AWS vs Roboflow

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

The short answer

AWS is the stronger AI pick in MLOps Platforms: it has a visibility score of 35.7 versus 1.7 for Roboflow, and ranks ahead in 0% of the answers that name both.

Choose AWS if…

You want the brand AI engines rank higher (35.7 vs 1.7)
You need SOC 1 or SOC 3 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS Level 1 or FedRAMP or DoD SRG or ISO 9001 or ISO 27001 coverage
You prefer a larger, established vendor (5,000+ employees)
Core federation and multi-account management included at no extra charge

Choose Roboflow if…

AI answers describe it more positively (50% vs 16% positive)
You need a self-hosted or on-premises option
You need HIPAA coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	AWS	Roboflow
Visibility score	35.7%	1.7%
Change vs last week	New	New
Rank in MLOps Platforms	#4	#33
Share of voice	7.5%	0.3%
Mentions this run	51	2
Positive in AI answers	16%	50%

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

Visibility score trend

Weekly runs over the last 60 days

AWS 0pp · Roboflow 0pp over 0 weekly runs.

Engine by engine

AWS leads on 3 of 3 engines

ChatGPT

51.5%

2.6%

AI Mode

31.1%

Perplexity

24.4%

2.6%

AWSRoboflow

Head to head in AI answers

1 engine answers name both brands

0AWS ranked higher

1Roboflow ranked higher

Prompt	Engine	AWS	Roboflow
Which MLOps platform has the best reviews?	ChatGPT	#7	#3

Features, pricing & fit

Dimension	AWS	Roboflow
Pricing model	—	Usage-based
Entry price	—	Free; paid from $39 / mo
Free plan	—	Yes
Deployment	—	Roboflow-hosted cloud, dedicated deployments, or self-hosted with Inference on your own hardware, including air-gapped options on Enterprise plans.
Integrations	—	51+
Compliance	SOC 1, SOC 2, SOC 3, ISO 27017, ISO 27018, ISO 27701, PCI DSS Level 1, FedRAMP, DoD SRG, ISO 9001, ISO 27001	SOC 2, HIPAA
Support	—	Email and chat support, Ticket support, Named Customer Support Engineer on Enterprise, 24x7 support with SLA on Enterprise
Founded	2021	2020
Headquarters	Seattle, Washington	Remote, United States
Employees	5,000+	51–200
Funding	—	Series B · $62M raised
Best for	—	Developers and technical founders building vision applications, and enterprise AI, operations and engineering teams running vision AI on physical operations.