Strategy Mosaic

Strategy Mosaic is an AI-powered universal intelligence layer, generally available as of June 24, 2025, that sits atop any database or data warehouse to connect, govern, and deliver consistent data across any cloud, reporting tool, or AI application.

Reviewed by 7wData

On this page

Publisher review

Strategy Mosaic is an AI-powered universal intelligence layer, generally available as of June 24, 2025, that sits atop any database or data warehouse to connect, govern, and deliver consistent data across any cloud, reporting tool, or AI application. It is designed for enterprises—particularly those with complex, multi-cloud data landscapes—that need a single source of truth for analytics and AI without costly data movement. Unlike traditional data catalogs or virtual warehouses, Mosaic uses business definitions and user-friendly objects to represent data, targeting CEOs and data leaders who must break down silos and conflicting metrics to accelerate AI adoption and long-term strategic planning.

Mosaic delivers a rich semantic layer built on Strategy's proven architecture, supporting hierarchies, multi-form attributes, and transformations while centralizing security and governance policies. Its AI-powered Mosaic Studio automates data preparation and modeling tasks up to 10 times faster, allowing users to create metrics via natural language prompts. The query acceleration engine uses in-memory processing with push-down capabilities to reduce data warehouse load and query costs. Universal access is provided via standard SQL (JDBC), DAX, REST, and Python APIs, with optimized connectors for Tableau, Power BI, Excel, and Google Sheets, connecting to over 200 data sources including files, applications, and databases.

Strategy Mosaic competes directly with Cube Software, an open-source semantic layer that also provides a unified API for analytics. While Cube emphasizes developer flexibility and self-service, Mosaic differentiates through its AI-assisted modeling, enterprise-grade governance (object-level access control, security filters, flexible authentication), and deep integration with the broader Strategy (formerly MicroStrategy) ecosystem. Mosaic's cloud-native, containerized microservices architecture allows seamless migration between hyperscalers (AWS, Azure, Google Cloud) without risking existing data definitions, a flexibility that Cube's multi-cloud support also offers but with different architectural trade-offs.

Honest trade-offs include a learning curve for teams not already familiar with Strategy's semantic layer concepts, as Mosaic extends rather than replaces that paradigm. The AI-powered modeling, while fast, may require manual tuning for complex, domain-specific business rules. Mosaic's enterprise focus means it may be overkill for small teams or simple analytics needs, and its pricing (not publicly disclosed) likely reflects its enterprise-grade scope. Additionally, some Canadian businesses have noted that other software options are more suited to their regional requirements, and project managers have reported difficulty scheduling when deadlines for interdependent projects are opaque within the system.

Get the AI & data signal, daily.

335k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. Rich Semantic Layer

    Ensures consistent business definitions and metrics across data sources with hierarchies, multi-form attributes, and transformations, centralizing security and governance.

  2. Universal Access

    Connects to over 200 data sources via SQL (JDBC), DAX, REST, and Python APIs, with optimized connectors for Tableau, Power BI, Excel, and Google Sheets.

  3. AI-Powered Data Modeling

    Mosaic Studio automates data preparation and modeling up to 10x faster, auto-creating objects, detecting duplicates, and enabling natural-language metric creation.

  4. Query Acceleration Engine

    In-memory engine with push-down processing and cross-data source calculations reduces data warehouse load and query costs.

  5. Enterprise-Grade Security & Governance

    Provides security filters, object-level access control, granular user privileges, and flexible authentication, protecting sensitive data from exposure to LLMs.

  6. Modular Agility

    Cloud-native containerized microservices architecture allows seamless migration between hyperscalers without risking existing data definitions or structure.

  7. Cloud Flexibility

    Supports any cloud (AWS, Azure, Google Cloud) and enables workload shifts between databases without hidden migration fees.

Strengths and trade-offs

Strengths

  • Customer service and support teams are consistently praised as the best aspect of Mosaic, with honest and rapid response from assigned account representatives.
  • Integration with existing company processes is reported as easy and smooth, reducing deployment friction for enterprise teams.
  • Real-time visibility into model usage, anomalies, and audit trails provides actionable insights for data governance and operational monitoring.
  • AI-powered Mosaic Studio reduces data modeling time by up to 10x, enabling rapid creation of semantic models from raw data sources.

Trade-offs

  • Project managers find it difficult to schedule projects when deadlines for interdependent projects are not visible within the system.
  • Some Canadian businesses report that other software options are more suited to their regional regulatory and operational requirements.
  • The AI-powered modeling may require manual tuning for complex, domain-specific business rules that the automation does not fully capture.
  • Pricing is not publicly disclosed, making it difficult for small-to-mid-size organizations to evaluate cost without a sales engagement.

Pricing context

Not specified in the provided sources; likely enterprise-tier, available upon request from Strategy.

