Haystack vs. Sleuth
A side-by-side comparison based on G2 review data.
| Metric | Haystack | Sleuth |
|---|---|---|
| Overall rating | 4.8 | 4.6 |
| Review count | 11 | 41 |
| Ease of use | 8.8 | 8.9 |
| Ease of setup | 9.5 | 8.1 |
| Quality of support | 10.0 | 9.5 |
| Meets requirements | 8.8 | 8.8 |
| NPS | 90 | 68.292683 |
| Small Business | 63.6% | 27.5% |
| Mid-Market | 36.4% | 52.5% |
| Enterprise | 0.0% | 20.0% |
| Total page views | 99 | 66 |
| Total LLM citations | 172 | 292 |
Haystack
Haystack analyzes GitHub data and provides team level insights to help you improve delivery. Visualize your delivery pipeline from first commit to deploy and get real-time Slack alerts for burnout, PRs stuck in review, and more while utilizing only the best "NorthStar" metrics backed by extensive research.
Sleuth
Sleuth helps Engineering leaders achieve business alignment and ensure predictable delivery with operational excellence. It does that by offering all three key components of a highly successful Engineering metrics program: Metrics, Reviews, and Automations. Metrics that Sleuth delivers include quantitative ones such as DORA metrics, as well as qualitative ones such as DevEx score that fit frameworks like SPACE. Reviews are Sleuth's secret sauce for turning metric insights into real outcomes and ultimately business value.
- Metrics Analysis
- Customer Support
- Easy Integrations
- Metrics
- Integrations
- Ease of Use