DataikuThe Platform for AI Success
vs
PostgreSQLThe world's most advanced open source database
Comparison · AI Agents · weekly run Nov 3
Dataiku vs PostgreSQL
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
PostgreSQL is the stronger AI pick in AI Agents: it has a visibility score of 2.3 versus 1.7 for Dataiku.
Choose Dataiku if…
- AI answers describe it more positively (48% vs 35% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or HIPAA or GxP or GDPR coverage
- You prefer a larger, established vendor (1,001–5,000 employees)
- Bridges data scientists and business teams for collaboration
Choose PostgreSQL if…
- You want the brand AI engines rank higher (2.3 vs 1.7)
- 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
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | PostgreSQL |
|---|---|---|
| Visibility score | 1.7% | 2.3% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #38 |
| Share of voice | 0.7% | 0.8% |
| Mentions this run | 5 | 5 |
| Positive in AI answers | 48% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · PostgreSQL 0pp over 0 weekly runs.
Engine by engine
PostgreSQL leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuPostgreSQL
Head to head in AI answers
0 engine answers name both brands
0Dataiku ranked higher
0PostgreSQL ranked higher
Features, pricing & fit
| Dimension | Dataiku | PostgreSQL |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | — |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | — |
| Support | — | Community mailing lists, Community events and local user groups |
| Founded | 2013 | — |
| Headquarters | New York City, NY | United States |
| Employees | 1,001–5,000 | 51–200 |
| Funding | Series E · $600M raised | — |
| Best for | Large enterprises, including highly regulated ones, where business experts and IT need to build AI together under central governance | — |
Pros and cons
Themes from the AI answers that mention each brand
Dataiku
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
- Broad enterprise MLOps platform
- Best for enterprise collaboration and governance
- Steep platform fees that scale aggressively
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, “Dataiku vs PostgreSQL”, https://slateindex.ai/compare/dataiku-vs-postgresql, data of Nov 3, 2026. Licence: CC BY 4.0.