Arize vs Dagster

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

The short answer

Arize is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.5 versus 0.7 for Dagster, and ranks ahead in 0% of the answers that name both.

Choose Arize if…

You want the brand AI engines rank higher (1.5 vs 0.7)
You want a free plan to start
You need a self-hosted or on-premises option
You need ISO 27001 or PCI DSS or GDPR coverage

Choose Dagster if…

You want a lower entry price ($10 vs $50)
AI answers describe it more positively (50% vs 20% positive)
Usage-based pricing suits your budget better than flat tiers
named as a practical orchestration choice

AI visibility side by side

Latest weekly run · Nov 2

Metric	Arize	Dagster
Visibility score	1.5%	0.7%
Change vs last week	New	New
Rank in MLOps Platforms	#34	#40
Share of voice	0.7%	0.3%
Mentions this run	5	2
Positive in AI answers	20%	50%

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

Visibility score trend

Weekly runs over the last 60 days

Arize 0pp · Dagster 0pp over 0 weekly runs.

Engine by engine

Arize leads on 2 of 3 engines

ChatGPT

2.8%

AI Mode

0.9%

Perplexity

0.9%

2.2%

ArizeDagster

Head to head in AI answers

1 engine answers name both brands

0Arize ranked higher

1Dagster ranked higher

Prompt	Engine	Arize	Dagster
Alternatives to the most popular MLOps platform	Perplexity	#20	#17

Features, pricing & fit

Dimension	Arize	Dagster
Pricing model	Flat tiers	Usage-based
Entry price	Free; paid from $50 / mo	$10 / mo
Free plan	Yes	No · 30-day trial
Deployment	SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted.	Serverless or hybrid deployment; under hybrid, compute runs in the customer's own infrastructure while Dagster manages the control plane.
Integrations	40+	—
Compliance	SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR	SOC 2 Type II, HIPAA
Support	Community, Email, Dedicated support on Enterprise	Dagster community, Support Center and Ask AI, Billing support, Dedicated Slack or Microsoft Teams channel (Pro plan)
Founded	2020	2018
Headquarters	—	San Francisco, CA, United States
Employees	51–200	51–200
Funding	Series B-1 extension · $131M raised	Series B · $49M raised
Best for	AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations.	Data teams running dbt, Snowflake and Python data pipelines who want lineage and health visibility across their stack.