Since the country promulgated the big data outline, the topic of data transactions has been hot all the way to now, and the debate about data circulation has never stopped. There are not many controversial topics, and the problems that should be solved by the market are left to deal with. The editor is here to try to take you from an objective perspective to browse the status of major data trading platforms.
1. Background
The big data trading market is exactly the same as the US oil market during Rockefeller's era, with governments, corporate giants, and grassroots figures all participating. But overall, the concentration is not high, and the scale of the transaction is not large. It still belongs to the virgin land, waiting for the emergence of the hero who dominates the world.
Second, enter the topic
Each platform chose different tracks according to its own characteristics:
1. Government Group
Seeing the government's attention to big data from top to bottom, practitioners should be very lucky, so this group is especially placed first.
Here are just a few representative ones:
Guizhou Big Data Exchange
Guizhou first advocates big data and maintains a trend of ups and downs
1) Pricing: Coexistence of agreement pricing, auction pricing, and collective pricing
2) Service fee: 40% of transaction revenue, the seller shall bear all
3) Transaction amount: "Cumulative breakthrough of 100 million yuan" (from the official website)
4) Restrictions: A membership system is adopted, "wide access and strict control", but individuals are not allowed to purchase data
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Comment: Since it is difficult for the editor to become a member, I can't observe the transaction, but as a pioneer, your stock exchange has participated in many "firsts" and should win applause
Official Website >>>
Zhongguancun Shuhai Big Data Trading Platform
More representative, it is a beneficial attempt being explored
1) Mode: API (application program interface) transactions
2) Positioning: "The platform itself does not store data or intercept any data, only as a transaction pipeline"
3) Background: The establishment of the Zhongguancun Big Data Trading Industry Alliance
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Comment: Not yet approved after registration, the website should be in the construction stage
Official Website >>>
Shanghai Municipal Government Data Service Network
The homepage is free from the seriousness of the government website, and you can see the welcome changes of government departments
1) Data volume: 770 data packages (mainly free download in xls format), 73 data interfaces
2) Data sources: various government departments in Shanghai, the Judicial Bureau, the Civil Affairs Bureau, etc.
3) Features: "Geographic Information" column provides visual display of data
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Comment: Most of the data in the directory category, most of the data has a narrow application range, but it can be said to be a good start.
Official Website >>>
Changjiang Big Data Trading Center
1) Data volume: 350 data products (data package + API)
2) Features: There are big data technology and product demonstrations; data release requirements and technical solution requirements
3) Data coverage: there are many categories, but there is no data under some classifications
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Comment: The framework is okay, but the overall feeling is that there is not much quality data
Official Website >>>
The other trading centers that have been launched are listed here, but the basic types are inseparable from the above four types:
Beijing Municipal Government Data Resource Network, Zhejiang Public Data Open Directory, Wuhan Municipal Government Open Data Service Network, Wuhan East Lake Big Data Trading Center, Jiangsu Big Data Trading Center, Central China Digital Exchange, Harbin Data Trading Center, Qiantang Data Big Data Trading Center, Hainan Data Trading Center.
2.API group
It is a group of private enterprises that have made data transactions hot. They have figured out a new model-trading data with API interfaces and charging according to the amount of calls. The feasibility of which has been proven by RMB votes
Aggregate data
Billion-level revenue, billion-level financing (public information), others needless to say, it should not be too much to be called an example of the data circulation industry
1) Positioning: Mainly based on data commonly used by developers, such as air quality, vehicle violations, NBA games, etc.
