Comet vs Neptune.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 2.6 for Neptune.ai, and ranks ahead in 50% of the answers that name both.

Choose Comet if…

You want the brand AI engines rank higher (13.6 vs 2.6)
You need more native integrations (60+ vs 25+)
AI answers describe it more positively (53% vs 25% positive)
You need SOC 2 or ISO 27001 or ISO 9001 or HIPAA or GDPR coverage

Choose Neptune.ai if…

Collaboration-first dashboard for tracking experiments
Lightweight metadata store built for experiment tracking
Discounts on annual plans

AI visibility side by side

Latest weekly run · Nov 2

Metric	Comet	Neptune.ai
Visibility score	13.6%	2.6%
Change vs last week	New	New
Rank in MLOps Platforms	#10	#24
Share of voice	2.7%	0.6%
Mentions this run	19	4
Positive in AI answers	53%	25%

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

Visibility score trend

Weekly runs over the last 60 days

Comet 0pp · Neptune.ai 0pp over 0 weekly runs.

Engine by engine

Comet leads on 2 of 3 engines

ChatGPT

21.3%

0.9%

AI Mode

4.8%

6.8%

Perplexity

14.8%

CometNeptune.ai

Head to head in AI answers

2 engine answers name both brands

1Comet ranked higher

1Neptune.ai ranked higher

Prompt	Engine	Comet	Neptune.ai
Alternatives to the most popular MLOps platform	AI Mode	#5	#4
Official website of the top MLOps platform vendors	ChatGPT	#9	#16

Features, pricing & fit

Dimension	Comet	Neptune.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	Hosted service by default, with a self-hosted option on-premises or on AWS, Google Cloud or Azure as a Kubernetes cluster, deployed as microservices via a Helm chart.
Integrations	60+	25+
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	2017
Headquarters	New York, NY, United States	Palo Alto, California, United States
Employees	51–200	51–200
Funding	Series B · $70M raised	Series A · $18M raised
Best for	Developers and teams building LLM applications and AI agents who need tracing, testing and evaluation.	Teams training foundation models and other large-scale machine learning models that need to monitor GPT-scale training runs.