During this period, K only provided the beta version to

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Unified business data services. k integrates the native storage of semi-structured data into relational databases and fully optimizes query support for it. Analysts can query structured and semi-structured data in a single system without spanning multiple systems. ) Persuasive benchmark enterprise endorsement "" During the more than two years, k has accumulated a group of seed users. In this press release, there are customers such as, i, Vi, and others who endorse it. Interestingly, it was almost a year after the first press release. On 2017-03-08, K officially released its data warehouse product to the public.



(i.e. customers with the same target customer profile). This jamaica phone number was done in this way: On the one hand, it was to fully test and verify, leaving more time to verify the reliability and performance of the business scenario test product; On the other hand, it was to accumulate more early users, and to find the right customers to use and polish the product, which was one of the most important tasks at this stage; On the other hand, it was to create expectations and demand, and to create greater user demand and expectations through early publicity and attracting market attention, so as to obtain better market response when it was officially launched.



After the official launch, K achieved great results: In the first year of listing, it attracted more than corporate customers, including many well-known technology companies and financial institutions. In the fiscal year, the company achieved revenue of about US$100 million, a year-on-year growth of more than US$100 million. With its innovative cloud data warehouse solution, 100 has won wide attention and praise in the industry, and established a unique brand image and technical advantages at its first appearance. 4. Welcome the coming-of-age ceremony: the big marketing pillar has made the revenue exceed US$100 million. At the beginning of the year, 100 joined 100 as the chief marketing officer and led the company to start data-driven large-scale marketing growth.