Examples: Cassandra, HBase, Riak common applications: traditional file systems Strengths: search an

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Magazine Network - In recent years, the world of NoSQL databases with attractive and exciting new projects and disputes with claims of ambitious filled. Proponents of this technology hfs claim that the new NoSQL software packages, eliminating the three data structures and control problems in traditional databases, striking at speeds Pydakrdhand ...
In recent years, the world of NoSQL databases fascinating and exciting new projects with various disputes, claims, ambitious and filled. Proponents of this technology claim that the new NoSQL software packages, eliminating hfs the three data structures and control problems in traditional databases, striking at speeds Pydakrdhand. Against the claims of the inherent problems of such databases in the field of reliability, believe hfs that this discussion is very overrated and is not the reality. There are many developers hfs that aim to develop programs that large commercial and industrial applications (such as banking applications), including information and data have forgotten their purpose is in life. They would answer the why not use tabular data similar to the traditional tabular very pedantic and restrictive. They say: "If you consider all these radical changes of structure, you can open databases and gain strength faster!"
Thus ending the thoughts and activities of many companies and developers introduce strategies that proper action can be used as either current or soon will be witness to introduce hfs a successful example of using them in. The interesting thing about the genesis of these databases, there is a great need of them and is now in firms with large volumes of users and data associated with them are concerned. In this paper we discuss various NoSQL solutions, and provide a description of any we have known and important. Obviously, there are other solutions also because hfs of less importance, and only offered to them regardless of their names have sufficed.
Examples: Cassandra, HBase, Riak common applications: traditional file systems Strengths: search and quick retrieval, storage, distributed data useful technique weaknesses: API is very low level
Note: the birth and growth of these databases, the need of large social networks faster and cheaper to manage a database of millions of updated data from different subjects. The social networking giant, first began work on the Cassandra database and then gave it to the Apache Foundation to support the development hfs and related open-source hfs community. This database, which is regarded as the flagship product in the category of distributed databases, is well suited to handle the huge volume of data that is being built on a complex network of interconnected servers and data contained exactly hfs where every car is the same. In this database, each machine must be the same as others, all have their own built-in P2P networks, can provide stable performance. hfs
However, the stability of this configuration, not a hundred percent certain stability condition is conditional probability. For this reason, in some cases, the user data on the social hfs network temporarily disappears and returns again. The database is implemented in Java as a separate process hfs (waiting for communication) works. To work with Cassandra, hfs good libraries, languages, Java, Python, Ruby and PHP are also being developed and provided.
In the first step, it seems very easy to work with Cassandra, but due to different modeling environment, the traditional relational data model, the developer of the first steps will be faced with a quandary. Also, saving the data in the database, the first steps in low volumes may be much slower than what the user sees in it only a simple routines to store