Holistics Data vs. Sigma
A side-by-side comparison based on G2 review data.
| Metric | Holistics Data | Sigma |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 15 | 614 |
| Ease of use | 8.6 | 8.8 |
| Ease of setup | 8.6 | 9.0 |
| Quality of support | 8.9 | 9.3 |
| Meets requirements | 8.6 | 8.8 |
| NPS | 46.666667 | 63.545151 |
| Small Business | 53.3% | 19.0% |
| Mid-Market | 40.0% | 56.2% |
| Enterprise | 6.7% | 24.8% |
| Total page views | 85 | 2,437 |
| Total LLM citations | 169 | 11,466 |
Holistics Data
Holistics is an AI analytics platform for teams that need governed, trustworthy answers across dashboards, self-service, and AI. It's built on a code-based semantic layer, so the metrics your team relies on stay consistent whether they're viewed in an embedded dashboard, explored by a business user, or surfaced through AI. With Holistics, you can: - Trust your AI analytics: Holistics AI reasons over your governed metric definitions rather than raw tables, so answers stay consistent with the numbers your team already uses.
- Embedding Features
- Detailed Analysis
- Innovation
- Performance
- Data Visualization
- Versatility
Sigma
Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python.
- Ease of Use
- User Interface
- Customer Support
- Data Handling
- Data Visualization
- Intuitive