AtScale
- Company typePrivate
- Founded2013
- HeadquartersSan Mateo, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
AtScale firmographics
Firmographics- Name
- AtScale
- Legal name
- AtScale, Inc.
- Website
- https://atscale.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
AtScale industry classification
Industry- Product category
- Semantic Layer Platform (Data & Analytics Software)
- NAICS
- Software Publishers (5132)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ)
Keywords
Where AtScale is headquartered
LocationHeadquarters
- HQ city
- San Mateo
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
AtScale business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Consumption-Based Subscription: Transparent consumption-based pricing — customers pay only for compute and queries executed, with no user-based licensing, making it well-suited for unpredictable AI/agentic volume. Available as Kubernetes-based deployment in public clouds, private clouds, or hybrid environments.
- Cloud Marketplace Listings: Native listings on Snowflake Marketplace (AtScale for Snowflake / AtScale Enterprise) and GCP Marketplace that enable in-cloud procurement and consumption-based billing.
- Professional Services & Support: Services and Support offerings for enterprise deployments, plus training and documentation programs referenced on the website (services-support page).
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | Consumption-based — pay only for compute and queries, no user-based licensing |
| Freemium | Pay-as-you-go | Free Developer Community Edition |
| Other | Pay-as-you-go | Free Trial |
| Usage-based | Pay-as-you-go | AtScale for Snowflake (Marketplace) |
Go-to-market motion4 records
Distribution channels7 records
Marketing channels9 records
AtScale product offering
Product offeringCore offering
AtScale sells a Universal Semantic Layer platform that sits between cloud data warehouses/lakehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, Cloudera, InterSystems, PostgreSQL) and downstream BI and AI consumers. It defines business metrics, hierarchies, and logic once and exposes them consistently via SQL, MDX, DAX, Python, REST, and MCP to Power BI, Excel, Tableau, Looker, and AI/LLM agents. Pricing is consumption-based (pay only for compute and queries, with no user-based licensing), and the product is available directly, via the Snowflake and GCP Marketplaces, and as a free Developer Community Edition.
Product overview
AtScale offers a single unified Universal Semantic Layer platform, delivered as a Kubernetes-based cloud-native or hybrid-deployable solution, with a set of tightly integrated modules and ecosystem integrations. The core platform combines the Semantic Query Engine, Metric Store, and Governance & Metadata Management to define business metrics, hierarchies, and logic once and expose them consistently to BI tools, LLMs, and autonomous agents via SQL, MDX, DAX, Python, REST, and MCP. The Semantic Modeling Platform (SML) module provides open-source, YAML-based modeling with drag-and-drop and One-Click AI-assisted modeling. The Semantic Context for AI module (AtScale MCP Server) extends the platform to AI agents. AtScale for Snowflake and the new Snowflake Semantic Views XMLA Endpoint deliver native integration with Snowflake, while AI-Link bridges semantic models to data science notebooks. Pricing is consumption-based with no user licensing.
Differentiator
Problem solved
Functional benefit
Brands
- AtScale Semantic Layer: The company's flagship Universal Semantic Layer platform product offering, branded under the AtScale corporate name.
- AtScale MCP Server
Products and services
- Universal Semantic Layer AtScale's flagship platform product that defines business metrics, hierarchies, and logic once and exposes them consistently to BI tools, analytical applications, LLMs, and autonomous agents via SQL, MDX, DAX, Python, REST, and MCP. Targets enterprise data engineering, analytics, and AI/ML teams running cloud data warehouses and lakehouses.
- AtScale MCP Server (Semantic Context for AI) Model Context Protocol (MCP) server implementation that exposes AtScale's governed semantic models — certified metrics, dimensions, hierarchies, relationships, and access policies — to AI agents and LLMs. Eliminates the semantic gap and supports retrieval-augmented generation, semantic retrieval, and natural-language querying for AI agents and enterprise GenAI applications.
