Metabase vs Preset

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

The short answer

Metabase is the stronger AI pick in Business Intelligence: it has a visibility score of 21.7 versus 0.9 for Preset, and ranks ahead in 100% of the answers that name both.

Choose Metabase if…

You want the brand AI engines rank higher (21.7 vs 0.9)
AI answers describe it more positively (63% vs 0% positive)
You need SOC 1 or SOC 2 Type II or GDPR or CCPA coverage
Free open-source edition for self-hosting

Choose Preset if…

You want a lower entry price ($20 vs $100)
You need SOC 2 coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Metabase	Preset
Visibility score	21.7%	0.9%
Change vs last week	New	New
Rank in Business Intelligence	#5	#32
Share of voice	5.2%	0.3%
Mentions this run	27	2
Positive in AI answers	63%	0%

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

Visibility score trend

Weekly runs over the last 60 days

Metabase 0pp · Preset 0pp over 0 weekly runs.

Engine by engine

Metabase leads on 3 of 3 engines

ChatGPT

25.9%

2.6%

AI Mode

18.7%

Perplexity

20.6%

MetabasePreset

Head to head in AI answers

2 engine answers name both brands

2Metabase ranked higher

0Preset ranked higher

Prompt	Engine	Metabase	Preset
How do companies turn company data into dashboards without a dedicated tool?	ChatGPT	#5	#6
Is there a free business intelligence tool for small teams?	ChatGPT	#2	#6

Features, pricing & fit

Dimension	Metabase	Preset
Pricing model	Per seat	Per seat
Entry price	Free; paid from $100 per seat / mo	Free; paid from $20 per seat / mo
Free plan	Yes	Yes
Deployment	Self-hosted or Metabase Cloud, with air-gapped deployment available on Enterprise	Cloud-hosted SaaS, managed private cloud, on-prem, or embedded analytics
Integrations	237+	—
Compliance	SOC 1, SOC 2 Type II, GDPR, CCPA	SOC 2
Support	Email, Support form, Slack, Microsoft Teams	Standard customer support, Dedicated support via Slack, Enterprise SLA
Founded	2014	2019
Headquarters	—	San Mateo, California, United States
Employees	51–200	51–200
Funding	Series B · $43M raised	Series C · $48M raised
Best for	Teams that want self-service analytics without relying on engineers, and software companies that need to embed analytics in their product	Small teams starting free, and organizations that want managed Apache Superset with the option to migrate to open-source Superset.