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If you’re a SaaS startup (like your coworking-software business!), choosing the right cloud provider is critical. Below are five highly recommended cloud computing platforms, with why each is a strong fit for a growing SaaS company, and what you’ll want to assess in making a decision. 1. Amazon Web Services (AWS) 6 Why it’s a top choice AWS is the market leader, offers huge breadth of services (compute, storage, analytics, ML, IoT) so you’ll have growth room. saasbold.com +3 geeksforgeeks.org +3 Editorialge +3 For startups they often have support programs/credits (helpful when margins are tight). Reuters Robust global footprint (important if you’re aiming for multi-region coverage or global customers). Considerations Complexity: With so many services it can be overwhelming. Cost-management: If you don’t monitor usage you risk “bill shock”. Best for Startups that anticipate scaling fast, need lots of services (analytics, ML, global reach) and are willing/able to invest in architecture and cost control. 2. Google Cloud Platform (GCP) 6 Why it stands out Google Cloud emphasizes data-/ML/analytics strengths (which can be beneficial if your SaaS product uses data insights or AI-adjacent features). saasbold.com +1 Startup outreach: they’ve been promoting credits, regional programs to help younger companies. IT Pro Strong network/low latency performance in many regions. Considerations Slightly fewer legacy enterprise clients than AWS (depending on region) so some ecosystem maturity gaps in certain verticals. If you’re heavily tied into Microsoft ecosystems, integration may have more friction than Azure. Best for Startups with a data/ML component, or who want a simpler (relatively) experience and want to lean into analytics, or are geographically oriented where Google has strong presence. 3. Microsoft Azure 6 Why it’s a strong contender Excellent for SaaS companies that integrate with the Microsoft ecosystem (Office365, Azure AD, Power Platform, etc.). uplatz.com +1 Good enterprise-grade tooling, hybrid cloud support (if you foresee mixing on-premises + cloud). Considerations The pricing structure and service names can be complex (as with most clouds). Some services may lag slightly in region availability or maturity compared to AWS in certain geographies. Best for Startups whose target customers are enterprises already using Microsoft stack, or who foresee hybrid/on-premises needs, or want tight integration with identity/BI tools. 4. DigitalOcean 6 Why it merits attention Simpler, more developer-friendly, cost-effective for smaller scale or early stage SaaS. Codeless +1 Great for MVPs or lean-teams that don’t want to manage huge complexity. Considerations As you scale massively or require advanced enterprise features (global multi-region, advanced networking, etc) you may find limitations compared to AWS/GCP/Azure. Fewer “all-in” enterprise-grade services (though they are growing). Best for Early stage SaaS (pre-series A or series A), simple architecture, lean teams, budget constrained. You can prove product/market fit here, then possibly migrate or expand later. 5. Oracle Cloud Infrastructure (OCI) 6 Why it’s interesting Recent analyses position OCI as very cost-competitive especially around network/egress pricing. Whileone If your SaaS targets industries with heavy Oracle usage (finance, ERP, etc) this may align. Considerations Smaller ecosystem compared to the big three (AWS, Azure, GCP), so fewer third-party integrations/tools. Community/familiarity may be lower depending on your team’s background. Best for Startups that are cost-sensitive, or targeting workloads/data-heavy scenarios (where egress & data movement cost matters), or those in Oracle-centric enterprise domains. What to evaluate (tailored for SaaS startups) Since your business is in the B2B SaaS space, here are key criteria to compare: Scalability & elasticity: Can you handle rapid spikes (e.g., new customer launches, integrations) without huge ops overhead? Editorialge +1 Global footprint / latency: If your users are global (e.g., coworking spaces in multiple countries) you’ll want many regions & good network performance. Cost model / predictability: Spend control, transparent cost, ability to forecast billing as you grow. (Look at compute, storage, network egress costs) Whileone +1 Security / compliance: For B2B SaaS, enterprise customers often demand ISO, SOC, GDPR, HIPAA etc — check provider capabilities. Startup support & credits: Free/discounted credits, mentorship, partner network — all help while you’re scaling. Ecosystem / integrations: Add-ons, tooling (CI/CD, monitoring, logging), partner marketplace. Migration/flexibility: Ability to pivot architecture, move from one provider to another if needed; avoid being locked in too hard. Target customer alignment: If your customers use Microsoft stack, Azure might align; if you rely heavily on data/ML, maybe GCP; if you’re lean and cost-sensitive, DigitalOcean might be right. My recommendation for your scenario Given your profile: You run/consult for coworking SaaS (with automation, lead-follow-ups, etc). Some thoughts: If you’re already using several services and expect scale (multiple markets, integrations, maybe IoT or analytics), go with AWS or GCP — they give maximum headroom. If your product strongly integrates with Microsoft (e.g., Power Platform, Azure AD, etc), Azure is appealing. If you’re in early stage and want to keep overhead low while proving more features, DigitalOcean is a smart “starter cloud”. You can always move later. Regardless of provider, treat cost forecasting, monitoring, and architecture governance as first-class citizens — because SaaS growth often hits “ops and bill creep” problems. If you like, I can compare pricing, credits, and startup programs for each of these five providers side-by-side (for 2025) specifically for B2B SaaS use-cases (so you can pick the best-fit). Would that be helpful?