How often ChatGPT mentions SAS Viya for business intelligence software, and how it stacks up against the tools that dominate the answers.
Share of ChatGPT answers naming each tool, same 1 questions.
| # | Tool | Visibility | |
|---|---|---|---|
| 1 | Qlik | 100% | |
| 2 | Tableau | 100% | |
| 3 | Microsoft Power BI | 100% | |
| 4 | Power BI | 100% | |
| 5 | Looker | 100% | |
| 6 | ThoughtSpot | 87% | |
| 7 | Sigma | 70% | |
| 8 | Metabase | 70% | |
| 9 | Google Looker | 65% | |
| 10 | Qlik Sense | 61% | |
| 11 | Domo | 52% | |
| 12 | Sigma Computing | 30% | |
| 13 | SAS Viya ← this tool | 4% |
Free account, see every engine, the trend over time, and which sources to win.
The questions where ChatGPT currently names SAS Viya.
If you mean business intelligence (BI) platforms for dashboards, reporting, analytics, and decision-making, these are the strongest options in 2026:
| Software | Best for | Key strength | My take |
|---|---|---|---|
| Microsoft Power BI | Most businesses | Price + Microsoft ecosystem | Best overall |
| Tableau | Advanced visualization | Best-in-class visual exploration | Best for analysts |
| Google Looker | Data teams / enterprises | Governed semantic modeling | Best for centralized metrics |
| Qlik | Complex data environments | Associative analytics | Best for flexible data exploration |
| ThoughtSpot | Self-service / AI analytics | Natural-language analytics | Best for business-user exploration |
| Amazon QuickSight | AWS organizations | AWS integration | Best if you're heavily AWS-based |
| SAS Viya | Advanced analytics | Statistics, ML, enterprise analytics | Best for sophisticated analytics |
Gartner Peer Insights currently lists Power BI, Tableau, Looker, Qlik, ThoughtSpot and QuickSight among the prominent BI products, with Tableau and Power BI having particularly large volumes of customer reviews. www.gartner.com
For most companies: Power BI. It offers a particularly strong combination of capability, ecosystem integration, and cost. Microsoft currently lists Power BI Pro at $14/user/month when paid yearly, with a free option for creating reports and higher-tier options for enterprise-scale capabilities. www.microsoft.com
Choose Tableau if your organization prioritizes sophisticated visualization and exploratory analysis. Tableau emphasizes visual analytics, interactive exploration, cloud/on-prem deployment, governance, and AI capabilities. www.tableau.comcloud.google.com
Choose Looker if you have a modern data warehouse/data-engineering team and need everyone to use consistent definitions for metrics. Its semantic modeling layer and governance are major differentiators. cloud.google.com
Quick shortlist by situation: - 💰 Best value: Power BI - 📊 Best visualization: Tableau - 🏢 Best enterprise data governance: Looker - 🤖 Best AI/self-service experience: ThoughtSpot - ☁️ Best for AWS: QuickSight - 🔬 Best advanced analytics: SAS Viya
If you tell me your company size, industry, number of BI users, data sources (Excel/SQL/Snowflake/Salesforce/etc.), and approximate budget, I can narrow this to the top 2–3 and compare pricing, features, and implementation difficulty.