How do their growth rates compare?

CodeThreat has a month-over-month growth rate of -70.5%; Datadog has -4.8%.

How does pricing compare?

CodeThreat: Freemium, Contact for Pricing. Freemium with a published entry price: Free plan at $0/month (3 private repositories, limited agentic PR review and false-positive elimination, SAST + SCA), Pro at $39 per contributor per month adding RBAC, secret scanning, infrastructure security, Jira integration and vulnerability reporting/exports, and Enterprise pricing on request for on-prem deployment, SLA support, compliance reporting and private LLM hosting. Datadog: Freemium, Free Trial, Paid, Contact for Pricing, Free. Usage-based SaaS pricing. New customers get a free trial, and many individual products include free tiers or allowances (for example, a handful of free hosts, limited custom metrics or log ingestion credits). Beyond that you pay per host, per ingested log volume, per indexed span, per monitored synthetic test and per security seat, with annual commitments typically discounted. Enterprise and consolidated-bundle plans are quoted by sales.

What are alternatives to CodeThreat and Datadog?

Other tools in related categories include Cursor, CodeRabbit, Aikido Security, Augment Code, Arize AI.

CodeThreat vs Datadog — Traffic (674 vs 5.18M), Pricing & Verdict

Open AI Tools

CodeThreat vs Datadog — Traffic (674 vs 5.18M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	CodeThreat	Datadog
Official Domain	codethreat.com	datadoghq.com
Pricing Model	Freemium, Contact for Pricing	Freemium, Free Trial, Paid, Contact for Pricing, Free
Monthly Visits	674 (674)	5.18M (5,175,760)
MoM Traffic Delta	-1.61K (-70.5%)	-263.56K (-4.8%)
Primary Market & Share	🇧🇷 Brazil (76.3%)	🇺🇸 United States (41.4%)
Direct Visits / mo	279	2.75M
User Rating	4.4	4.7
Supported Platforms	Website	Website

CodeThreat

AI-native SAST that reviews your pull requests and cuts the false-positive noise

Agentic PR review

An AI agent analyses code changes at pull-request level and surfaces risks before merge, so security becomes part of code review rather than a post-release audit.

False positive elimination

A dedicated agent re-checks each finding, flags non-exploitable ones and explains why they are likely false positives, so developers spend their time on real vulnerabilities.

AI SAST with project context

Understands repository context to detect complex issues such as logic flaws, authentication problems and unsafe data flows that rule-based scanners frequently miss.

Repository mapping and agentic repo analysis

Maps the entire codebase, links components and flows, and generates insights on architecture, documentation, endpoints, dependencies and data flow for faster onboarding.

Strengths & Pros

+AI agents filter false positives and explain findings in developer-friendly language, which reduces alert fatigue
+Genuinely consolidated coverage: SAST, SCA, IaC, container and secret scanning in one platform
+Transparent self-serve pricing with a free tier and a $39 per contributor Pro plan