Mongodb Alternative

While technology like http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb,mapreduce" is seen as a hallmark of innovation, companies rely on sophisticated technologies such as SQL. 　　Mining important business models from these data becomes very difficult when the enterprise needs to collect more data formats, especially when new formats are not supported by SQL. When faced with such a problem, the market ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

Earlier this year, VMware announced the Cloudfoundry project, a platform, a service (PAAS) Open source solution, which provides support for MongoDB, MySQL, and redis such services. It recently added PostgreSQL and RABBITMQ to the cloud services list for use in all applications, as well as a micro version of Cloudfoundry that can run on a single workstation. It's interesting to incorporate PostgreSQL into Cloudfoundry.

The "SaaS Pioneer" series continues to present you as a pioneer in the domestic SaaS sector, and today's protagonist, Processon,processon, is a vertical mapping tool and community where users can not only feel a very powerful and useful professional mapping tool, can also easily find their own knowledge resources, inadvertently, may also find a lot of vertical areas of "Daniel" in the sharing of their work. In fact, ProcessOn is to do a cutting-edge, efficient mapping tool, of course, can also be simply understood as "cloud computing era, Microsoft V ...

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 ...

The "SaaS Pioneer" series continues to present you as a pioneer in the domestic SaaS sector, and today's protagonist, Processon,processon, is a vertical mapping tool and community where users can not only feel a very powerful and useful professional mapping tool, can also easily find their own knowledge resources, inadvertently, may also find a lot of vertical areas of "Daniel" in the sharing of their work. In fact, ProcessOn is to do a cutting-edge, efficient mapping tool, of course, can also be simply understood as "cloud computing era, Microsoft V ...

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 ...

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...