mongodb vs relational database performance

Tags: MONGO field example mail each add intermediate DDR addressTalk about the difference between relational database and non-relational database the first bomb Take the two most popular databases now: MySQL and MongoDB (a product between

performance;2, fixed table structure;3, high concurrent reading and writing needs;4. High-efficiency reading and writing of massive data;Non-relational databaseMongoDb, Redis, HBase1, using key value to store data;2, distributed;3, generally do not support acid characteristics;4, non-relational database is strictly no

. Insert the document DB. Collection name. Insert ({property Name: Property value}) 8. Query Document: Db.book1.find () 9. Document deletion: Db.book1.remove ({"Name": "Tom"}) 10. Documentation Update: Db.book1.update ({},{}) 11. Create a Database Implicitly creating use DB Db.c.insert ({name: "DB"}) 12. Database Delete Db.dropdatabase () Db.dropdatabase () These are simple commands to share with y

Tags: high key value concurrent traditional images concurrency method database transaction ProcessingFirst, relational databaseThe most typical data structure of a relational database is a table, which consists of a two-dimensional table and the linkage between them.Advantages:1, easy to maintain: all use the table str

: Using Mongodb.bson;Using Mongodb.driver; To perform data operations, first instantiate a mongoclient var client = new Mongoclient ("mongodb://127.0.0.1:27017"); Then create DATABASE and collection var database = client. Getdatabase ("foo");var collection = database. Getcollec

Tags: blog http io os ar using Java strong SPA brief introduction to 1.1 MongoDBIn today's database market, MySQL is undoubtedly a place to occupy. As an open-source relational database , MySQL is widely used in the background of major web sites, and assumes the important role of information storage. In 2009, Oracle acquired Sun, and MySQL became Oracle's product

performance. Depending on the structure method and the application situation, the following categories are mainly divided into:Key-value database for high-performance concurrency reading and writing:The main features of the Key-value database, even with extremely high concurrent read and write

the form of a two-dimensional table! a two-dimensional table is made up of rows and columns, knowing that the row and column numbers will be able to locate the data in the table! Excel is a two-dimensional table! Easy to use, the basic common SQL language makes it easy to operate relational databases! SQL is supported , so complex queries can be made! easy to maintain, rich integrity (domain integrity, entity integrity, referential integrity, and

I. Relational databases are facing the pressure of data access. Generally, the solution steps take MySQL as an example)1. Master-slave replication for read/write splitting or distributed read; 2. There are many read requests. You can add cache servers, such as Memcached, to improve read performance; however, you must manually maintain data consistency. 3. For scenarios with many write requests, you can simp

invalidated, is a large-grained cache, in the web2.0 for the interaction of frequent applications, Cache performance is not high. NoSQL's cache is record-level and is a fine-grained cache, so NoSQL has a lot of performance at this level. 3. Flexible Data Model NoSQL can store custom data formats at any time without having to create fields in advance for the data to be stored. In the

relational databases (MySQL and Oracle) 1. There is a relationship between tables and tables, tables and fields, data and data Advantages: 1. There is a relationship between the data, the data can be deleted and modified to check the time is very convenient 2. Relational databases have transactional operations that ensure data integrity and consistency. Disadvantages: 1. Because the data and data are

MongoDB is a cross-platform, document-oriented database that provides high performance, high availability, and scalability convenience. MongoDB works on the concept of collection and documentation.Database: A database is a collection of physical containers. Each

write performance is relatively poor;2, fixed table structure;3, high concurrent reading and writing needs;4. High-efficient reading and writing of massive data; Non-relational databaseMongoDb, Redis, HBase 1, the use of key value to store data;2, distributed;3, generally does not support the acid characteristic;4, the non-relational

database market rapid development, and will have a greater potential for growth, performance as follows: First of all, in the last five years, the concept of user selection has undergone significant changes, more users to the importance of the database in a very important position, The main reason is that users will put application software and application requi

will be a barrier to performance. NoSQL (document, column, K-v, and so on) are horizontally scaled , without the need to pre-define the mode of operation, so there is no need to change the mode of operation when demand changes. Next I'll use sequoiadb to introduce the document-based NoSQL database technology.3. Data Model: Relational vs Document TypeIt compares

MongoDB database introduction installation configuration, mongodb DatabaseApsaradb for MongoDB is a distributed file storage-based open-source NoSQL database system written in C ++. It adds more nodes under high loads, this service guarantees server

Source: http://www.cnblogs.com/chay1227/archive/2013/03/17/2964020.htmlThe relational database represents all of the data through the two-dollar representation of rows and columns.The benefits of a relational database:1. Maintain data consistency (transaction processing)2. Due to standardization, the cost of updating d

A brief introduction to 1.1 MongoDB In today's database market, MySQL is undoubtedly a place to occupy. As an open-source relational database , MySQL is widely used in the background of major web sites, and assumes the important role of information storage. In 2009, Oracle acquired Sun, and MySQL became Oracle's

Tags: Lucene style blog Color http intHubbledotnet starting from 1.2.3 version in the official code to support and MongoDB docking, MongoDB is a 10gen company developed No-sql database, its read and write performance than traditional relational

entire operation changes to O (NLOGN):You can see that relationships organized by association tables are not performing well at run time. If the datasets we need to manipulate contain a lot of relationships and are primarily working on these relationships, you can imagine how bad the performance of the relational database will become.In addition to