Getting started with Strategy Mosaic

  1. Sign up for Strategy Mosaic

    Contact Strategy sales to request access to Mosaic. Provide your enterprise details and data landscape requirements. Once approved, you will receive credentials and a link to the cloud-hosted Mosaic instance.

  2. Connect your data sources

    In Mosaic Studio, add connections to your databases or data warehouses using JDBC, REST, or Python APIs. Select from over 200 supported sources, including files, applications, and cloud databases. Configure authentication and test the connection.

  3. Define business metrics with AI

    Use natural language prompts in Mosaic Studio to create metrics and objects. The AI automates data preparation and modeling, detecting duplicates and suggesting hierarchies. Review and manually tune complex domain-specific rules as needed.

  4. Connect to your BI tool

    Set up an optimized connector for Tableau, Power BI, Excel, or Google Sheets using the provided SQL (JDBC), DAX, or REST endpoints. Point your reporting tool to the Mosaic semantic layer to access consistent, governed data.

  5. Set security and governance policies

    Configure object-level access control, security filters, and user privileges in Mosaic. Define granular permissions to protect sensitive data from LLM exposure. Enable audit trails to monitor model usage and anomalies in real time.

Frequently Asked Questions

What is Strategy Mosaic and how does it work?

Strategy Mosaic is an AI-powered universal intelligence layer that sits on top of any database or data warehouse. It connects, governs, and delivers consistent data across clouds, reporting tools, and AI applications without costly data movement.

How does Strategy Mosaic compare to Cube Software?

Strategy Mosaic competes with Cube Software but differentiates through AI-assisted modeling, enterprise-grade governance like object-level access control, and deep integration with the Strategy ecosystem. Cube emphasizes developer flexibility and self-service, while Mosaic targets enterprise data leaders.

What are the key features of Strategy Mosaic?

Key features include a rich semantic layer with hierarchies and transformations, universal access to over 200 data sources, AI-powered Mosaic Studio for automated modeling up to 10x faster, a query acceleration engine, enterprise security, and cloud-native modular agility.

What are the weaknesses or trade-offs of Strategy Mosaic?

Weaknesses include a learning curve for teams unfamiliar with Strategy's semantic layer, manual tuning needed for complex business rules, potential overkill for small teams, undisclosed pricing, and some Canadian businesses finding other options more suited to their needs.

What is Strategy Mosaic pricing and is it publicly available?

Strategy Mosaic pricing is not publicly disclosed and is likely enterprise-tier, available upon request from Strategy. This makes it difficult for small-to-mid-size organizations to evaluate cost without a sales engagement, as noted in the source text.

How does Strategy Mosaic handle multi-cloud data integration?

Strategy Mosaic supports any cloud including AWS, Azure, and Google Cloud. Its cloud-native containerized microservices architecture allows seamless migration between hyperscalers without risking existing data definitions or incurring hidden migration fees.

Alternatives

How Strategy Mosaic compares

Direct head-to-head against 3 competitors. Picked by 7wData.

This tool

Strategy Mosaic

Pricing
Not specified in the provided sources; likely enterprise-tier, available upon request from Strategy.
Target
Strategy Mosaic is an AI-powered universal intelligence layer, generally available as of June 24, 2025, that sits atop any database or data warehouse to connect,
Strength
Customer service and support teams are consistently praised as the best aspect of Mosaic, with honest and rapid response from assigned account representatives.
Watch for
Project managers find it difficult to schedule projects when deadlines for interdependent projects are not visible within the system.

AtScale

Pricing
Custom quote based on compute consumption and user tiers.
Target
Enterprises needing OLAP/MDX support for legacy BI tools.
Deployment
Cloud, on-premise, hybrid.
Strength
Native MDX/OLAP engine for Excel and legacy BI integration.
Watch for
Pricing can escalate with query volume; complex initial setup.

Cube.dev

Pricing
Free tier; Team $150/month; Enterprise custom.
Target
Developers building headless analytics into applications.
Deployment
Cloud, self-hosted, Kubernetes.
Strength
API-first headless design with pre-aggregation caching.
Watch for
Requires developer expertise; no built-in governance for non-technical users.

dbt Labs

Pricing
dbt Cloud: Team $100/user/month; Enterprise custom.
Target
Data engineers focused on transformation and metric definition.
Deployment
Cloud (dbt Cloud), self-hosted (dbt Core).
Strength
SQL-first transformation with MetricFlow for metric definitions.
Watch for
Limited semantic layer governance; no built-in caching or federation.

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. www.reddit.com
  2. www.strategy.com
  3. www.strategysoftware.com
  4. www.businesswire.com
  5. www.strategy.com
  6. www.softwareadvice.com
  7. www.cubesoftware.com