DagsHub vs Databricks

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 3.5 for DagsHub, and ranks ahead in 0% of the answers that name both.

Choose DagsHub if…

Structured annual pricing with yearly billing options on team tiers
Recommended as a starting option for MLOps lifecycle coverage

Choose Databricks if…

You want the brand AI engines rank higher (46.2 vs 3.5)
You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
You prefer a larger, established vendor (5,000+ employees)
Lakehouse architecture combining data warehousing with data lake flexibility

AI visibility side by side

Latest weekly run · Nov 2

Metric	DagsHub	Databricks
Visibility score	3.5%	46.2%
Change vs last week	New	New
Rank in MLOps Platforms	#23	#2
Share of voice	0.6%	7.6%
Mentions this run	4	51
Positive in AI answers	—	35%

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

Visibility score trend

Weekly runs over the last 60 days

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

Engine by engine

Databricks leads on 3 of 3 engines

ChatGPT

3.1%

43.3%

AI Mode

3.1%

51.1%

Perplexity

4.3%

44.1%

DagsHubDatabricks

Head to head in AI answers

3 engine answers name both brands

3DagsHub ranked higher

0Databricks ranked higher

Prompt	Engine	DagsHub	Databricks
Alternatives to the most popular MLOps platform	Perplexity	#5	#12
Which MLOps Platforms tools offer annual discounts?	AI Mode	#2	#4
Which MLOps Platforms tools offer annual discounts?	Perplexity	#3	#8

Features, pricing & fit

Dimension	DagsHub	Databricks
Pricing model	Per seat	—
Entry price	Free; paid from $119 per seat / mo	—
Free plan	Yes	—
Deployment	Cloud hosting, with on-premise, VPC, and air-gapped installation on the Enterprise plan.	Available across all major cloud providers
Compliance	—	ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3
Support	Community chat and email, Priority support on the Team plan, Enterprise SLA and support	Technical support on request, Technical documentation
Founded	2019	2013
Headquarters	San Francisco, California, United States	San Francisco, CA
Employees	11–50	5,000+
Funding	Accelerator/incubator deal	Round at $60B valuation, including secondary sale
Best for	Data science and AI teams that manage multimodal datasets, experiments, and models, from individuals building small applications to enterprises running high-scale workloads.	Data engineering, data science, analytics and AI teams at startups and global enterprises