Cons Of Nosql

"IT168" I have always felt that nosql in fact very easy to understand, I have also had a very in-depth study of NoSQL, but in the recent preparation of yuntable chart, found that NoSQL not only very profound, 　　And my personal understanding of NoSQL is only superficial, but I am still a "shame and then Yong" people, so after a period of study, from the sixth part of this series, will talk to you nosql, and this article will be the main to do a NoSQL database review. ...

(Author Srini penchikala translator Dingxuefeng) for non-relational data types such as documents, object graphs, and key-value pairs, the NoSQL database provides them with an alternative way to store data. Can distributed caching be used as a NoSQL database? Ehcache's Greg Luck author describes the similarity between distributed caching and NoSQL databases. Infoq interviewed him and discussed the pros and cons of the scheme. InfoQ: Can you do a distributed caching solution with the NoSQL database ...

Open source data is divided into two factions, NoSQL enthusiasts like to publish a lengthy criticism of relational database limitations, MySQL enthusiasts stubbornly defend the health relational database-insist that the data neatly stored in the table. 　　You'd think the two sides would never get along, but in fact, tens of thousands of companies have been trying to combine relational and relational databases, and have tried it many years ago. But the development of new technologies is often antithetical to the technology of the past. When NoSQL developed, the name of the light sounded like ...

In the current enterprise IT architecture, system administrators and DBAs will consider using the NoSQL database to solve problems that the RDBMS cannot solve, especially the internet industry. Traditional relational databases store data mainly as tables (table), and cannot meet the challenge of unstructured data. In the process of data standardization, the performance of relational database is encountering bottleneck. NoSQL, as its name suggests, is Not-only SQL, which can be a good complement to relational databases. In the report before the TechTarget database, ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

Would you like to run the database server on the IaaS cloud? Or should it be converted to a PAAs selection? The choice of a database as a service may sound tempting, such as Cloudant's nosql but how to weigh it? Developers and application designers have a lot of options for deploying databases in the cloud, and it's hard to make the best decisions. Regardless of which cloud database you choose, you need to measure a variety of factors, including cost, availability, scalability, and performance support. The current code may be difficult to select from the platform, the Service (PaaS) database, or even the relational database ...

Recently read some articles about the development of database technology, basically revolve around the discussion of SQL and NoSQL to unfold. Remember when the NoSQL movement just started, "Dour No to SQL" slogan, of course, the slogan did not become a reality, people eventually accepted the not-only of SQL. But really to give NoSQL the next definition, it is not easy, people used to MongoDB, Redis such products as a general definition of NoSQL, can be attributed to the "four major categories." But ...

Apache Cassandra is a highly performance, scalable, distributed NoSQL database with a flexible, simple partitioned row storage data model that can be used to deal with commercial servers and massive data storage across data centers without a single point of failure. It was originally developed by Avinash Lakshman (Amazon Dynamo developer) and Prashant Malik on Facebook to address their inbox-search problems, then officially open source in July 2008, and since then ...

A few years ago, people who had experienced the NoSQL database Revolution might recall that the Web 2.0 effect had sparked a large number of internet companies competing online nosql, and even some companies had completely abandoned traditional relational databases and migrated all the data to NoSQL. NoSQL has captured the heart of Internet enterprises with its easily scalable, high-performance, flexible data models and high availability features. 　　Including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. A few years later, the big data boom began to affect the tradition ...

Cloud computing is now the darling of the IT world, but security concerns remain the reason why companies have been slow to adopt. 　　These top security tips can help the IT team warm up quickly and become familiar with the technology. No one denies the benefits of cloud computing, flexibility, scalability and pay-for-use, but many are still debating whether it can provide a sufficiently secure environment for sensitive data. Cloud data security is a hot topic in the IT world; some people believe that the cloud is safer than the local environment, but the other side holds the opposite view. Given the complexity of the cloud, this security debate is not ...