Which big data analysis platform is better?

The following are some representative data analysis platforms:

1, Cloud Age

Cloudera provides an extensible, flexible and integrated platform, which can be used to conveniently manage the rapidly growing and diversified data in your enterprise, so as to deploy and manage Hadoop and related projects, operate and analyze your data, and protect the security of your data. Cloudera Manager is a complex application for deploying, managing, monitoring CDH deployment and diagnosing problems. Cloudera Manager provides a management console, which is a web-based user interface, making your enterprise data management simple and direct. It also includes the Cloudera Manager API, which can be used to obtain cluster health information and indicators and configure Cloudera Manager.

2. Lateral warping of the ring

The big data platform company based on hadoop ecosystem, the only big data platform company in China selected in Gartner Magic Quadrant, has optimized the unstable part of hadoop and refined its functions, providing enterprises with hadoop big data engine and database tools.

3. Ali plus

The one-stop big data platform released by Alibaba Cloud covers enterprise warehouse inventory, business intelligence, machine learning, data visualization and other fields. It can provide data collection, deep data fusion, calculation and mining services, and personalize the analysis and display of the calculated data through visual tools. Graphic display and customer perception are good, but they need to be tied with Alibaba Cloud, and some experience functions are relatively general, which requires a certain knowledge base. Maxcompute (formerly known as ODPS) is a digital bottoming computing engine. There are two dimensions to look at the performance of this computing engine. One is to process 100PB of data in 6 hours, which is equivalent to 1 100 million HD movies. The other is that the scale of a single cluster is above 10000, which supports multi-cluster joint computing.

4. Huawei FusionInsight

Apache-based unified platform for enterprise-level big data storage, query and analysis. A completely open big data platform can run on an open x86 architecture server. With massive data processing engine and real-time data processing engine as the core, it has created agile, intelligent and credible platform software for the operation and maintenance and application development of data-intensive industries such as finance and operators.

5. Netease Mammoth

Netease Mammoth Big Data Platform is a one-stop platform for big data application development and data management, including big data development suite and hadoop distribution. The big data development suite mainly includes data development, task operation and maintenance, self-help analysis, data management, project management and multi-tenant management. The big data development suite effectively connects data development, data analysis, data ETL and other data science work through workflow, which improves the work efficiency of data development engineers and data analysis engineers. Hadoop distribution covers all the underlying platform components of Netease Big Data, including self-developed components and components based on open source transformation. Rich and comprehensive components, providing perfect platform capabilities, can easily build solutions in different fields to meet different types of business needs.

6. Understand the big data analysis platform

Knowing that the positioning of the platform is different from the popular platform positioning now. Mainly for SMEs, providing big data solutions for SMEs. At present, the main products of the platform include public opinion system, article dissemination analysis and website ranking monitoring, and the price of each service is around once in 50 yuan, which is very cost-effective.