Comet vs Evidently AI

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Comet is the stronger AI pick in MLOps Platforms: it has a visibility score of 13.6 versus 2.4 for Evidently AI, and ranks ahead in 100% of the answers that name both.

Choose Comet if…

You want the brand AI engines rank higher (13.6 vs 2.4)
AI answers describe it more positively (53% vs 50% positive)
You need a self-hosted or on-premises option
You need SOC 2 or ISO 27001 or ISO 9001 or HIPAA or GDPR coverage

Choose Evidently AI if…

Listed as a monitoring option in vendor-neutral ML stacks
Named alongside Prometheus and Grafana in monitoring setups
Grouped with Arize and WhyLabs as a monitoring tool

AI visibility side by side

Latest weekly run · Nov 2

Metric	Comet	Evidently AI
Visibility score	13.6%	2.4%
Change vs last week	New	New
Rank in MLOps Platforms	#10	#25
Share of voice	2.7%	0.9%
Mentions this run	19	7
Positive in AI answers	53%	50%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Comet 0pp · Evidently AI 0pp over 0 weekly runs.

Engine by engine

Comet leads on 3 of 3 engines

ChatGPT

21.3%

5.4%

AI Mode

4.8%

Perplexity

14.8%

1.9%

CometEvidently AI

Head to head in AI answers

1 engine answers name both brands

1Comet ranked higher

0Evidently AI ranked higher

Prompt	Engine	Comet	Evidently AI
Alternatives to the most popular MLOps platform	Perplexity	#4	#19

Features, pricing & fit

Dimension	Comet	Evidently AI
Pricing model	Usage-based	—
Entry price	Free; paid from $19 / mo	—
Free plan	Yes	—
Deployment	Cloud, virtual private cloud, on-premises, or self-hosted open source	The open-source version runs on the customer's own infrastructure; Evidently Cloud runs on managed infrastructure.
Integrations	60+	—
Compliance	SOC 2, ISO 27001, ISO 9001, HIPAA, GDPR	—
Support	Community (Slack and GitHub), Self-service (Ask AI and Opik MCP Server), Email support, Dedicated support team and SLAs	—
Founded	2017	2020
Headquarters	New York, NY, United States	San Francisco, CA, United States
Employees	51–200	1–10
Funding	Series B · $70M raised	Seed · $1M raised
Best for	Developers and teams building LLM applications and AI agents who need tracing, testing and evaluation.	AI and ML teams that want open-source evaluation, testing and monitoring for LLM applications and predictive models.