DataikuThe Platform for AI Success
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3
Dataiku vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Looker is the stronger AI pick in AI Agents: it has a visibility score of 10.4 versus 1.7 for Dataiku, and ranks ahead in 50% of the answers that name both.
Choose Dataiku if…
- AI answers describe it more positively (48% vs 30% positive)
- You need ISO 27001:2022 or ISO 27701:2019 or SOC 1 Type II or SOC 2 Type II or GxP or GDPR coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
Choose Looker if…
- You want the brand AI engines rank higher (10.4 vs 1.7)
- You need SOC 2 or ISO 27001 or FedRAMP coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Dataiku | Looker |
|---|---|---|
| Visibility score | 1.7% | 10.4% |
| Change vs last week | New | New |
| Rank in AI Agents | #46 | #13 |
| Share of voice | 0.7% | 2.5% |
| Mentions this run | 5 | 17 |
| Positive in AI answers | 48% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Dataiku 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Looker leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataikuLooker
Head to head in AI answers
2 engine answers name both brands
1Dataiku ranked higher
1Looker ranked higher
| Prompt | Engine | Dataiku | Looker |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #25 | #13 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #12 | #14 |
Features, pricing & fit
| Dimension | Dataiku | Looker |
|---|---|---|
| Deployment | Runs on the clouds, data platforms and models a customer already has | Google Cloud |
| Compliance | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Founded | 2013 | — |
| Headquarters | New York City, NY | — |
| Employees | 1,001–5,000 | — |
| Funding | Series E · $600M raised | Series E · $280M 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
Looker
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
- Around 4.5 out of 5 stars on Gartner Peer Insights
- Quote-only enterprise pricing starting above $60,000 a year
- Poor fit for NoSQL-heavy data stacks or standalone embedded needs
- Less suited to teams using macOS without virtual machines
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Dataiku vs Looker”, https://slateindex.ai/compare/dataiku-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.