most common nosql databases

Recently I am reading nosql. A major advantage of nosql over relational databases is high availability. Therefore, some questions are raised: Why does nosql achieve high availability while relational databases suffer from criticism in this regard? Relational Database

[TechTarget Chinese original] Q: I am studying various types of database architectures. Can you tell me the security of non-SQL databases (NoSQL) and mainstream commercial relational databases? For a database that stores information securely, it must provide confidentiality, integrity, and availability (CIA ). When necessary, data must be available (availability

premise, the overhead of data update is very small (the same field basically only has one) 3. complex queries such as Join operations can be performed (Join operations cannot be performed between different servers) 4. There are many practical achievements and professional technical information (mature technologies) 5. All data is expressed in the binary representation of rows and columns, which makes it easier to understand and understand. Lack of relational

storage (disk space) is negligible. While non-relational data is stored in a flat dataset, data can often be duplicated. A single database is rarely separated, but stored as a whole, so that it is easier to read and write for the whole piece of data. Vertical Expansion vs Horizontal expansion The biggest difference between SQL and NoSQL databases may be in scaling, and of course scaling up to support the g

flexibility, and are very suitable for big data storage and processing. Compared with traditional relational databases, these NoSQL databases have great performance advantages. However, these NoSQL databases may not be the most suitable for you. Most

models. For the following information, see the Emil Eifrem blog and NoSQL database description. Document Database Inheritance: inspired by Lotus Notes. Data Model: document summary, including key-value summary. Instance: CouchDB, MongoDB Advantages: Data Modeling is natural, programmers are easy to use, the development process is short, the webpage mode is compatible, and CRUD (short for adding, querying, updating, and deleting) is easy to achieve ).

problem is common in scenarios such as Data Consistency Maintenance and cluster status synchronization (such as cluster member information dissemination. Although the introduction of a database monitoring and synchronization plan coordinator can solve this problem, decentralized databases can provide better fault tolerance. The main approach to decentralization is to use a well-designed infectious Protocol

. SQL. SQL is very effective for processing structured data, but it is insufficient for unstructured data. A large number of constraints. Relational databases have strict constraints and data integrity requirements. However, NoSQL advocates believe that database users generally do not need such strict constraints, and do not like the cost caused by these constraints and the increased complexity of the syste

same time, the application logic is determined by the input data or the mode of interaction with users in most cases. Therefore, we must analyze user behavior, user operations determine how the database is used. On the other hand, we need to understand the impact of these behaviors on the database. The focus here is to learn that when the performance of data reaches the highest standard, it still becomes the main bottleneck of applications-whether they are incorrectly used or use an incorrect a

adapt to the document database than other models, except for graph database [NOTE 1]. Obviously, graph database implements most of the common performance of a graph. In addition to the SQL field, I always recommend that you and your team do not underestimate the fact that you and your team are losing most of the tested tools and expertise that you are unconsciously using every day. I have seen a lot of people extract very basic information from the