AWS Bedrock vs. Dataiku
A side-by-side comparison based on G2 review data.
| Metric | AWS Bedrock | Dataiku |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 78 | 267 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.7 | 8.4 |
| Quality of support | 8.8 | 8.7 |
| Meets requirements | 8.9 | 8.9 |
| NPS | 55.128205 | 58.267717 |
| Small Business | 21.8% | 18.6% |
| Mid-Market | 30.8% | 22.4% |
| Enterprise | 47.4% | 58.9% |
| Total page views | 792 | 1,763 |
| Total LLM citations | 5,001 | 16,600 |
AWS Bedrock
Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards.
- Ease of Use
- Model Variety
- Easy Integrations
- Integrations
- Features
- Customization
Dataiku
Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI.
- Features
- Ease of Use
- Usability
- Easy Integrations
- Productivity Improvement
- Collaboration