VESoft raises $8M to meet China’s growing need for graph databases

Published June 15, 2020

Sherman Ye founded VESoft in 2018 when he saw a growing demand for graph databases in China. Its predecessors, like Neo4j and TigerGraph, had already been growing aggressively in the West for a few years, while China was just getting to know the technology that leverages graph structures to store data sets and depict their relationships, such as those used for social media analysis, e-commerce recommendations and financial risk management.

VESoft is ready for further growth after closing an $8 million funding round led by Redpoint China Ventures, an investment firm launched by Silicon Valley-based Redpoint Ventures in 2005. Existing investor Matrix Partners China also participated in the Series pre-A round. The new capital will allow the startup to develop products and expand to markets in North America, Europe and other parts of Asia.

The 30-people team is comprised of former employees from Alibaba, Facebook, Huawei and IBM. It’s based in Hangzhou, a scenic city known for its rich history and housing Alibaba and its financial affiliate Ant Financial, where Ye previously worked as a senior engineer after his four-year stint with Facebook in California. From 2017 to 2018, the entrepreneur noticed that Ant Financial’s customers were increasingly interested in adopting graph databases as an alternative to relational databases, a model that had been popular since the 80s and normally organizes data into tables.

“While relational databases are capable of achieving many functions carried out by graph databases… they deteriorate in performance as the quantity of data grows,” Ye told TechCrunch during an interview. “We didn’t use to have so much data.”

Information explosion is one reason why Chinese companies are turning to graph databases, which can handle millions of transactions to discover patterns within scattered data. The technology’s rise is also a response to new forms of online businesses that depend more on relationships.

“Take recommendations for example. The old model recommends content based purely on user profiles, but the problem of relying on personal browsing history is it fails to recommend new things. That was fine for a long time as the Chinese [internet] market was big enough to accommodate many players. But as the industry becomes saturated and crowded… companies need to ponder how to retain existing users, lengthen their time spent, and win users from rivals.”

The key lies in serving people content and products they find appealing. Graph databases come in handy, suggested Ye, when services try to predict users’ interest or behavior as the model uncovers what their friends or people within their social circles like. “That’s a lot more effective than feeding them what’s trending.”

Neo4j compares relational and graph databases (Link)

The company has made its software open source, which the founder believed can help cultivate a community of graph database users and educate the market in China. It will also allow VESoft to reach more engineers in the English-speaking world who are well-acquainted with the open-source culture.

“There is no such thing as being ‘international’ or ‘domestic’ for a technology-driven company. There are no boundaries between countries in the open-source world,” reckoned Ye.

When it comes to generating income, the startup plans to launch a paid version for enterprises, which will come with customized plug-ins and host services.

The Nebula Graph, the brand of VESoft’s database product, is now serving 20 enterprise clients from areas across social media, e-commerce and finance, including big names like food delivery giant Meituan, popular social commerce app Xiaohongshu and e-commerce leader JD.com. A number of overseas companies are also trialing Nebula.

The time is ripe for enterprise-facing startups with a technological moat in China as the market for consumers has been divided by incumbents like Tencent and Alibaba. This makes fundraising relatively easy for VESoft. The founder is confident that Chinese companies are rapidly catching up with their Western counterparts in the space, for the gargantuan amount of data and the myriad of ways data is used in the country “will propel the technology forward.”

As shared kitchens heat up, a China-based startup, Panda Selected, nabs $50 million led by Tiger Global

Published February 21, 2019

A few weeks ago, we told you that former Uber CEO Travis Kalanick looks to be partnering with the former COO of the bike-sharing startup Ofo, Yanqi Zhang, to bring his new L.A.-based company, CloudKitchens, to China. Kalanick didn’t respond to our request for more information, but according to the South China Morning Post (SCMP), his plan is to provide local food businesses with real estate, facilities management, technology and marketing services.

He might want to move quickly. Kitchens that invite restaurants to share their space to focus on take-out orders is a concept that’s picking up momentum fast in China. And one company looks to have just assumed pole position in that race: Panda Selected, a Beijing-based shared-kitchen company that just raised $50 million in Series C funding led by Tiger Global Management, with participation from earlier backers DCM and Glenridge Capital. The round brings its total funding to $80 million.

Little wonder there’s a contest afoot. China’s food-delivery market is already worth $37 billion dollars, according to the SCMP, which says 256 million people in China used online food ordering services in 2016, and the number is expected to grow to 346 million this year.

And that’s still a little less than a quarter of the country’s population of 1.4 billion people.

Panda Selected is wasting little time in trying to reach them. While SCMP says that online delivery services already blanket 1,300 cities. Panda Selected, founded just three years ago, says it already operates 120 locations that cover China’s biggest centers, including Shanghai, Beijing, Shenzhen and Hangzhou. It claims to work with more than 800 domestic catering brands, including Luckin Coffee, Kungfu and TubeStation. The company also says that its kitchens are typically 5,000-square-feet in size and can accommodate up to 20 restaurants in each space.

With its new funding, it expects to double that number over the next eight months, too, its founder, Haipeng Li, tells Bloomberg. That’s going to make it difficult to challenge, especially by any U.S.-based company, given overall relations between the two countries and the ever-changing regulatory environment in China.

Then again, this may be just the first inning. Stay tuned.