SUSE AI vs. Haystack by deepset
A side-by-side comparison based on G2 review data.
| Metric | SUSE AI | Haystack by deepset |
|---|---|---|
| Overall rating | 4.4 | 4.4 |
| Review count | 10 | 11 |
| Ease of use | 8.4 | 8.4 |
| Ease of setup | 7.8 | 0.0 |
| Quality of support | 9.2 | 8.4 |
| Meets requirements | 9.0 | 8.8 |
| NPS | 50 | 63.636364 |
| Small Business | 44.4% | 50.0% |
| Mid-Market | 33.3% | 30.0% |
| Enterprise | 22.2% | 20.0% |
| Total page views | 205 | 66 |
| Total LLM citations | 167 | 766 |
SUSE AI
SUSE AI is an enterprise-ready, cloud native platform for securely running and deploying GenAI workloads. Built on the SUSE Rancher foundation, SUSE AI opens the "black box" of AI infrastructure by providing comprehensive, AI specific monitoring and management and zero-trust security from supply chain to runtime to AI workloads.
- Ease of Use
- Setup Ease
- Deployment Ease
- Performance Satisfaction
- Documentation
- Customer Support
Haystack by deepset
Haystack is deepset's open-source Python AI orchestration framework for building customizable, production-grade AI agents and workflows. Connect components like language models, vector databases, and file converters into pipelines and agents that retrieve, reason, and act on your own data; use hooks to control the agent loop: enforce a token budget before the next LLM call, incorporate human approval before a risky tool call, or use compaction to keep context small.
- Natural Language Processing
- Ease of Use
- User Interface
- Open-Source
- Scalability
- Time-saving