mongodb vs relational database performance

high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHDB

: The main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data

main features of the Key-value database, even with extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in ma

Relational Database V. S. Non-relational database, relational database v. sThe most important feature of a relational database is transactio

database classification Because of the nature of the relational database itself, and the time is relatively short, therefore, do not want to relational database, there are several databases can unified Jiangshan, relational

science, the cap theorem, also known as the brewer theorem, points out that for a distributed computing system it is not possible to meet the following three points simultaneously: • Consistency (all node words have the same data at the same time) • Availability (ensure that every request word has a response regardless of success or failure) • Segregation tolerance (loss or failure of any information in the system does not affect the continued operation of the system) The core of CAP theory is

usability and extensibility are better, The disadvantage is the implementation of complex and potential performance issues . do not share : any CPU can only access its own main memory and disk . The benefits are also scalability and availability, The disadvantage is to achieve complex and complex equalization . Hybrid : The system as a whole is a shared nothing schema, but the nodes may be inside other architectures.

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 performance, Redis,tokyo Cabinet,flare is the representative of this class.

technology, and relational database 10几 years of technology in the same breath.2 does not provide support for SQL, if not supported industrial standards such as SQL, will produce a certain user's learning and use costs. 3 does not provide a relational database for the processing of things. Advantages of non-

high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHDB

extremely high concurrent read and write performance, Redis,tokyo Cabinet,flare is the representative of this class. Document-oriented database for massive data access: This type of database is characterized by the ability to quickly query data in massive amounts of data, typically for MongoDB and COUCHD

MONGDB Performance pressure test, random query, data volume 100 million records Operating system centos6.4x64 bit From the test results, when MongoDB all the data into memory, query speed according to the size of the document, performance bottlenecks are usually in the network traffic and CPU processing performance (

Traditional SQL pagingIn traditional SQL paging, almost no row_number exists in all solutions. For scenarios that require various sorting and complex queries, row_number is a killer. In addition, the time stamp is usually used for paging loading by poll/push on the current web. These two types of pages can be said to be generic, and even the pages generated by Linq are row_number. The latter is the best both in terms of performance and complexity, bec

Tags: NoSQL SQL database cas mongod data redis space Microsoft fieldsIn a relational database, the most important factors leading to poor performance are multi-table associative queries and complex SQL report queries with complex types of data analysis. to ensure the ACID properties of the

in the main document of the body. This makes data easier to manage and eliminates the "JOIN" operation that affects performance and horizontal scalability in traditional relational databases. CODE Execution> Db. blogposts. save ({title: "My First Post", author: {name: "Jane", id: 1 },Comments: [{by: "Abe", text: "First "},{By: "Ada", text: "Good post"}]}) > Db. blogposts. find ({"author. name": "Jane "}) >

Dotnet core uses MongoDB for high-performance Nosql database operations. mongodbnosql I haven't written a Blog for a long time. I watched the open-source Java Community drool every day, and I was so confused that I finally waited for the official release of dotnet core in March, Looking at the dotnet community, it is also a thriving phenomenon. I don't want to bi

indexes than map/reduce performance. However, as with COUCHDB, its data is more volatile and requires a high-capacity disk. MongoDB can be used in any mysql/postgresql environment.The development language used by D.cassandra is Java, followed by Apache, using the Custom,binary (Thrift) protocol. The Cassandra is suitable for applications where more than a query is written, such as banking and financial ind

Reprinted from: http://t.dbdao.com/archives/why-is-mongodb-wildly-popular.html "If you show me the code and don't let me understand the data structure, I'll be confused." If I knew the data structure, I would obviously no longer have to look at your code more often. "– Written by Eric Raymond in" the Cathedral and the Bazaar:musings on Linux and Open Source by an accidental revolutionary ", 1997 Language innovation The basic task of programming is to

Tags: acid-based features This feature enables relational databases to be used in almost all of the typical banking systems but in Web applications of non-relational databasesThe most important feature of a relational database is transactional consistency : traditional relational