Open source is not only a symbol of technological innovation but also a key driver for global business expansion. This talk walks you through the complete journey of how an open source project grows from its birth to crossing borders and entering global markets. As the founder who started from the open source community and successfully built it into a global business, WhaleOps CEO Guo Wei shared at the recently concluded GOSIM Open Source Globalization Workshop in Hangzhou how WhaleOps leveraged open source innovation to break regional barriers, win the support of global enterprises and investors, build a sustainable open source business model, tackle challenges in different markets, and achieve global commercialization. Through real cases, Guo analyzed how to turn technical passion and community support into long-term business success. At the roundtable, participants also exchanged views with many experts in the field of open source globalization about the opportunities and challenges. If you are facing the challenge of expanding “from local to global,” or want to learn how open source startups can scale worldwide, this article will provide you with practical insights and strategies. Global Market or Chinese Market: Choose the Battlefield Before the Tactics In the context of open source, “going global” is not a romantic story, but a life-or-death decision. Once software is open-sourced, the code itself has no defenses. Whoever can turn the same code into the most commercially attractive form for local customers takes the cake. Thus, the first question to answer is not “how to build the product,” but “which ocean do I feed first?” Market Choice from Open Source to Business — The Business Value Triangle In choosing a market for open source commercialization, we drew a “business value triangle” to filter the noise: Market Size — is it big enough to sustain five years of growth goals?Customer Budget — are they willing to pay continuously for standardized open source value-added features, instead of a one-off buyout?Brand Compounding — are there local opinion leaders and flagship customers who can turn each delivery into the next presales asset? Market Size — is it big enough to sustain five years of growth goals? Market Size Customer Budget — are they willing to pay continuously for standardized open source value-added features, instead of a one-off buyout? Customer Budget Brand Compounding — are there local opinion leaders and flagship customers who can turn each delivery into the next presales asset? Brand Compounding Only countries that meet all three edges are worth betting the founding team’s flights, compliance budget, and first-wave channel discounts on. Otherwise, no matter how big the deal or how enthusiastic the invitation, it’s just a tactical temptation, not a strategic position. No Globalization, Only Localization The lure of the Chinese market is obvious: one language, short decision chains, fast payments. But the drawbacks are also clear — heavy customization demands, brutal price wars, and low brand ceiling. The Western markets are the opposite: higher deal sizes, strong acceptance of standardization, and high renewal inertia. But they demand four tickets at once — compliance, channels, ecosystem, and community. Miss one, and you don’t get in. Japan, Europe, and Southeast Asia look like scenic crossroads in between, but each step costs new tuition. Thus, WhaleOps drew two arcs on the map: Path A “China → Southeast Asia → Japan → Europe → U.S.”, and Path B “U.S. → Europe → Japan → Southeast Asia → China.” The arcs look symmetrical, but behind them lies only one iron rule — “There is no globalization, only localization.” Path A “China → Southeast Asia → Japan → Europe → U.S.” Path B “U.S. → Europe → Japan → Southeast Asia → China.” “There is no globalization, only localization.” Each country requires re-finding PMF, rebuilding channels, re-doing compliance, and re-assembling teams. For ToC, a quick win in 0–2 years is possible; for ToB, it takes 2–4 years of deep cultivation to realize compoundinTime and brand equity are the only two costs that cannot be reduced.sts. Choose the wrong entry point, and every later step doubles the price. WhaleOps’ Lesson: Only Serve Customers Who Understand You & Can Pay The most important first decision: the market must be large, opportunities plentiful, growth space wide, and time & brand accumulation effective. Based on this, we chose Path B for a simple reason: “Only serve customers who understand you and can pay.” “Only serve customers who understand you and can pay.” Understanding you means co-creation willingness; money means they can afford the co-creation tuition. Both are indispensable. WhaleOps first spotted the global demand of “300 data silos, 6 man-month rollback across clouds” and brought out Apache DolphinScheduler and SeaTunnel as two sharp open source blades. After surpassing 10k Stars, we quickly packaged the scheduling engine, 290+ connectors, and visual IDE into WhaleStudio, targeting customers who “understand & can pay.” Within just a few years, North American cloud markets, European system integrators, and APAC financial leaders all signed on, elevating WhaleStudio from an open source “freebie” to the global commercial choice for data development and integration. How to Build a Global Commercial Product through Open Source The Product Strategy Triangle Almost all products can be analyzed with a strategy triangle: the apex “customer needs” determines survival — filter out those willing to pay, authorized to sign, and facing lethal pain points. The right edge “product” breaks down pains into reusable standardized modules, guided by vision and values, aiming not for feature lists but win rates. The left edge “technical strategy” tailors solutions within the limits of current funding, supply chain, and talent, drawing a red line that cannot be crossed. Tighten all three sides, and you find the smallest replicable, priceable, scalable perfect loop before resources run out. Differences in Open Source Commercialization Overseas vs. China Treat the community as a rocket, not an engine. Treat the community as a rocket, not an engine. Open source projects are often mistaken as “traffic fountains” — as if rising Stars automatically mean customers lining up with POs. The reality is: