A Semantic Layer for:

Trusted, Consistent Metrics

Cloud Cost Management & Performance

Business Context for Text-to-SQL Gen AI

The first and most complete universal semantic layer platform

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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

BI Tools

AI Agents / Chatbots

Applications

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.

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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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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.

AtScale Named 2024 Leader & Forward Mover in Semantic Layers

AWARD

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 -->