- Snowflake Semantic Views XMLA Endpoint Powered by AtScale, this Snowflake Summit 2026 announcement brings Snowflake Semantic Views metrics to Power BI and Excel through a live XMLA endpoint, eliminating extracts, duplicated logic, and the need to move data between platforms. For enterprise Snowflake customers who use Microsoft Power BI and Excel as their primary BI surfaces.
- AtScale for Snowflake (Marketplace Native App) AtScale's native marketplace offering for Snowflake customers, providing the Universal Semantic Layer deployed directly on the Snowflake Data Cloud with native DAX (1,600+ functions) and native MDX support, plus autonomous aggregate generation inside Snowflake. Available on the Snowflake Marketplace for in-cloud procurement.
- Developer Community Edition Full-featured free version of AtScale for developers, data engineers, and semantic-modeling practitioners to experiment, build semantic models, and learn the platform before enterprise engagement. Distributed via atscale.com/community as part of AtScale's developer-led adoption funnel.
- Professional Services and Support Implementation, training, and support services for enterprise AtScale deployments, including documentation and certification programs. Sold alongside enterprise subscriptions.
Quantifiable outcome
- 21,000x efficiency gain — $17.93 vs $0.0008 for the same five queries (Tier 1 bank benchmark)
- +4 more outcomes
Companies that use AtScale
Customer profileNamed customers22 records
Segments7 records
Ideal customer profiles4 records
AtScale technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration34 records
AI capability9 records
Feature9 records
AtScale partnerships and signals
Strategic signalPartnerships
25 partnerships are on record, tiered flagship / premier tier partner, strategic / premier partner, core technology integration, standard integration, flagship bi integration, premium bi integration, standard bi integration, standard data catalog integration, standard data science / llm integration, standard data science integration, standard notebook integration, adjacent ecosystem speaker / partner, industry-standards co-development and research / gtm collaboration.
- Snowflakeflagship / premier tier partnerAtScale is Snowflake's 'strategic semantic partner' and a Snowflake Premier Tier Partner with Snowflake Ready Technology Validation. Delivered the Snowflake XMLA Endpoint for Semantic Views (powered by AtScale) announced at Snowflake Summit 2026, bringing governed Snowflake metrics to Power BI and Excel via a live XMLA endpoint. AtScale for Snowflake runs natively on Snowflake Data Cloud with native DAX (1,600+ functions) and native MDX.
- Databricksstrategic / premier partnerDeep Databricks Lakehouse integration: AtScale builds a semantic layer for BI/analytics on Databricks, supports Databricks AI/BI Genie, and is listed on the Databricks MCP Marketplace. AI-Link bridges AtScale semantic models to AI/ML models in Databricks. Quoted Databricks EMEA CTO Dael Williamson and Data/AI Strategist Joshua Green endorse the partnership.
- Google BigQuerycore technology integrationAtScale integrates natively with Google BigQuery and is available on GCP Marketplace. Supports BigQuery Dataframes and Google Notebooks.
- Amazon Redshiftcore technology integrationAtScale provides native connectivity to Amazon Redshift; described as 'live cloud connectivity' alongside Snowflake, Databricks, and BigQuery.
- Microsoft Azure Synapsecore technology integrationNative integration with Microsoft Azure / Synapse; deep Power BI and Excel integration via DAX/MDX; Snowflake Semantic Views XMLA Endpoint targets Microsoft BI workloads.
- Clouderastandard integrationListed as a Cloud Platform Integration partner on AtScale's integrations page.
- InterSystemsstandard integrationListed as a Cloud Platform Integration partner on AtScale's integrations page.
- PostgreSQLstandard integrationListed as a Cloud Platform Integration partner on AtScale's integrations page.
- Microsoft Power BIflagship bi integrationPremium-tier BI integration: native DAX support for 1,600+ functions; Snowflake Semantic Views XMLA Endpoint brings governed Snowflake metrics to Power BI via a live endpoint; certified Power BI integration.
- Microsoft Excelflagship bi integrationNative MDX support for Excel PivotTables and CUBE formulas; Snowflake Semantic Views XMLA Endpoint brings governed metrics to Excel via a live endpoint.