overseas open source commercialization starts with channels > traffic > community; in the mid-term, it shifts to traffic > channels > community; and in the long-term, community > traffic > channels. Buying “open source” keywords is less effective than buying “commercial” ones. The community builds traffic, but no one will back you, do compliance for you, or submit bids for you. A lively GitHub repo won’t turn into a PO. channels > traffic > community traffic > channels > community community > traffic > channels In China, the commercialization logic is entirely different. A “six-step hidden line” must be completed to stitch a full business path: bind with OS/cloud marketplaces to get entry tickets, then trade “domestic replacement” stories for traffic; lead government/finance customers into WeChat groups/forums as “community” to sediment a lead pool; filter business opportunities with POC lists; push “paid trials” to lower decision thresholds; finally, let channels lead tenders for quick deals. “six-step hidden line” Here, Stars are just a facade — channel endorsement + compliance credentials + lightweight payments are the real keys to closing. This requires first finding local channel partners willing to share risk, locking in the first batch of real-money contracts, and then using those contracts to feed the community. Only when contributors see “contribution = business opportunity” will the community transform from rocket shell into a reusable booster. Differentiated Product Positioning: Be Yourself! Facing two completely different logics of open source commercialization domestically and overseas, WhaleOps has formed its own approach through exploration. The data orchestration & integration track has long been a red ocean. Yet WhaleOps used two Apache top projects, DolphinScheduler and SeaTunnel, to cut into the gap of “cross-system orchestration + 290+ real-time data source integrations.” We pressed the two originally separate pipelines of “Orchestration” and “Data Ingestion” into one steel plate, creating the one-stop data development platform WhaleStudio. As a cloud-native, high-performance DataOps system with a strong visual interface, WhaleStudio added enterprise-grade features for commercial customers. It integrates WhaleScheduler and WhaleTunnel — combining world-leading scheduling and data integration components into one complete solution, so even Marketing Analysts can run data flows on their own. Not flashy, but globally deliverable with just one binary — cutting costs, leaving margins for partners, and ensuring renewals. “Differentiation” is not a feature list, but a cost structure of delivery that others can’t copy. “Differentiation” is not a feature list, but a cost structure of delivery that others can’t copy. Advice for Open Source Entrepreneurs Be Well Prepared Before Open Sourcing You must prepare resources before going open source, like stocking bullets before a battle. Otherwise, if attention surges after open sourcing but you lack the strength to support it, competitors will exploit the gap. These “bullets” include funding, key customers, and compliance budgets. Don’t Just Chase Big Contracts — Value the Product Itself Million-dollar customization deals may look tempting, but they can drag teams down. Long delivery times, slow payments, low margins — all risk cash flow breakage and stall product R&D. Better to break large deals into smaller ones, ensuring 70% standardized module reuse to sustain product growth. True Competitiveness Lies in Global Delivery, Channels, and Ecosystem Code is easy to copy, data can be faked, but the advantages built by global delivery, channels, and ecosystem are hard to replicate. Global delivery ensures products reach customers efficiently. Channels expand the market and connect stakeholders. Ecosystems foster cooperation and win-win outcomes. For example, partners bring in new customers via channels, and industry experts amplify brand voices within ecosystems. These three support each other to form a solid system. Such long-term collaborative relationships are the true competitive advantage. Finally, be yourself. The open source community values individual capability, but the global business world values consistency. Infuse values into every step of product development so customers trust you and entrust their data. Only by being authentic can you win both customer trust and investment. be yourself. Author Bio Guo Wei, CEO of WhaleOps Guo Wei, CEO of WhaleOps Member of the Global Top-tier Open Source Foundation - Apache Software FoundationMember of Apache IPMC - Mentor of Apache IncubatorFounder & PMC of Apache DolphinSchedulerMentor of Apache SeaTunnelFounder of ClickHouse Chinese CommunityAuthor of the General Course on Data Analysis Thinking Member of the Global Top-tier Open Source Foundation - Apache Software Foundation Member of the Global Top-tier Open Source Foundation - Apache Software Foundation Member of Apache IPMC - Mentor of Apache Incubator Member of Apache IPMC - Mentor of Apache Incubator Founder & PMC of Apache DolphinScheduler Founder & PMC of Apache DolphinScheduler Mentor of Apache SeaTunnel Mentor of Apache SeaTunnel Founder of ClickHouse Chinese Community Founder of ClickHouse Chinese Community Author of the General Course on Data Analysis Thinking Author of the General Course on Data Analysis Thinking Known as Guo Daxia, he graduated from Peking University and studied under Professor Tang Shishi, a leading expert in data warehousing. He has held important positions in big data at Teradata, IBM, and China International Capital Corporation successively. He once served as the General Manager of the Data Department of Wanda E-commerce, the person in charge of Lenovo's Big Data Platform, and the CTO of Analysys. He has made outstanding contributions to cutting-edge research in big data. Known as Guo Daxia, he graduated from Peking University and studied under Professor Tang Shishi, a leading expert in data warehousing. He has held important positions in big data at Teradata, IBM, and China International Capital Corporation successively. He once served as the General Manager of the Data Department of Wanda E-commerce, the person in charge of Lenovo's Big Data Platform, and the CTO of Analysys. He has made outstanding contributions to cutting-edge research in big data.
