DigitalOceanvsMongoDB Atlas

How 10 AI models weigh DigitalOcean against MongoDB Atlas on the 1 buying question where both came up.

DigitalOcean
96%of answers named it
MongoDB Atlas
3%of answers named it
Placed higher
38–1times DigitalOcean vs MongoDB Atlas, over 39 model rankings that listed either
Models leaning
10–0toward DigitalOcean vs MongoDB Atlas

Which models prefer which

Share of each model's answers that named each product, and how often its ranking put one above the other (a product listed beats one left off) · On the 1 shared question, every wording

ModelDigitalOceanMongoDB AtlasPlaced higherLeans
Claude Haiku 5.5100%0%4–0DigitalOcean
GPT-6 Luna100%0%4–0DigitalOcean
Gemini 4 Argon100%0%4–0DigitalOcean
Qwen 3.8 Flash67%0%3–0DigitalOcean
DeepSeek V4.1 Flash100%25%3–1DigitalOcean
GLM-5.3100%0%4–0DigitalOcean
Kimi K3100%0%4–0DigitalOcean
MiniMax M3100%0%4–0DigitalOcean
Mistral Large 4100%0%4–0DigitalOcean
Nemotron 3.5 Super VL92%0%4–0DigitalOcean

What the models say about DigitalOcean

One reason per model, from the shared questions

  • Claude Haiku 5.5Simple pricing and fast setup, ideal for small teams shipping quickly.
  • GPT-6 LunaSimple pricing and approachable infrastructure make it especially practical for lean teams.
  • Gemini 4 ArgonSimple, developer-friendly cloud infrastructure with transparent, low-cost pricing ideal for bootstrapped startups.
  • Qwen 3.8 FlashTransparent pricing, great docs, very startup-friendly.
  • DeepSeek V4.1 FlashSimple, predictable pricing; least DevOps overhead for small teams.
  • GLM-5.3Predictable low pricing, droplets and managed databases that startups understand.
  • Kimi K3Simple pricing, clean UX, and predictable infrastructure for lean engineering teams.
  • MiniMax M3Simple, affordable, and developer-friendly hosting for small teams.
  • Mistral Large 4Predictable pricing and simplicity perfect for cost-conscious startups.
  • Nemotron 3.5 Super VLSimple interface and predictable pricing for developers

What the models say about MongoDB Atlas

One reason per model, from the shared questions

Over time

Share of answers that named each, on the questions where both came up, each time the panel answered

Panel runDigitalOceanMongoDB Atlas
October 26, 202696%3%
October 25, 202695%0%

Question by question

Share of all answers that named each, every wording pooled, with its place among every product named · Both-named questions first

QuestionDigitalOceanMongoDB Atlas
Best cloud platforms for startups96% #23% #19
Best caching tools for web apps·3% #30