G2 Vendor Directory

Google Cloud AI Infrastructure vs. Dataiku

A side-by-side comparison based on G2 review data.

MetricGoogle Cloud AI Infrastructure

by Google

Dataiku

by Dataiku

Overall rating4.54.4
Review count45267
Ease of use9.28.8
Ease of setup9.28.4
Quality of support9.08.7
Meets requirements9.18.9
NPS71.11111158.267717
Small Business48.9%18.6%
Mid-Market37.8%22.4%
Enterprise13.3%58.9%
Total page views2161,763
Total LLM citations57216,600

Google Cloud AI Infrastructure

Google Cloud AI Infrastructure offers a scalable, high-performance, and cost-effective platform tailored for diverse AI workloads, encompassing both training and inference tasks. By integrating advanced hardware accelerators such as GPUs and TPUs with managed services like Vertex AI and Google Kubernetes Engine (GKE), it enables efficient development, deployment, and scaling of AI models.

Pros

  • Scalability
  • Computing Power
  • Integrations
  • Ease of Use
  • Efficiency
  • Cloud Services

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.

Pros

  • Features
  • Ease of Use
  • Usability
  • Easy Integrations
  • Productivity Improvement
  • Collaboration