Nosql Transaction Processing

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NoSQL of foundationdb-compliant transaction processing

The 2012 San Francisco Disrupt Congress brought the upstart-foundationdb of the NoSQL database, some of which feature as the basic attributes of the SQL database since the 1970s. They say this is a new type of database that extends infinitely more than most NoSQL databases on the market. Foundationdb not only inherited the advantages of NoSQL, but also integrated their so-called "yesacid" characteristics. FOUNDATIONDB executives believe their databases are scalable and fault-tolerant ...

The origin of Oracle NoSQL database

Previously NoSQL databases were indifferent to new and emerging projects around the world, and we often heard those with ambitious trumpeter patting their chests to ensure that their new nosql applications would break all the old frames and bring new things. In reality, however, it is overblown that NoSQL is still unable to get into Wall Street, even if the trendy developers are only willing to use it for trivial matters in their lives. Because of the limitations of the table structure is too large, if you can discard these, the speed of the database can be improved quality. At this moment, ...

A brief account of the trade-offs in SQL or NoSQL in cloud computing environments

With regard to NoSQL and SQL, it is well known that NoSQL only allows data to be accessed in restricted predefined modes. For example, DHT (Distributed Hash Table) is accessed through the Hashtable API. Other NoSQL data service access modes are also restricted. Scalability and performance structures are therefore predictable and reliable. In SQL, access patterns are not known beforehand, SQL is a common language that allows data to be accessed in a variety of ways, and programmers have limited control over the execution capabilities of SQL statements. In other words, in s ...

SQL or nosql--in the cloud computing environment who should be selected?

What is the real difference between NoSQL and SQL? Essentially, because different access patterns lead to differences in NoSQL and SQL scalability and performance. NoSQL only allows data to be accessed in restricted predefined modes. For example, DHT (Distributed Hash Table) is accessed through the Hashtable API. Other NoSQL data service access modes are also restricted. Scalability and performance structures are therefore predictable and reliable. In SQL, access patterns are not known beforehand, and SQL is a ...

One to two years ahead of MongoDB. Build Enterprise-Class NoSQL database

Over the past few years, NoSQL database with its easy to expand, high-performance, high availability, data model flexibility and other features attracted a large number of emerging internet companies, including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. Guangzhou giant FIR Database is a focus on the new NoSQL distributed database research and development of the start-up company, has now won the first round of angel investment, the core product is sequoiadb. The founding team members of the giant FIR database are from IBM North America Laboratories, and have long been engaged in the relational database D ...

The limitations of SQL transforming relational database to NoSQL

NoSQL systems generally advertise a feature that is good performance and then why? relational database has developed for so many years, various optimization work has been done very deep, nosql system is generally absorbing relational database technology, and then, in the end what is the constraints on the performance of relational database? We look at this problem from the perspective of http://www.aliyun.com/zixun/aggregation/9344.html "> System design." 1, index support. Relational data ...

12 free and open source NoSQL database Introduction

Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers.   Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...

Research on an incremental processing mechanism of parallel data based on NoSQL

Research on an incremental processing mechanism of parallel data based on NoSQL Huazhong University of Liu Cloud computing has brought new opportunities and challenges to the process of data processing. The traditional relational database is unable to meet the requirement of large data, and the distributed non relational database can satisfy the high concurrency and high demand of reading and writing because of its high reliability and high availability. However, the superior performance of distributed, relational databases is at the expense of SQL data-processing capabilities. Therefore, it is an important research to improve the data processing ability of the non relational database.

Big data improvements for MySQL: Support for NoSQL and Hadoop

When it comes to big data, it has to do with Alibaba. The world's leading E-commerce enterprise, the amount of data processed every day is unmatched by any other company, it is also transforming into a real data company--mysql is an important weapon in the transformation of Alibaba.   A database architect who interviewed Ali, who believes Ali has the best performance of open source MySQL, beyond any relational database and NoSQL. In the 2009, Oracle acquired the copyright of MySQL by acquiring Sun, and the industry began to question the use of Oracle ...

Sweep 2013 most commonly used NoSQL databases

Within a few years, the NoSQL database has focused attention on performance, scalability, flexible patterns, and analytical capabilities.   Although relational databases are still a good choice for some use cases, like structural data and applications that require acid transactions, NoSQL is more advantageous in the following use cases: The data stored is essentially semi-structured or loosely-structured.   Requires a certain level of performance and scalability.   The application to access the data is consistent with the final consistency. Non-relational databases typically support the following features: Flexible ...

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