FastlyvsHazelcast

How 10 AI models weigh Fastly against Hazelcast on the 1 buying question where both came up.

Fastly
54%of answers named it
Hazelcast
57%of answers named it
Placed higher
21–17times Fastly vs Hazelcast, over 38 model rankings that listed either
Models leaning
4–3toward Fastly vs Hazelcast; 3 even

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

ModelFastlyHazelcastPlaced higherLeans
Claude Haiku 5.550%92%2–2Even
GPT-6 Luna75%33%3–1Fastly
Gemini 4 Argon58%75%2–2Even
Qwen 3.8 Flash58%17%3–0Fastly
DeepSeek V4 Pro58%75%1–3Hazelcast
GLM-5.317%83%1–3Hazelcast
Kimi K350%67%2–2Even
MiniMax M367%67%3–1Fastly
Mistral Large 475%0%3–0Fastly
Nemotron 3 Ultra27%64%1–3Hazelcast

What the models say about Fastly

One reason per model, from the shared questions

  • Claude Haiku 5.5Programmable edge cache with instant purging, popular with developer-focused teams.
  • GPT-6 LunaPowerful edge caching with rapid purging and fine-grained request controls.
  • Gemini 4 ArgonDeveloper-centric edge cloud platform built on Varnish with near-instantaneous global cache purging capabilities.
  • Qwen 3.8 FlashReal-time programmable CDN edge cache with instant purge capabilities.
  • DeepSeek V4 ProReal-time purging, edge compute, and superior control for DevOps-heavy teams.
  • GLM-5.3Best-in-class instant purging and edge cache control for demanding sites.
  • Kimi K3Real-time edge caching with powerful instant purging.
  • MiniMax M3Programmable edge caching with instant purge capability.
  • Mistral Large 4Real-time CDN with instant purging and powerful edge compute capabilities.

What the models say about Hazelcast

One reason per model, from the shared questions

  • Claude Haiku 5.5Distributed in-memory data grid offering caching with clustering and near-cache support.
  • GPT-6 LunaDistributed in-memory data platform with caching and flexible deployment options.
  • Gemini 4 ArgonDistributed in-memory data grid providing near-cache capabilities and strong consistency for enterprise applications.
  • DeepSeek V4 ProEmbedded distributed cache with near-cache for sub-millisecond lookups.
  • GLM-5.3Scalable in-memory data grid with strong Java integration.
  • Kimi K3Strong distributed in-memory data grid for Java-heavy stacks.
  • MiniMax M3Distributed in-memory cache with strong consistency features.
  • Nemotron 3 UltraDistributed in-memory computing platform

Tracked since October 25, 2026. Each time the panel answers these questions again, both shares are added here.

Question by question

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

QuestionFastlyHazelcast
Best caching tools for web apps54% #557% #4