SSAS
SSAS serves as a robust analytical data engine that empowers enterprises with sophisticated semantic data models for effective business analytics. It seamlessly integrates with tools like Power BI and Excel, supporting both tabular and multidimensional models. Users can easily create, deploy, and manage models, ensuring secure data access and insightful reporting.
Top SSAS Alternatives
Microsoft SQL Server
SQL Server 2022 Express is a versatile, free edition tailored for desktop, web, and small server applications, enabling seamless development and production environments.
AWS for Data
Harnessing data effectively, AWS for Data transforms analytics and AI through Amazon SageMaker.
Google Cloud
This Business Intelligence software provides a robust suite of tools for cloud, API, and application management, featuring seamless access to Google APIs and a marketplace of turnkey solutions.
Magento BI
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TreeAge Pro
TreeAge Pro 2025 R1 empowers users to construct intricate decision models with intuitive visual tools, enhancing healthcare and business decision-making.
Oracle Business Intelligence (OBIEE)
Oracle Business Intelligence 12c empowers organizations to gain actionable insights through its dynamic visual analytics and self-service discovery capabilities.
Metric.ai
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Oracle Cloud Infrastructure (OCI)
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DataCycle Reporting
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IBM Business Analytics
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BIO
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i2 Analyst's Notebook
Users can download the software from Passport Advantage until December 31, 2021, or from Fix...
LinearB
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CRM Analytics
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FICO Xpress Optimization
By processing millions of variables rapidly, it empowers users to visualize trade-offs, conduct scenario analyses...
Top SSAS Features
- Tabular and multidimensional models
- Enterprise-grade semantic models
- Supports various data sources
- Integrated with Power BI
- Visual Studio project templates
- Efficient CI/CD pipeline support
- Data mining capabilities
- Role-based data access
- Real-time data processing
- Compatible with SQL Server
- Azure Analysis Services integration
- User-friendly wizards for creation
- Custom KPIs and calculations
- Extensive documentation available
- On-premises and virtual deployment
- Data source views management
- Multi-platform support
- Advanced analytics support
- Data model versioning capabilities
- High-performance analytical engine
