GitHub vs Hopsworks

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

The short answer

GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 9 versus 0.3 for Hopsworks, and ranks ahead in 100% of the answers that name both.

Choose GitHub if…

You want the brand AI engines rank higher (9 vs 0.3)
AI answers describe it more positively (48% vs 0% positive)
You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or PCI DSS or FedRAMP Tailored ATO coverage
You prefer a larger, established vendor (501–1,000 employees)

Choose Hopsworks if…

You need ISO 27001 or SOC 2 Type II or GDPR or HIPAA coverage
Usage-based pricing suits your budget better than per seat

AI visibility side by side

Latest weekly run · Nov 2

Metric	GitHub	Hopsworks
Visibility score	9%	0.3%
Change vs last week	New	New
Rank in MLOps Platforms	#11	#52
Share of voice	2%	0.1%
Mentions this run	14	1
Positive in AI answers	48%	0%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

GitHub leads on 3 of 3 engines

ChatGPT

11.5%

0.9%

AI Mode

5.6%

Perplexity

10%

GitHubHopsworks

Head to head in AI answers

1 engine answers name both brands

1GitHub ranked higher

0Hopsworks ranked higher

Prompt	Engine	GitHub	Hopsworks
What should an MLOps platform integrate with?	ChatGPT	#4	#10

Features, pricing & fit

Dimension	GitHub	Hopsworks
Pricing model	Per seat	Usage-based
Entry price	Free; paid from $4 per seat / mo	Contact sales
Free plan	Yes	Yes
Deployment	Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server	Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid
Compliance	SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO	ISO 27001, SOC 2 Type II, GDPR, HIPAA
Support	Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise)	Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan
Founded	2008	2017
Headquarters	San Francisco, California	Stockholm, Sweden
Employees	501–1,000	11–50
Funding	Round led by Sequoia Capital · $350M raised	Series B
Best for	Development teams, from individuals to enterprises, that build, review, and ship software on one platform.	Teams building production ML systems that need real-time feature serving and reuse of features across models