mongodb comparison

We always see our advantages and disadvantages in the comparison, which is the same for mongodb. The comparison study allows us to master the basic knowledge about mongodb as soon as possible. Comparison between mongodb and mysql

We always see our advantages and disadvantages in the comparison, which is the same for mongodb. the comparison study allows us to master the basic knowledge about mongodb as soon as possible. Comparison between mongodb and mysql

-place the mechanism of direct modification rather than the use of MVCCWrite using C + +10. Applicable scenariosIf you are building a Lotus Notes-based application, we recommend the use of COUCHDB, mainly due to its MVCC mechanism. In addition, if we need a master-master architecture that requires geo-location-based data distribution, or if the data nodes may not be in line, we recommend using COUCHDB.If you need high-performance storage services, we recommend

We are going to perform a simple test on reading and writing MongoDB, Redis, and Tokyo Tyrant. To perform a fair test, we need to understand the implementation mechanism behind them. Below are some comparisons:Comparison of storage implementation:* Memory File Image (Memory-File Mapping) Redis, MongoDB* File + Cache Tokyo Tyrant* Memory: Redis, Tokyo TyrantKey/Value index format:* B + Tree:

and switch to the MongoDB directory:CD Usr/local/mongodbThen use the Bin/mongo command to connect to the database./bin/mongo localhost:10001Access via browserIn the browser address bar, enter: http://localhost:10001/and then enter to accessYou can see the following prompt: You is trying to access MongoDB on the native driver port. For HTTP diagnostic access, add the port numberThen follow the prompts to ad

. 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

calculating the number of bars that are greater than a certain value.Like what:Sqlselect Count (*) from scores where lid = $ and score > $2//mongodb.scores.find ({lid:lid, score: {$gt: Score}}). Co UNT ()Because the rankings and pagination implementations are similar in principle, the results are virtually the same. The test results are as follows: MONGO Top Rank 1.155847MONGO average 22.291007 Redis Top Rank 0.169442Redis average 0.162205 PG Top Rank 0.714144PG Average 21.771570

processing methods are different. Apsaradb for MongoDB is recommended for cluster deployment.It is more focused on process sequential writing. Although clusters are supported, it is also limited to master-slave mode. Metrics MongoDB (v2.4.9) Redis (v2.4.17) Comparison description Implementation Language C ++ C/C ++ -

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

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

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