About AtScale
AtScale is a semantic layer platform. It sits between data platforms and the tools that consume their data, defining business metrics, joins, time logic and security once so that BI dashboards, analytics applications and AI agents all calculate numbers the same way.
The platform covers semantic modeling, a semantic query engine and management of cloud compute cost and performance. It integrates with cloud data platforms including Snowflake, Databricks, Google BigQuery, Amazon Redshift, Microsoft Azure, Cloudera and PostgreSQL, and with analytics tools such as Power BI, Excel, Tableau, Looker, Superset, ThoughtSpot, Qlik and Hex, as well as notebooks and data catalogs.
AtScale is proprietary commercial software, sold through demos with a pricing page on the vendor site. The vendor positions it as context for AI and as a way to keep analytics consistent when an organization uses several BI tools.
Key features
- Governed semantic modeling
- Semantic query engine
- Cloud compute cost and performance management
- Connectors for major cloud data platforms
- Works with Power BI, Tableau, Excel and Looker
- Context layer for AI agents
Good fit for
- →One set of metrics across several BI tools
- →Supplying governed business logic to AI agents
- →Controlling query cost on cloud warehouses
- Tags
- semantic-layer
- business-intelligence
- metrics
- data-governance
- analytics
- snowflake
- databricks
- ai-context
AtScale: questions and answers
- What is AtScale used for?
- AtScale is a semantic layer platform that gives BI tools, AI agents and applications one governed set of business metrics across cloud data warehouses and lakehouses. It is a good fit for one set of metrics across several BI tools, supplying governed business logic to AI agents and controlling query cost on cloud warehouses.
- How much does AtScale cost?
- AtScale doesn't publish fixed prices; pricing is quoted on request.
- Is AtScale open source?
- No. AtScale is proprietary (closed-source) software. Open-source alternatives to AtScale include Cube, Saiku and MetricFlow.
- What are some alternatives to AtScale?
- AtScale competes with Looker, GoodData and Denodo. For open-source options, see Enlisted's ranked list of open-source AtScale alternatives.
Open-source alternatives to AtScale
See all
Cube
BI & Dashboards
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
OSSvs Looker★ 21k
Saiku
BI & Dashboards
Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP)
Apache-2.0vs Tableau★ 1.3k
MetricFlow
Data Pipelines & ETL
MetricFlow allows you to define, build, and maintain metrics in code.
Apache-2.0vs Looker★ 1.8k
Superset
BI & Dashboards
Apache Superset is a Data Visualization and Data Exploration Platform
Apache-2.0vs Tableau★ 75k
Metabase
BI & Dashboards
The easy-to-use open source Business Intelligence and Embedded Analytics tool that lets ev
OSSvs Tableau★ 50k
Redash
BI & Dashboards
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and
BSD-2-Clausevs Data Studio★ 29k
SaaS alternatives to AtScale
See all
Looker
BI & Dashboards
Google Cloud business intelligence platform with a governed semantic modeling layer
SaaS
GoodData
BI & Dashboards
Analytics platform for embedded dashboards and headless BI
SaaSDenodo
Data Pipelines & ETL
Data virtualization and logical data management platform
SaaS
Starburst
Databases
Data lakehouse analytics platform built on the Trino query engine
SaaS
Strategy (MicroStrategy)
BI & Dashboards
Enterprise analytics and BI platform, MicroStrategy rebranded as Strategy
SaaS
Oracle Analytics
BI & Dashboards
Cloud analytics platform from Oracle with dashboards, data prep and machine learning
SaaS

