Databricks vs Hopsworks

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

The short answer

Databricks is the stronger AI pick in MLOps Platforms: it has a visibility score of 46.2 versus 0.3 for Hopsworks, and ranks ahead in 0% of the answers that name both.

Choose Databricks if…

You want the brand AI engines rank higher (46.2 vs 0.3)
AI answers describe it more positively (35% vs 0% positive)
You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
You prefer a larger, established vendor (5,000+ employees)

Choose Hopsworks if…

You need a self-hosted or on-premises option
You need GDPR or HIPAA coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Databricks	Hopsworks
Visibility score	46.2%	0.3%
Change vs last week	New	New
Rank in MLOps Platforms	#2	#52
Share of voice	7.6%	0.1%
Mentions this run	51	1
Positive in AI answers	35%	0%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT

43.3%

0.9%

AI Mode

51.1%

Perplexity

44.1%

DatabricksHopsworks

Head to head in AI answers

1 engine answers name both brands

0Databricks ranked higher

1Hopsworks ranked higher

Prompt	Engine	Databricks	Hopsworks
What should an MLOps platform integrate with?	ChatGPT	#21	#10

Features, pricing & fit

Dimension	Databricks	Hopsworks
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	Yes
Deployment	Available across all major cloud providers	Fully managed SaaS, self-hosted on Kubernetes, on-premises, air-gapped and hybrid
Compliance	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3	ISO 27001, SOC 2 Type II, GDPR, HIPAA
Support	Technical support on request, Technical documentation	Community support, Dedicated support team and custom integrations on Enterprise plan, Platform SLA on Enterprise plan
Founded	2013	2017
Headquarters	San Francisco, CA	Stockholm, Sweden
Employees	5,000+	11–50
Funding	Round at $60B valuation, including secondary sale	Series B
Best for	Data engineering, data science, analytics and AI teams at startups and global enterprises	Teams building production ML systems that need real-time feature serving and reuse of features across models