AgentCorePlatform for building, deploying, and operating AI agents at scale
vs
DataikuThe Platform for AI Success
Comparison · AI Agents · weekly run Nov 3
AgentCore vs Dataiku
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
AgentCore is the stronger AI pick in AI Agents: it has a visibility score of 6.2 versus 1.7 for Dataiku, and ranks ahead in 100% of the answers that name both.
Choose AgentCore if…
- You want the brand AI engines rank higher (6.2 vs 1.7)
- You need HIPAA eligible or FedRAMP (Class C and D) or SOC 2 or CSA STAR or ISO certifications coverage
- You prefer a larger, established vendor (5,000+ employees)
- infrastructure-level security
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 HIPAA or GxP or GDPR coverage
- Bridges data scientists and business teams for collaboration
- End-to-end governance and operationalization
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AgentCore | Dataiku |
|---|---|---|
| Visibility score | 6.2% | 1.7% |
| Change vs last week | New | New |
| Rank in AI Agents | #20 | #46 |
| Share of voice | 1.5% | 0.7% |
| Mentions this run | 11 | 5 |
| Positive in AI answers | 30% | 48% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AgentCore 0pp · Dataiku 0pp over 0 weekly runs.
Engine by engine
AgentCore leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
AgentCoreDataiku
Head to head in AI answers
2 engine answers name both brands
2AgentCore ranked higher
0Dataiku ranked higher
| Prompt | Engine | AgentCore | Dataiku |
|---|---|---|---|
| Best AI agent platform for enterprise | Perplexity | #5 | #17 |
| Which AI Agents vendors do analysts recommend? | ChatGPT | #22 | #25 |
Features, pricing & fit
| Dimension | AgentCore | Dataiku |
|---|---|---|
| Deployment | Cloud service on AWS; Runtime instances can also run agents on the customer's own EC2 instances | Runs on the clouds, data platforms and models a customer already has |
| Compliance | HIPAA eligible, FedRAMP (Class C and D), SOC 2, CSA STAR, ISO certifications | ISO 27001:2022, ISO 27701:2019, SOC 1 Type II, SOC 2 Type II, HIPAA, GxP, GDPR |
| Founded | — | 2013 |
| Headquarters | Seattle, Washington | New York City, NY |
| Employees | 5,000+ | 1,001–5,000 |
| 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
AgentCore
- infrastructure-level security
- scalable, feature-rich cloud infrastructure
- one of the world's largest cloud platforms
- developer-centric, requires custom workflow work
- complexity and pricing need careful management
- requires a capable engineering team
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
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “AgentCore vs Dataiku”, https://slateindex.ai/compare/agentcore-vs-dataiku, data of Nov 3, 2026. Licence: CC BY 4.0.