How do their growth rates compare?

Qubinets has a month-over-month growth rate of 0%; Rivet.dev has -44.3%.

How does pricing compare?

Qubinets: Freemium. Freemium with paid and enterprise/managed tiers. A free or open-source core is offered, with paid plans and contact-based enterprise options layered on top. Because the site was unreachable during this audit, confirm exact pricing directly with the vendor. Rivet.dev: Freemium, Contact for Pricing. Rivet Cloud uses a plan-plus-nodes model. The control plane is Free ($0) for prototyping, Hobby at $10/month, Team at $120/month, and Enterprise at $900/month, each raising control-plane redundancy, Actor Node caps, and support. Actor Nodes are billed per month on top, from $4.20 (R-5) to $94.50 (R-160). Self-hosting is free and open source under Apache 2.0, and startups from Y Combinator or a16z Speedrun get 50% off the Team plan for 12 months.

What are alternatives to Qubinets and Rivet.dev?

Other tools in related categories include RunPod, Modal, Nebius, Mastra, Lightning AI.

Qubinets vs Rivet.dev — Traffic (802 vs 21.36K), Pricing & Verdict

Open AI Tools

Qubinets vs Rivet.dev — Traffic (802 vs 21.36K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Qubinets	Rivet.dev
Official Domain	qubinets.com	rivet.dev
Pricing Model	Freemium	Freemium, Contact for Pricing
Monthly Visits	802 (802)	21.36K (21,359)
MoM Traffic Delta	+802 (0%)	-16.97K (-44.3%)
Primary Market & Share	🇹🇭 Thailand (100%)	🇺🇸 United States (39.4%)
Direct Visits / mo	334	10.71K
User Rating	4	4.5
Supported Platforms	Website	Website

Qubinets

Simpler AI and big-data infrastructure on Kubernetes

Kubernetes AI infrastructure

Get AI and big-data workloads running on Kubernetes without wiring every component by hand.

Data pipeline management

Assemble and manage data pipelines that feed models and analytics workloads.

Open-source foundation

An open-source core that teams can inspect, extend and self-host.

AI agent hosting

Build and run AI agents alongside your infrastructure rather than as a separate silo.

Strengths & Pros

+Targets a genuinely painful problem: Kubernetes-based AI and data infrastructure
+Open-source core avoids full vendor lock-in
+Covers data pipelines and AI agents in one platform
+Free tier lowers the cost of trying it
+Cloud-native approach fits existing Kubernetes stacks