Snowflake was officially listed on September 16, 2020, with a market value of more than 70 billion US dollars. Founded in 2012, the company is committed to providing enterprises with a data cloud platform, helping customers break data silos, facilitating enterprises to use and share data, and obtain data value and business insights from it. The products and technical services provided by Snowflake are more called the data center in China. Of course, its unique technological advantage is one of the reasons for its capital dependence.
Cloud
Nativeness Snowflake puts forward the concept of data-warehouse-as-a-service (DaaS), which can be simply understood as a SaaS service that is native to the cloud and focuses on the data warehouse. Snowflake's cloud nativeness is not the same concept as many data warehouse providers supporting cloud services. Other cloud service giants, such as Oracle, Teradata, and Netezza, although more or less support the cloud, because of the limitations of their product architecture, they often prove that they cannot well solve the various data needs and problems faced by many modern enterprises. 
The unique underlying architecture
Snowflake proposes a unique architecture that separates storage, computing and management services. Snowflake puts forward the concept of Multi-cluster, shared data on the basis of Shared-nothing. The key to this architecture is to completely separate storage and computing, essentially solving the pain points of traditional architecture.
From the perspective of the storage layer, Snowflake automatically divides all tables into micro-partitions of close to a fixed size to support more advanced time travel and data sharing functions. Even if the database is cloned, there are logically two databases, but the underlying storage still has only one version. From the perspective of the computing layer, Snowflake uses the T-shirt size to define the computing power, which greatly simplifies the provisioning process compared to other cloud computing resources. Users can increase or decrease computing resources at any time to meet demand, and the data seen by these different computing resources are all from the same version. From the service layer, it is another I think Snowflake service layer is very independent. It consists of many global services, covering tasks such as operation management, optimization, tuning, security, availability, metadata, and caching. It solves the problem of ease of use of the data warehouse and greatly reduces the required management and operation and maintenance costs, which is unmatched by other competitors.
Technically adhere to the principles of neutrality and openness
In the United States, Amazon AWS, Microsoft Azure, and Google Cloud are cloud service giants. They have strong competitiveness, complete platform ecology, large-scale infrastructure, and rich customer resources. Snowflake connects these public cloud platforms to provide neutral, pay-as-you-go platforms. Services provide customers with greater flexibility in terms of data migration and sharing. Adhere to the principle of data sharing and openness, unite data providers, partners, and customers. The more customers that use the platform, the more data can be exchanged with other customers, partners, and data providers, and the platform's value to all users will be improved. .
In China, is there any company similar to Snowflake? In fact, similar products in China are more called data center, and 2019 is the first year of domestic data center. Recently, we have discovered that there is a domestic company that faces digital transformation. Since its establishment 7 years ago, it has been building data center products. This company is called Guoyun Data . Recently, Ma Xiaodong, the founder of National Cloud Data, accepted an interview from Yiou.com and other media and marked the Chinese version of Snowflake in its data. The data center provided by National Cloud Data is very similar to Snowflake in terms of technology.
The data center is derived from Ali’s top-level technical architecture, but it is not tied to any cloud platform, data tool or database, and is compatible with customers’ own business systems, without having to overthrow and rebuild, thereby saving corporate costs and improving Business operational efficiency. The data center supports the secondary development of applications based on the center stage, which realizes the linkage use of technology, business, management and other personnel while ensuring the safety of customers' use and data. In addition, National Cloud Data, like Snowflake, used cloud-native technology at the beginning of its data center planning, separation of storage and calculation, and separation of read and write technology. After 7 years of optimization and upgrade, it has achieved the ultimate.
As the digital transformation of enterprises intensifies, there are an endless stream of domestic data center products similar to Snowflake. The data center has become a hot track, and the future market capacity is in the hundreds of billions. We also look forward to China's Snowflake as soon as possible day.