MakeAI automation you can visually build and orchestrate in real time.
vs
PostgreSQLThe world's most advanced open source database
Comparison · AI Agents · weekly run Nov 3
Make vs PostgreSQL
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Make is the stronger AI pick in AI Agents: it has a visibility score of 17 versus 2.3 for PostgreSQL, and ranks ahead in 0% of the answers that name both.
Choose Make if…
- You want the brand AI engines rank higher (17 vs 2.3)
- AI answers describe it more positively (41% vs 35% positive)
- You need GDPR or SOC 2 Type II or SOC 3 or ISO 27001 coverage
- You prefer a larger, established vendor (201–500 employees)
Choose PostgreSQL if…
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Make | PostgreSQL |
|---|---|---|
| Visibility score | 17% | 2.3% |
| Change vs last week | New | New |
| Rank in AI Agents | #9 | #38 |
| Share of voice | 3.6% | 0.8% |
| Mentions this run | 24 | 5 |
| Positive in AI answers | 41% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Make 0pp · PostgreSQL 0pp over 0 weekly runs.
Engine by engine
Make leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
MakePostgreSQL
Head to head in AI answers
1 engine answers name both brands
0Make ranked higher
1PostgreSQL ranked higher
| Prompt | Engine | Make | PostgreSQL |
|---|---|---|---|
| What should an AI agent platform integrate with? | ChatGPT | #14 | #8 |
Features, pricing & fit
| Dimension | Make | PostgreSQL |
|---|---|---|
| Deployment | Cloud, hosted on Amazon AWS | — |
| Integrations | 3500+ | — |
| Compliance | GDPR, SOC 2 Type II, SOC 3, ISO 27001 | — |
| Support | Help center, Community forum, 24/7 support on Enterprise plans, Dedicated support team on Enterprise plans | Community mailing lists, Community events and local user groups |
| Founded | 2012 | — |
| Headquarters | Prague, Czech Republic | United States |
| Employees | 201–500 | 51–200 |
| Best for | Teams and organizations deploying AI and automation across the business, from a single department to company-wide. | — |
Pros and cons
Themes from the AI answers that mention each brand
Make
- Free tier with 1,000 credits per month
- Transparent pricing with paid plans from $12/month
- Visual, no-code automation between existing apps
- Integrations with more than 3,000 apps
- Built-in AI agents for business workflows
PostgreSQL
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
- Hosting, backups, and maintenance must be paid for when self-hosted
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Make vs PostgreSQL”, https://slateindex.ai/compare/make-vs-postgresql, data of Nov 3, 2026. Licence: CC BY 4.0.