Evidently AI vs Snowflake

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

The short answer

Snowflake is the stronger AI pick in MLOps Platforms: it has a visibility score of 6.3 versus 2.4 for Evidently AI, and ranks ahead in 100% of the answers that name both.

Choose Evidently AI if…

AI answers describe it more positively (50% vs 35% positive)
Listed as a monitoring option in vendor-neutral ML stacks
Named alongside Prometheus and Grafana in monitoring setups
Grouped with Arize and WhyLabs as a monitoring tool

Choose Snowflake if…

You want the brand AI engines rank higher (6.3 vs 2.4)
You need ISO 27001 or SOC 1 or SOC 2 Type 2 or FedRAMP Moderate or FedRAMP High or DoD IL4 or DoD IL5 or PCI-DSS or HITRUST or TISAX or ITAR or ISO 42001 coverage
You prefer a larger, established vendor (5,000+ employees)
Multi-cloud deployment and secure, governed data sharing

AI visibility side by side

Latest weekly run · Nov 2

Metric	Evidently AI	Snowflake
Visibility score	2.4%	6.3%
Change vs last week	New	New
Rank in MLOps Platforms	#25	#13
Share of voice	0.9%	1.1%
Mentions this run	7	8
Positive in AI answers	50%	35%

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

Visibility score trend

Weekly runs over the last 60 days

Evidently AI 0pp · Snowflake 0pp over 0 weekly runs.

Engine by engine

Snowflake leads on 3 of 3 engines

ChatGPT

5.4%

7.8%

AI Mode

4.8%

Perplexity

1.9%

6.3%

Evidently AISnowflake

Head to head in AI answers

1 engine answers name both brands

0Evidently AI ranked higher

1Snowflake ranked higher

Prompt	Engine	Evidently AI	Snowflake
What should an MLOps platform integrate with?	ChatGPT	#19	#1

Features, pricing & fit

Dimension	Evidently AI	Snowflake
Pricing model	—	Usage-based
Entry price	—	Contact sales
Free plan	—	No
Deployment	The open-source version runs on the customer's own infrastructure; Evidently Cloud runs on managed infrastructure.	Fully managed cloud service that runs across major public clouds and regions
Compliance	—	ISO 27001, SOC 1, SOC 2 Type 2, FedRAMP Moderate, FedRAMP High, DoD IL4, DoD IL5, PCI-DSS, HITRUST, TISAX, ITAR, ISO 42001
Support	—	Support, Priority Support, Status page, Community forum
Founded	2020	2012
Headquarters	San Francisco, CA, United States	Andover, KS, United States
Employees	1–10	5,000+
Funding	Seed · $1M raised	Post-IPO equity
Best for	AI and ML teams that want open-source evaluation, testing and monitoring for LLM applications and predictive models.	Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations