About This Constellation ShortList™

Multicloud BI platforms deliver real-time, AI-driven insights across diverse data sources, enabling organizations to avoid vendor lock-in, bring analytic workloads to the appropriate centers of data gravity, and ensure consistent cross-cloud semantics and security. These capabilities reduce friction, latency, and costs associated with the reality of multi-cloud data access and movement, driving agile, data- driven decisions in complex, multi-cloud environments.

This ShortList recognizes vendors that provide containerized, policy- aware analytics across at least two major public clouds, with support for auto-scaling, data modeling, and real-time data integration. These platforms enable multimodal analysis, ranging from dashboards and reports to emerging capabilities such as natural language queries, composable APIs, and GenAI-powered prompts, supporting collaboration and insight delivery at scale.

Example use cases include delivering customer churn risk predictions via a prompt API embedded in a CRM app, triggering supply chain alerts based on real-time IoT sensor data across AWS and Azure, or enabling business users to ask natural language questions across governed, multi-cloud data sources.

New criteria in 2025 prioritize automation and data democratization, with a sharper focus on multimodal and GenAI analysis, as well as semantic layers, rather than just deployment flexibility.

Threshold Criteria

Constellation considers the following criteria for cloud-based business intelligence:

  • Multicloud SaaS or Managed Service Availability across at least two public clouds 
  • Containerized deployment (e.g., Kubernetes-based) with auto-scaling and policy enforcement 
  • Robust data integration, self-service data prep, and AI-driven automation for real-time data processing. 
  • Multimodal analysis: dashboards, NLQ (natural language query), embedded experiences (APIs, SDKs, composable), and prompt-based insights 
  • AI/ML Integration: predictive modeling, prompt orchestration, and ability to ground GenAI in proprietary data 
  • Collaborative Workspaces with versioning, annotation, role-based sharing, and alerting 
  • Semantic Layer/Data Modeling across data sources

 

The Constellation ShortList™

Constellation evaluates more than 25 solutions categorized in this market. The Constellation ShortListis determined by client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research.

  • DOMO
  • GOOGLE LOOKER
  • IBM WATSONX BI
  • MICROSTRATEGY
  • SAP ANALYTICS CLOUD
  • SAS VISUAL ANALYTICS
  • THOUGHTSPOT

 

Frequency of Evaluation

Each Constellation ShortList is updated at least once per year. Updates may occur after six months if deemed necessary.

Evaluation Services

Constellation clients can work with the analyst and the research team to conduct a more thorough discussion of this ShortList. Constellation can also provide guidance in vendor selection and contract negotiation.

 

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