- Tableaupremium bi integrationNative Tableau connectivity for live, governed semantic queries on cloud data warehouses.
- Lookerpremium bi integrationNative integration with Google Looker including ability to ingest LookML definitions to avoid metric sprawl.
- Qlikstandard bi integrationCompatible BI integration; AtScale delivers consistent governed metrics to Qlik via its semantic layer.
- ThoughtSpotstandard bi integrationCompatible BI integration listed on AtScale integrations page.
- Alationstandard data catalog integrationData Catalog Tools integration — open integration with Alation for metadata discoverability across the AtScale semantic layer.
- Collibrastandard data catalog integrationData Catalog Tools integration — open integration with Collibra for metadata discoverability.
- Atlanstandard data catalog integrationData Catalog Tools integration listed on AtScale integrations page.
- DataRobotstandard data science / llm integrationListed as a Data Science and LLM integration partner; AtScale's new President Jay Schuren was formerly CRO at DataRobot.
- Dataikustandard data science integrationData Science and LLM integration listed on AtScale integrations page.
- Jupyter Notebooksstandard notebook integrationNotebook integration enabling data scientists to consume semantic model data via AI-Link.
- Amazon SageMakerstandard notebook integrationNotebook integration enabling AI/ML workloads on AtScale semantic data via AI-Link.
- Anthropicadjacent ecosystem speaker / partnerAnthropic participated as an industry speaker at the fifth annual Semantic Layer Summit 2026 in Boston, sharing production use cases alongside Snowflake, Databricks, ServiceNow, and AtScale.
- ServiceNowadjacent ecosystem speaker / partnerServiceNow participated as an industry speaker at the Semantic Layer Summit 2026 in Boston, discussing semantic infrastructure in enterprise AI deployments.
- OSI (Open Semantic Interchange)industry-standards co-developmentOSI launched by Snowflake, Salesforce, and dbt Labs for vendor-neutral metric portability. AtScale benefits from this industry initiative to enable portable semantic definitions across vendor stacks.
- TDWIresearch / gtm collaborationJoint research with TDWI on AI governance maturity and semantic-layer requirements; findings cited in TheNextWeb article on AI analytics guardrails.
Scale indicators10 records
Recent moves6 records
Expansion highlights7 records
AtScale competitors and assessment
Company assessmentDirect peers
- dbt Labs: dbt Labs is the most direct competitor in the semantic-layer category, offering the dbt Semantic Layer for defining metrics once and serving them to BI tools and AI applications. Co-founder of the OSI (Open Semantic Interchange) initiative alongside AtScale, Snowflake, and Salesforce, making it the closest product and ecosystem peer.
- Cube.dev: Cube.dev provides a semantic layer / headless BI API for defining metrics and serving them to downstream applications and AI agents. Competes with AtScale on the universal semantic-layer thesis, particularly for product-led, developer-centric data teams building embedded analytics and AI applications.
Broad incumbents
- Looker (Google Cloud): Google Cloud's Looker pioneered semantic modeling via LookML and is integrated as a BI consumer of AtScale's semantic layer. Represents the broad-incumbent approach where semantic modeling lives inside the BI platform itself, and a key competitor / partner depending on customer BI preference.
- Microsoft Power BI: Power BI is the dominant enterprise BI tool and includes native semantic modeling via Tabular models and DAX (1,600+ functions). AtScale deep-integrates with Power BI (native DAX and the new Snowflake Semantic Views XMLA Endpoint) but Power BI's own semantic model is a substitute for some AtScale use cases within Microsoft-centric enterprises.
- Tableau (Salesforce): Tableau is a premium BI platform with its own semantic modeling capabilities and is both a deep integration partner of AtScale (live governed metrics over cloud warehouses) and a competitor for the semantic-modeling layer in Salesforce-centric enterprises.
- Databricks: Databricks is both a deep technology partner of AtScale (Lakehouse integration, AI-Link, MCP Marketplace) and a potential competitor through Unity Catalog and AI/BI Genie. As the second-largest cloud data platform, Databricks' evolving native semantic features represent both the largest opportunity and the largest competitive threat to AtScale's universal semantic-layer thesis.