2) Mode: API interface
3) Data volume: the total interface is maintained at around 100
4) Features: The price of a single call is very low, but the total call volume is large
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Comment: Aggregation is based on operating its own data, not a typical platform, but its own development has driven the entire industry
Official Website >>>
Other API interface platforms
The following are basically consistent with the positioning, characteristics and data volume of the aggregated data, each with its own characteristics, and no ranking
1) Avatar data
Official Website >>>
2) ShowAPI
Official Website >>>
3)HaoService
Official Website >>>
4) Extreme speed data
Official Website >>>
API Store
Baidu's strong background
1) Positioning: service developers, covering development, operation, promotion and other stages
2) Mode: API interface mainly
3) Data volume: the total number of interfaces is 1100 (data + service)
4) Features: bringing together many well-known service providers
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Comment: "Provide the most comprehensive API service for developers", not as a pure data trading market
Official Website >>>
JD Vientiane
Overall it is similar to APIstore, but the proportion of data interface is large
1) Data volume: interface is about 400
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Official Website >>>
3. Taobao group
Whether the data transaction can follow the Taobao model has always been the focus of debate. Recently, some companies have begun to take the road to accept market tests
Counting grain
Open-minded attitude, attracting various traders
1) Positioning: data transaction + big data technology product transaction
2) Mode: "Accept various transaction modes"
3) Data volume: 5,000 (data + technology products)
4) Features: The data source is wider and the quality is higher, but most of the current transactions need to be completed outside the platform
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Comment: An idea worth trying, you can see the ambition, but the number of grains just started, there are various problems just started
Official Website >>>
Data treasure
Guizhou + government background + Taobao mode = sufficient exposure
1) Mode: API transaction
2) Data volume: 340 interfaces
3) Features: The background and resources are sufficient, which has attracted the attention of senior government officials and is currently active in the industry
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Comment: "The first big data asset operation and management platform jointly built by the provinces" can be expected
Official Website >>>
4. Technical Group
This type of company starts with grabbing technology, and its business extends to data transactions, which is a clear product line expansion;
The original user base of the enterprise has developed into a seller of transactions, which has natural advantages.
Many
The background is the well-known octopus collector in the industry
1) Mode: data package download, customization
2) Data volume: 10,000
3) Features: various types of long-tail data, large data volume, fast update, but uneven quality
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Comment: Relying on octopus has effectively driven the growth of data, and the effect of the long-tail route remains to be tested
Official Website >>>
Big ocean
Train collector on the old background
1) Mode: data package download, customization
2) Data volume: 600
3) Features: Similar to Suduo Duo background, but consciously control the quality and quantity of data, take the high-quality route
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Comment: You can make a comparative observation with Suduo, the route is completely different
Official Website >>>
Birthplace
Main SaaS cloud acquisition engine
1) Mode: data package download, customization
2) Data volume: 9,000
3) Features: Data demanders can purchase, customize or collect data on the platform
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Comment: The idea is to centralize data collection, cleaning, and circulation on a single platform to make money through value-added services, but face many of the same problems-most of them are long tail data
Official Website >>>
5. Comprehensive Group
The finale of this group, although introduced at the end, has obvious characteristics and is also worthy of attention
Data Hall
A three-board listed company with few data circles and high visibility
1) Positioning: data service provider
2) Mode: API, data package download, customization / crowdsourcing
3) Data volume: 180 (API + data package)
4) Features: Mainly selling its own data, taking the high-quality route, scientific research data is more distinctive
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Comment: The company debuted earlier, with data processing technical strength, more comprehensive, but not a typical data trading platform
Official Website >>>
Youyi Data
Ming star lineup: Zhou Tao (Chief Scientist), Che Pinjue (President of the Academy)
1) Mode: data package download, API, customization
2) Data volume: 1,300 (mainly data packets)
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Comment: "The company was initiated by the National Information Center" (Baidu Encyclopedia), with ideal resources and lineup
Official Website >>>
Tonglian Data Mall
More comprehensive financial data pool
1) Mode: API
2) Data volume: 1,300
3) Features: It collects data from more than ten brands including Tonglian, Hang Seng Juyuan, and Huatong, covering all areas of finance
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Comment: The Chinese version of quandl.com is part of the overall layout of Tonglian in the financial field.
Official Website >>>
3. Postscript
The non-circulation of data has hindered the development of the big data market, and the immaturity of big data technology has also led to the lack of data demand. Every emerging industry will face such problems, and here is naturally no exception. But we see that a group of companies are acting, it is they who continue to promote the development of things. Good luck to them.
(Note: As the transaction volume cannot be verified, no guesses are made in this article)
For a better experience, please read the full text, you can open the official website of interest to see.
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