How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Katalon has -29.6%.

How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. Katalon: Freemium, Free Trial, Paid, Contact for Pricing. Freemium with a free tier for local authoring and execution, plus a 30-day free trial of paid features. Professional is roughly $1,800 per seat per year (around $150 per seat per month) with AI agents, MCP server access, desktop testing, parallel execution and CI/CD integrations. Enterprise is quoted on contract and adds SSO/SAML, SCIM provisioning, RBAC, audit logs, private cloud or on-premises deployment, hybrid licensing and premium support.

What are alternatives to Devin and Katalon?

Other tools in related categories include Cursor, Manus, Google Antigravity, Replit, Qoder.

Devin vs Katalon — Traffic (2.55M vs 158.09K), Pricing & Verdict

Open AI Tools

Devin vs Katalon — Traffic (2.55M vs 158.09K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Devin	Katalon
Official Domain	devin.ai	katalon.com
Pricing Model	Paid	Freemium, Free Trial, Paid, Contact for Pricing
Monthly Visits	2.55M (2,549,346)	158.09K (158,090)
MoM Traffic Delta	+25.38K (+1%)	-66.44K (-29.6%)
Primary Market & Share	🇺🇸 United States (28.1%)	🇻🇳 Vietnam (18.3%)
Direct Visits / mo	1.39M	87.97K
User Rating	4.3	4.5
Supported Platforms	website	Website

Devin

Cognition's autonomous software engineer that ships real pull requests

End-to-end autonomous coding

Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.

Its own virtual machines

Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.

Slack, Teams, and alert integration

Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.

Parallel cloud agents

Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.

Strengths & Pros

+Handles ticket-level autonomous work rather than only suggesting code completions
+Tests in its own browser and VMs, which catches issues that pure code generation misses
+Deep workflow integration with Slack, Teams, CI, and alerting tools
+Keeps working in parallel cloud agents even when your machine is off