A Semantic Layer for:
Cloud Cost Management & Performance
Business Context for GenAI
Trusted, Consistent Metrics
Cloud Cost Management & Performance
Business Context for GenAI
The first and most complete universal semantic layer platform





















































Connect any data source to any AI/BI tool without moving your data
What is a semantic layer? A semantic layer is a business representation of corporate data that helps end users access data autonomously using common business terms. A semantic layer maps complex data into familiar business terms such as product, customer, or revenue to offer a unified, consolidated view of data across an organization.
Redshift
Databricks
Google Big Query
Data Warehouse/ Lakehouse
Snowflake
Azure Synapse
Cloudera
Semantic Layer
Data Democratization & Governance
Cloud Cost Management & Performance
Enabling Gen AI with Business Context
Gen AI / LLM
BI Tools
AI Agents / Chatbots
Applications
Applications
BI Tools
AI Agents / Chatbots
Applications
BI Tools
Modern Analytics for Every Role and Data Stack
Business Intelligence
Empower a business analyst to create universal semantic models that work across BI tools, applications, and machine learning.
Generative AI
Eliminate the need for data wrangling while driving consistency and accuracy for building machine learning models and text-to-SQL applications.
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Analytical Applications
Deliver analytics-powered applications effortlessly with consistent metrics and ultra-fast queries.
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Data Modeling
Foster collaboration across data engineers and business analysts with a unified code and no-code experience.
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See AtScale In Action
The Universal Semantic Layer for Enterprises
Independent, flexible, and scalable: Empower teams with secure, live data access, robust data modeling, and unmatched compatibility across tools and protocols.
Independent and Tool-Agnostic
Serves as an independent layer not tied to a single consumption style or analytics tool.
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Live Data Access Without Movement
Supports direct access to live data without data movement or preprocessing
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Support Multiple Modeling Personas
Fosters collaboration between business analysts and data engineers with code or no-code solutions.
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Multi-Dimensional Business Logic
Supports multi-dimensional (OLAP) expressions for encoding complex business concepts and functions.
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Speed-of-Thought Query Performance
Delivers “speed of thought” queries using automated query performance tuning and caching.
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Supports Text-to-SQL Natural Language Query
Integrates with LLMs to deliver business context for GenAI
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Unify Your Data Ecosystem
Multi-protocol deep integrations that support SQL, MDX, DAX, Python, and REST protocols, integrating seamlessly with various BI tools or visualization platforms. Learn More -->