Emerging players
- ThoughtSpot: ThoughtSpot is an AI-driven analytics platform listed as a Premium BI integration partner of AtScale. Overlaps with AtScale where customers use ThoughtSpot's natural-language analytics over cloud warehouses, but ThoughtSpot's approach (search/AI-first) is more emergent in the semantic-layer category versus AtScale's model-first stance.
- Monte Carlo: Monte Carlo is a data observability platform that increasingly intersects with the semantic-layer category through data quality, lineage, and metric reliability — areas AtScale addresses via its Governance & Metadata Management module and Metric Store. Represents an adjacent emerging player in the trusted-data-for-AI theme.
Others
- Alation: Alation is the leading data catalog and a direct integration partner of AtScale for metadata publishing and governance. Not a semantic-layer competitor, but an adjacent data-intelligence platform that overlaps with AtScale's governance and metadata management capabilities in enterprise buying decisions.
- Collibra: Collibra is an enterprise data catalog and governance platform that integrates with AtScale for metadata discoverability. Adjacent peer that overlaps with AtScale's governance module in enterprise data-office buying cycles; competes for governance budget rather than semantic-layer functionality directly.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks5 records
Key highlights7 records
Customer concentration
AtScale social profiles
Digital presenceAtScale compliance and trust
Trust signalCompliance3 records
AtScale financial estimates
Financial estimateRevenue estimate
Valuation estimate
AtScale leadership team
Management profileNumber of profiles
Profiles18 records
AtScale subsidiaries and ownership
Company hierarchySubsidiaries1 record
AtScale funding detail
Funding detailFunding overview
Funding rounds6 records
Investors13 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AtScale M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about AtScale
What does AtScale do?
AtScale sells a Universal Semantic Layer platform that sits between cloud data warehouses/lakehouses (Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, Cloudera, InterSystems, PostgreSQL) and downstream BI and AI consumers. It defines business metrics, hierarchies, and logic once and exposes them consistently via SQL, MDX, DAX, Python, REST, and MCP to Power BI, Excel, Tableau, Looker, and AI/LLM agents. Pricing is consumption-based (pay only for compute and queries, with no user-based licensing), and the product is available directly, via the Snowflake and GCP Marketplaces, and as a free Developer Community Edition.
Is AtScale a public or private company?
AtScale is a private company. It is classified as venture growth investor backed and is currently operating.
When was AtScale founded?
AtScale was founded in 2013. It employs 101 to 250 people.
Where is AtScale based?
AtScale is headquartered in San Mateo, United States, in the North America region.
How does AtScale make money?
Three revenue lines are on record. Consumption-Based Subscription is the primary driver. The others are cloud Marketplace Listings and professional Services & Support.
Who are AtScale's main competitors?
Direct peers on record are dbt Labs and Cube.dev. Broad incumbents are Looker (Google Cloud), Microsoft Power BI, Tableau (Salesforce) and Databricks. Emerging players are ThoughtSpot and Monte Carlo. Others are Alation and Collibra.
Does AtScale have an API?
Yes. AtScale exposes its semantic layer through multiple query and integration protocols including SQL, MDX, DAX (with support for 1,600+ Power BI functions), Python, and REST. The platform also exposes a public Model Context Protocol (MCP) Server that allows AI agents and LLMs to access governed semantic models, metrics, dimensions, and policies. AtScale provides a Container API and an AI-Link Python interface for data science integration with Databricks, Snowflake, BigQuery, and Amazon Sagemaker notebooks. Documentation covers authentication, deployment, and semantic model management. Developer documentation is at documentation.atscale.com/container-api/category/container-api.
What industry is AtScale in?
AtScale's product category is Semantic Layer Platform (Data & Analytics Software). Its primary akta.pro industry code is HDAEABAJ, Metadata, Catalog & Semantic Layer for Data Platforms. Its NAICS code is 5132 and its SIC code is 7370.