Difference Between Mongodb And Sql

MongoDB company formerly known as 10gen, founded in 2007, in 2013 received a sum of 231 million U.S. dollars in financing, the company's market value has been increased to 1 billion U.S. dollar level, this height is well-known open source company Red Hat (founded in 1993) 20 's struggle results. High-performance, easy to expand has been the foothold of the MongoDB, while the specification of documents and interfaces to make it more popular with users, this point from the analysis of the results of Db-engines's score is not difficult to see-just 1 years, MongoDB finished the 7th ...

The traditional relational database has good performance and stability, at the same time, the historical test, many excellent database precipitation, such as MySQL. However, with the explosive growth of data volume and the increasing number of data types, many traditional relational database extensions have erupted. NoSQL database has emerged. However, different from the previous use of many NoSQL have their own limitations, which also led to the difficult entry. Here we share with you Shanghai Yan Technology and Technology Director Yan Lan Bowen - how to build efficient MongoDB cluster ...

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 operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...

It was easy to choose a database two or three years ago. Well-funded companies will choose Oracle databases, and companies that use Microsoft products are usually SQL Server, while budget-less companies will choose MySQL. Now, however, the situation is much different. In the last two or three years, many companies have launched their own Open-source projects to store information. In many cases, these projects discard traditional relational database guidelines. Many people refer to these items as NoSQL, the abbreviation for "not only SQL." Although some NoSQL number ...

As a software developer or DBA, one of the essential tasks is to deal with databases, such as MS SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, and so on. As we all know, MySQL is currently the most widely used and the best free open source database, in addition, there are some you do not know or useless but excellent open source database, such as PostgreSQL, MongoDB, HBase, Cassandra, Couchba ...

The REST service can help developers to provide services to end users with a simple and unified interface. However, in the application scenario of data analysis, some mature data analysis tools (such as Tableau, Excel, etc.) require the user to provide an ODBC data source, in which case the REST service does not meet the user's need for data usage. This article provides a detailed overview of how to develop a custom ODBC driver based on the existing rest service from an implementation perspective. The article focuses on the introduction of ODBC ...

Comparison of 8 kinds of NoSQL database system: Kristóf Kovács Editor: Agile translation: Tang Yuhua share: More: Kristóf Kovács is a software architect and consultant who recently published an article comparing various types of NoSQL databases. The article is compiled by Agile translation-Tang Yuhua. If you want to reprint, please refer to the text after the declaration. Although SQL database is very useful ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise Data Warehouse ...

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...