySQL。 Role Mysql Mongodb 　 　 　 Server daemon Mysqld Mongod

": "FR", "Valid_until": Isodate ("2019- A-31t23:xx: 00Z ")," person ": {" name ":" Joker "}} {" _id ": ObjectId (" 51f7c7ec8ded44d5ebb8377c ")," cou Ntry ":" US "," Valid_until ": Isodate ("2019- A-31t23:xx: 00Z ")," person ": {" name ":" John "}} {" _id ": ObjectId (" 51f7c7fa8ded44d5ebb8377d ")," Coun Try ":" RU "," Valid_until ": Isodate ("2019- A-31t23:xx: 00Z ")," person ": {" name ":" Michael "}} {" _id ": ObjectId (" 51f7c8058ded44d5ebb8377e ")," p Erson ": {" name ":" Cinderella "}} Su

mongodb vs. mysql command comparison The traditional relational database is usually composed of three hierarchical concepts of database, table, record, and MongoDB is made up of database, collection (collection), Document object composed of three levels. MongoDB is for tables in relational databases, but there is no

Tags: MongoDB script digital comparison collectorMongoDB Scripting has limited computational power to solve complex problems, and is more difficult to use directly. In many cases, it is necessary to read the data out of the main program to complete the operation, and in high-level languages such as Java to write this kind of aggregate operation is also more troublesome. This can be aided by the esproc of th

From:http://yang.u85.us/memcache_redis_mongodb.pdfA comparison of Redis, Memcache, and MongoDB is made from the following dimensions.1. Performanceare relatively high, performance should not be a bottleneck for us.In general, TPS is about the same as Redis and Memcache, more than MongoDB.2, the convenience of the operationMemcache data structure is single. (Key-v

physical memory and virtual memory are not enough, it is estimated that you have no choice but MySQL. In fact, from the data storage principle, I prefer to classify MongoDB as a hard disk database, but the use of mmap as a means of acceleration. Jane said Mmap: mmap system calls are not designed entirely for shared memory. It itself provides a different way of accessing ordinary files than normal, and processes can manipulate ordinary files like re

Inquire:Mysql:SELECT * from user Mongo:Db.user.find () MySQL:SELECT * FROM user WHERE name = ' Starlee ' Mongo:Db.user.find ({' name ': ' Starlee '}) Insert:Mysql:INSERT inot User (' name ', ' age ') VALUES (' Starlee ', 25) Mongo:Db.user.insert ({' name ': ' Starlee ', ' Age ': 25}) If you want to add a field to MySQL, you must: ALTER TABLE user .... But in MongoDB you just need: Db.user.insert ({' name ': ' Starlee ', ' age ': +, ' email ': ' s

Query:MySQL:Select * from userMongo:DB. User. Find () MySQL:Select * from user where name = 'starlil'Mongo:DB. User. Find ({'name': 'starlil '}) Insert:MySQL:Insert inot user ('name', 'age') values ('starlil', 25)Mongo:DB. User. insert ({'name': 'starlee ', 'age': 25 }) To add a field to MySQL, you must:Alter table user ....However, in MongoDB, you only need:DB. User. insert ({'name': 'starlee ', 'age': 25, 'email': 'starlee @ starlee.com '}) Delete:M

Query:MySQL:SELECT * FROM userMongo:Db. user. find ()MySQL:SELECT * FROM user WHERE name = 'starlil'Mongo:Db. user. find ({'name': 'starlil '})Insert:MySQL:Insert inot user ('name', 'age') values ('starlil', 25)Mongo:Db. user. insert ({'name': 'starlee ', 'age': 25 })To add a field to MySQL, you must:Alter table user ....However, in MongoDB, you only need:Db. user. insert ({'name': 'starlee ', 'age': 25, 'email': 'starlee @ starlee.com '})Delete:MySQL

MySQL and MongoDB are open source common database, but MySQL is a traditional relational database, MongoDB is a relational database, also known as a document database, is a NoSQL database. They each have their own advantages, the key is to see where to use. So the SQL (full name structured Query Language) statement that we are familiar with does not apply to MONGODB