6 Large data Analysis service companies that count cloud computing

Cloud computing and data analysis are a perfect match. Cloud Model Http://www.aliyun.com/zixun/aggregation/18736.html "> allows users to use the service provider's infrastructure over the network, while processing large amounts of data in the cloud, Strong data analysis software is also needed to make it fully functional. Thankfully, huge numbers of data and clouds have converged, and the following companies have formed their own cloud-based data Analysis Services.

1, Quantivo:

Quantivo just announced in Tuesday the launch of a cloud computing based analysis platform. The platform combines business data from a variety of sources and enriches and slipstreams it, then allows customers to work with professional interfaces through Quantivo. Quantivo has a set of intelligent systems that help users ask the right questions to get the best answer.

2, 1010data:

1010data actually did a large data service for more than 10 years before the concept of cloud arose, providing large data services to industries such as warehousing and business intelligence advanced analysis. 1010data provides customers with familiar tools such as tables to make it easier to use.

3, Opera Solution:

Opera FX is a low-key company with a turnover of more than 100 million dollars a year, but few people will ever hear of the company. But its services are compelling: customers upload their data to the opera platform, and opera analyzes it based on the relevant "signals" in the user's data pool. Opera focuses on the individual needs of each customer and hires industry experts to help each customer with data analysis.

4, IBM:

IBM has plenty of options for large data analysis, but its current strategy seems to emphasize the Hadoop framework, a framework for running applications on a large cluster of common hardware. IBM launched the SmartCloud cloud computing platform this April and is committed to using the Hadoop framework. IBM based on Hadoop framework analysis software can analyze and visualize a large number of unordered data.

5. Amazon Web Services:

AWS does not provide a practical analysis service, but only provides computational processing power in the context of the necessary scale of the parallel processing framework. Its resilient platform allows users to import their own Hadoop applications and upload data for processing.

6, HPCC Bae:

The HPCC system is an alternative to LexisNexis derivatives and users outside of Hadoop. In an interview on Businessesflat-out 2011, HPCC CTO Armando Escalante said the company already has the ability to provide services to the industry of large data sets, such as finance, law and intelligence, on its own cloud platform by running users ' own applications.

(Responsible editor: The good of the Legacy)