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The contention of time series data processing: MongoDB vs. Cassandra

Http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb and Cassandra are the two most popular NoSQL databases, MongoDB is the NoSQL field is worthy of the popularity of the king, while the Cassandra is the perennial occupation of the column storage field chief, compared with the hbase of concern for many reasons have been second. Recently Mydrive soulutions operation and Frame ...

Current NoSQL type, applicable scene and use company

In the past few years, relational databases have been the only choice for data persistence, and data workers are considering only filtering in these traditional databases, such as SQL Server, Oracle, or MySQL. Even make some default choices, such as using. NET will typically choose SQL Server, and Java may be biased toward Oracle,ruby, Mysql,python is PostgreSQL or MySQL, and so on. The reason is simple: In the past a long time, the relational database is robust ...

C # and Java still dominate in the NoSQL database environment

With the development of data services and NoSQL databases, Web applications increasingly need NoSQL databases, and now it seems that NoSQL databases have a tendency to break traditional relational databases. In December last year, couchbase a http://www.aliyun.com/zixun/aggregation/32268.html "> survey showed that many companies are ready to adopt NoSQL technology over the next year." But why did they deploy NoSQL? Why they give up ...

Data analysis platform architecture under large data

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

8 Kinds of NoSQL database system comparison (turn)

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 ...

Citus data is moving citusdb towards Hadoop.

In recent days, database start-ups citus data to implement fast SQL queries on Hadoop, which is not a big deal, because for them, the bigger goal is in the back. Citus data has gone beyond postgres to extend its high-speed, analytical database Citusdb to Hadoop, and then it should be expanding to MongoDB and other database products you already think of. Gigaom's correspondent Derrick Harris thinks Citus data is ...

Database veteran: The Big Data age NoSQL is not disruptive technology

A few years ago, when people talked about the emerging NoSQL database technology, a considerable part of the view was that it was only a matter of time before NoSQL replaced traditional relational databases in large data markets.   Now, this prophecy has not materialized, Mitchell Kertzman's general manager Hummer Winblad that in most cases, NoSQL did not show the so-called revolutionary. As a veteran of the database, here's an excerpt from some points of view of Kertzman's video interview this week: What people need is actually SQL ...

Prismatic: It takes only 10 seconds to learn to analyze users ' interests by machine

There are a few things to explain about prismatic first. Their entrepreneurial team is small, consisting of just 4 computer scientists, three of them young Stanford and Dr. Berkeley. They are using wisdom to solve the problem of information overload, but these PhDs also act as programmers: developing Web sites, iOS programs, large data, and background programs for machine learning needs. The bright spot of the prismatic system architecture is to solve the problem of social media streaming in real time with machine learning. Because of the trade secret reason, he did not disclose their machine ...

Stonebraker about the database five key

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

Inventory 2014:10 coolest Big Data startups

In recent years, few it segments have been able to attract the attention of entrepreneurs like big data markets. Today, businesses and consumers are producing TB and even petabytes of data, and a large number of companies are also ramping up research and development to collect, store, manage, and analyze data. The following is the 2014 Big data field of the 10 emerging big data start-up companies 1. Aerospike founder and Cto:brian Bulkowski, including MongoDB, COUCHBD and Redis, are vying for the next generation ...

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