Free Online Relational Database Google

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Discussion on NoSQL database

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 ...

Inventory: Free database software for open source community

Many business owners with only more than 10 to dozens of employees ask if they don't want to spend thousands or even million to buy a database software and ask if there are any free database software available. In fact, there are a lot of small business owners in this type of enterprise, their company needs a small database software to statistics the company's some product data and the information of the storage, the amount of data is really small. As I've seen before, some small businesses use office-brought access small databases, but still feel less convenient. Here, the editor recommends several open source databases for small business use ...

5 predictions for the future of the database

Michael Stonebraker is a preacher in the database field. He has a deep professional attainments and helped develop some of the most popular database systems, such as http://www.aliyun.com/zixun/aggregation/14171.html ">postgres,ingres and Vertica." His latest research is VOLTDB, a memory-based OLTP (online transaction processing) system, which he claims is two faster than the traditional solution ...

Layout Big data controversy over the world's Top 14 data makers

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Cassandra and HBase big Data versus who's the winner?

In the new field of Big data, BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data.   If you know this well, your family is familiar with the two Apache database projects of Cassandra and HBase. Google first bigtable in a 2006 study. Interestingly, the report did not use BigTable as a database technology, but ...

Cassandra and HBase Big Data showdown

Cassandra and HBase are the representatives of many open source projects based on bigtable technology that are implementing high scalability, flexibility, distributed, and wide-column data storage in different ways. In this new area of big data [note], the BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. If you know this very well, your family is familiar with the two of Cassandra and HBase.

Oracle's poor performance

Absrtact: Tencent Science and Technology (Tom) Beijing time March 22 news, according to foreign media reports, Oracle's stable profitability over the past decade has been one of the topics that Silicon Valley analysts relish. But in recent years, with the influx of big and small rivals, and Tencent Science and Technology (Tom) Beijing time March 22, according to foreign media reports, Oracle's stable profitability over the past decade has been one of the topics that Silicon Valley analysts relish. But in recent years, with the influx of big and small rivals and the increasing sensitivity of customers to software prices, Oracle ...

Oracle has released three disappointing performance figures in two years

Absrtact: Tencent Science and Technology (Tom) Beijing time March 22 news, according to foreign media reports, Oracle's stable profitability over the past decade has been one of the topics that Silicon Valley analysts relish. But in recent years, with the influx of big and small rivals, and Tencent Science and Technology (Tom) Beijing time March 22, according to foreign media reports, Oracle's stable profitability over the past decade has been one of the topics that Silicon Valley analysts relish. But in recent years, with the influx of big and small rivals and the increasing sensitivity of customers to software prices, Oracle ...

HBase usage Scenarios and success stories

Sometimes the best way to learn about a software product is to see how it is used. It can solve what problems and how these solutions apply to large application architectures that can tell you a lot. Because HBase has a lot of open product deployments, we can do just that.   This section describes in detail some of the scenarios in which people successfully use HBase. Note: Do not limit yourself to the belief that hbase can only solve these usage scenarios. It is a nascent technology, and innovation based on the use of the scene is driving the development of the system. If you have new ideas, think you can benefit from HBAs ...

Trends in large data-processing technology-introduction of five open source technologies

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

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