Google Cloud AI Infrastructure vs. Squirro
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud AI Infrastructure | Squirro |
|---|---|---|
| Overall rating | 4.5 | 4.7 |
| Review count | 45 | 10 |
| Ease of use | 9.2 | 9.5 |
| Ease of setup | 9.2 | 9.2 |
| Quality of support | 9.0 | 9.5 |
| Meets requirements | 9.1 | 9.6 |
| NPS | 71.111111 | 70 |
| Small Business | 48.9% | 40.0% |
| Mid-Market | 37.8% | 40.0% |
| Enterprise | 13.3% | 20.0% |
| Total page views | 216 | 85 |
| Total LLM citations | 572 | 163 |
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.
- Scalability
- Computing Power
- Integrations
- Ease of Use
- Efficiency
- Cloud Services
Squirro
Squirro is the only European vendor to be named an Emerging Leader in the ‘Gen AI Engineering’ and ‘AI Knowledge Management Apps/General Productivity’ Emerging Market Quadrants 2025. Data finds purpose with Squirro, the first enterprise-ready generative AI for search, insights, and automation. Trusted by central banks and over 30 industry leaders. Squirro develops top-notch Retrieval Augmented Generation (RAG) and Semantic Search technology with access to an unlimited universe of data and connectors.
- Features
- Ease of Use
- Data Analytics
- User Interface
- Helpful
- Information Accuracy