Google Cloud AI Infrastructure vs. Databricks
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud AI Infrastructure | Databricks |
|---|---|---|
| Overall rating | 4.5 | 4.6 |
| Review count | 45 | 1,388 |
| Ease of use | 9.2 | 8.9 |
| Ease of setup | 9.2 | 8.7 |
| Quality of support | 9.0 | 8.9 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 71.111111 | 77.851361 |
| Small Business | 48.9% | 15.1% |
| Mid-Market | 37.8% | 37.6% |
| Enterprise | 13.3% | 47.2% |
| Total page views | 216 | 16,340 |
| Total LLM citations | 572 | 14,031 |
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
Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- Features
- Ease of Use
- Integrations
- Collaboration
- Analytics
- Easy Integrations