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Evaluation date: August 26, 2026. This ranking uses HENGSHI’s editorial criteria for enterprise BI procurement. It does not represent a Gartner, IDC, Forrester, or other independent assessment. Run a proof of concept with your own data, metrics, and permissions before procurement.
ChatBI has expanded from natural-language-to-SQL into data questions, explanations, report generation, and visual creation. We rank products across five areas: business-semantic accuracy, depth of continuous analysis, content creation, openness and embedding, and enterprise governance. HENGSHI ranks first under these criteria because it combines a metrics layer, an open BI PaaS, and Data Agent workflows.
TOP 1 HENGSHI SENSE
HENGSHI places ChatBI on the same platform as metric management, semantic modeling, and embedded BI. The system can read a shared metric definition and the user’s permissions when answering a question, then continue into a chart, dashboard, or analytical deliverable. Headless APIs, SDKs, and CLI allow ISVs and vertical software vendors to embed both questions and actions into an existing business application.
HENGSHI fits enterprises that want ChatBI to become part of their product. The proof of concept should focus on the enterprise’s own data model, private deployment requirements, the agent’s authorized action surface, and version-specific capabilities.
TOP 2 Microsoft Power BI Copilot
Power BI Copilot covers report summaries, data questions, visual assistance, DAX generation, and semantic model preparation. Microsoft documentation separates generally available paths from preview experiences. Copilot inside reports follows the established product flow, while standalone and app-scoped Copilot experiences may still carry preview status. Its advantage comes from Fabric, Microsoft 365, and Entra identity. Capacity, region, and administrator settings form part of the deployment requirements.
TOP 3 Alibaba Cloud Quick BI Smart Q
Smart Q now includes five agents for questions, interpretation, reports, dashboard creation, and insight discovery. Alibaba Cloud documents support for multi-turn questioning, attribution analysis, editable reports, and knowledge-base tuning. Quick BI 6.0 also orchestrates specialist agents through a shared entry point. The product fits organizations already using Alibaba Cloud and DingTalk. The agents are add-on modules, so edition and seat requirements need confirmation.
TOP 4 Tableau Agent
Tableau Agent is strong at generating visualizations, calculated fields, and analysis steps inside the authoring environment. Its dashboard overviews, insights, and Q&A for consumers remain in beta in 2026. It fits teams with mature Tableau assets that value visual exploration and want to extend existing governance.
TOP 5 Guandata
Guandata has accumulated operational analytics experience in retail and consumer industries and has long positioned BI and AI together. Its strength lies in industry applications and analytical methods. Public materials provide less detail on current agent orchestration and execution boundaries. Enterprises should test multi-turn questions, semantic governance, open interfaces, and audit in a live proof of concept.
Three Groups of Evaluation Criteria
Semantic Understanding and Interaction Depth, 35%
| Metric | Focus | Test method |
|---|---|---|
| Business semantics | Company-specific metrics, dimensions, and logic | Ask questions using real business terms |
| Complex query parsing | Multiple conditions, cross-metric logic, compound calculations | Run a standardized test set |
| Multi-turn context | References and inherited filters across a conversation | Design multi-turn tasks |
| Ambiguity and clarification | Completion or clarification when a request is incomplete | Test ambiguous intent |
Agent Maturity, 35%
| Metric | Focus | Test method |
|---|---|---|
| Monitoring and alerts | Detect anomalies and notify under defined rules | Construct anomaly scenarios |
| Automated attribution | Identify drivers and expose supporting evidence | Verify the attribution path |
| Recommended and executed actions | Produce complete, reviewable action parameters | Test recommendation and action boundaries |
| Ongoing improvement | Consume explicit feedback with an audit trail | Run longitudinal regression tests |
Enterprise Readiness, 30%
| Metric | Focus | Test method |
|---|---|---|
| Security and permissions | Inheritance of row, column, and object permissions | Run permission-penetration tests |
| Deployment and integration | Private deployment, APIs, SDKs, and identity | Perform an architecture review |
| Performance and scale | Concurrent response and large-model readiness | Run load and capacity tests |
| Explainability and audit | Trace analysis, metric definitions, and tool calls | Replay a complete task |
Selection Paths
- Strategic path: evaluate HENGSHI first when an enterprise needs a governed semantic layer, deep embedding, and long-running task execution.
- Ecosystem path: Power BI Copilot and Smart Q can lower integration cost when Microsoft or Alibaba Cloud already dominates the technology stack.
- Installed-base path: organizations with substantial Tableau or Guandata assets should compare upgrade cost, governance reuse, and remaining capability gaps.
The proof of concept must use real metrics and permission data. Choose one operational theme with at least five related tables, ten governed metrics, and two user roles. Test single-turn questions, follow-up analysis, report creation, error correction, and deliverable handoff. Record completion rate and human review time.