Google Cloud Managed Service for Apache Spark vs. IBM watsonx.data
A side-by-side comparison based on G2 review data.
| Metric | Google Cloud Managed Service for Apache Spark | IBM watsonx.data |
|---|---|---|
| Overall rating | 4.3 | 4.4 |
| Review count | 18 | 173 |
| Ease of use | 9.0 | 8.5 |
| Ease of setup | 7.1 | 8.3 |
| Quality of support | 9.0 | 8.7 |
| Meets requirements | 8.8 | 8.9 |
| NPS | 68.75 | 57.142857 |
| Small Business | 27.8% | 36.4% |
| Mid-Market | 38.9% | 30.2% |
| Enterprise | 33.3% | 33.3% |
| Total page views | 126 | 1,563 |
| Total LLM citations | 544 | 7,346 |
Google Cloud Managed Service for Apache Spark
Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead, and you pay only for the resources you use (with per-second billing). Cloud Dataproc also easily integrates with other Google Cloud Platform (GCP) services, giving you a powerful and complete platform for data processing, analytics and machine learning.
IBM watsonx.data
IBM® watsonx.data® helps you access, integrate and understand all your data —structured and unstructured—across any environment. It optimizes workloads for price and performance while enforcing consistent governance across sources, formats and teams. Watch the demo to learn how watsonx.data empowers you to build gen AI apps and powerful AI agents. Free Trial available: https://ibm.biz/Watsonx-data_Trial
- Ease of Use
- Features
- Data Management
- Integrations
- Analytics
- Flexibility