Arize vs Hopsworks

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 0.3 for Hopsworks, 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 0.3)
AI answers describe it more positively (20% vs 0% positive)
You need PCI DSS coverage
You prefer a larger, established vendor (51–200 employees)

Choose Hopsworks if…

Usage-based pricing suits your budget better than flat tiers

AI visibility side by side

Latest weekly run · Nov 2

Metric	Arize	Hopsworks
Visibility score	1.5%	0.3%
Change vs last week	New	New
Rank in MLOps Platforms	#34	#52
Share of voice	0.7%	0.1%
Mentions this run	5	1
Positive in AI answers	20%	0%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Arize leads on 3 of 3 engines

ChatGPT

2.8%

0.9%

AI Mode

0.9%

Perplexity

0.9%

ArizeHopsworks

Head to head in AI answers

1 engine answers name both brands

0Arize ranked higher

1Hopsworks ranked higher

Prompt	Engine	Arize	Hopsworks
What should an MLOps platform integrate with?	ChatGPT	#18	#10

Features, pricing & fit

Dimension	Arize	Hopsworks
Pricing model	Flat tiers	Usage-based
Entry price	Free; paid from $50 / mo	Contact sales
Free plan	Yes	Yes
Deployment	SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted.	Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid
Integrations	40+	—
Compliance	SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR	ISO 27001, SOC 2 Type II, GDPR, HIPAA
Support	Community, Email, Dedicated support on Enterprise	Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan
Founded	2020	2017
Headquarters	—	Stockholm, Sweden
Employees	51–200	11–50
Funding	Series B-1 extension · $131M raised	Series B
Best for	AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations.	Teams building production ML systems that need real-time feature serving and reuse of features across models