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AtScale

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Ease of management
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Pricing from
$2,500 per month
Free Trial unavailable
Free version
User corporate size
Small
Medium
Large
User industry
  1. Manufacturing
  2. Energy and utilities
  3. Banking and insurance

What is AtScale

AtScale is a semantic layer and analytics acceleration platform designed to provide governed, reusable business metrics on top of cloud data warehouses and data lakes. It exposes a consistent dimensional model to BI tools via standard query interfaces so analysts can query large datasets without hand-coding complex SQL for each report. Typical use cases include metric standardization, self-service analytics enablement, and performance optimization for interactive BI on large-scale data platforms.

pros

Governed metrics and models

AtScale centralizes business definitions (measures, dimensions, hierarchies) into a semantic model that multiple BI tools can reuse. This helps reduce metric drift caused by duplicated logic across dashboards and teams. It supports role-based access patterns and model-level governance to align analytics with enterprise policies.

BI tool interoperability

The platform is built to sit between BI tools and modern data platforms, providing a consistent layer for querying and modeling. This can simplify multi-tool environments where different teams use different BI front ends. Standard connectivity patterns reduce the need to rebuild logic separately for each reporting tool.

Query performance optimization

AtScale includes capabilities aimed at improving interactive query performance on large datasets, such as aggregate-aware query planning and acceleration techniques. This can reduce the need to create and maintain many hand-built summary tables for BI workloads. It is often used when direct BI queries against large cloud warehouses or lakes become slow or expensive.

cons

Not a full ETL suite

AtScale focuses on semantic modeling and query acceleration rather than end-to-end data ingestion, transformation, and orchestration. Organizations typically still need separate tools for pipeline development, data quality, and batch/stream processing. This can increase overall architecture complexity when teams expect a single integration platform.

Modeling requires expertise

Building and maintaining a high-quality semantic model requires data modeling skills and ongoing governance processes. Poorly designed models can lead to confusing user experiences or suboptimal query plans. Adoption often depends on having clear ownership for metrics and dimensional structures.

Platform fit varies by stack

Value depends on the organization’s BI tools, data platforms, and performance constraints; some stacks already provide native semantic or performance features. In environments with a single tightly integrated BI-and-warehouse ecosystem, the incremental benefit may be smaller. Buyers typically need a proof-of-concept to validate performance, compatibility, and operational overhead in their specific environment.

Plan & Pricing

Plan Price Key features & notes
Developer Free — 500 queries / month Download for free; connectivity to 1 query dialect (MDX, DAX, or SQL); Community support; Visual & code-based modelers; Any data platform connector. (From AtScale pricing page)
Growth $10 / deployed semantic object / month — Starting at $2,500 / month Consumption-based billing (Deployed Semantic Objects - DSOs); Unlimited users, queries & data sizes; 1 production environment; connectivity to 1 query dialect; Growth support plan; 1 data platform connector; security policy support (row/column masking); supports remote install. (From AtScale pricing page)
Standard $28 / deployed semantic object / month — Starting at $7,000 / month Everything in Growth, plus: Standard support plan; Tableau Server/Cloud and PowerBI.com integration; Single Sign-On; 1 pre-production environment; connectivity to 2 query dialects. (From AtScale pricing page)
Enterprise Custom pricing (contact sales) Self-service analytics for complex enterprise environments; Unlimited users & queries; 1 production and 2 pre-production environments; connectivity to 3 query dialects; Enterprise support plan; LookML integration; Python library; additional connectors and enterprise add-ons. (From AtScale pricing page)

Seller details

AtScale, Inc.
Campbell, California, USA
2013
Private
https://www.atscale.com/
https://x.com/AtScale
https://www.linkedin.com/company/atscale/

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