# AtScale Reviews
**Vendor:** AtScale  
**Category:** [Semantic Layer Tools](https://www.g2.com/categories/semantic-layer-tools)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 4
## About AtScale
AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company’s semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. Features: -Design Canvas: AtScale’s Design Canvas visually and intuitively connects to any data -Autonomous Data Engineering—Just-in-time query optimization that anticipates the needs of the data consumer. -Universal Semantic Layer—A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth. -Security &amp; Data Governance —Centralized security policy to decentralize access using the tenants of Zero Trust. -Virtual Cube Catalog—A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse. Benefits: -No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse. -Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours. -Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice. -No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used. -Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service. -Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users. -Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering. -Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.




## AtScale Reviews
  ### 1. Best tool to get advanced analytics on big data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ajeet M. | Software Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** February 12, 2023

**What do you like best about AtScale?**

With AtScale's simple tool integration, our company is able to execute big data analytics using the programmes they are already accustomed to utilising. This lessens the requirement for our data scientists while assisting enterprises in swiftly gaining insights from their data.

**What do you dislike about AtScale?**

The dependence on Hadoop makes it an issue because AtScale is built to work with Apache Hadoop, and businesses that don't use it might not be able to benefit from the solution. We had to make some tweaks in our tech stack to accommodate AtScale.

**What problems is AtScale solving and how is that benefiting you?**

The performance of big data analytics has been optimised, which allows us to quickly and thoroughly analyse the data. This helps our organisation make decisions more rapidly and effectively using data.

  ### 2. Good Tool

**Rating:** 4.0/5.0 stars

**Reviewed by:** Saloni J. | Software Engineer, Mid-Market (51-1000 emp.)

**Reviewed Date:** December 01, 2022

**What do you like best about AtScale?**

The thing i like the most is it can manage huge and big amounts of data . Also it can manage data from multiple streams. It is a great cost effective solution

**What do you dislike about AtScale?**

A little changes that could be made in the application is that it could be made to differ from the other analytics tools like BI. The user interface can be made to improve a little.

**What problems is AtScale solving and how is that benefiting you?**

This product helped in improving business agility for my business. It provided cost efficient solution for managing the Analytics work and drived revenue growth

  ### 3. AtScale Review

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.)

**Reviewed Date:** January 06, 2022

**What do you like best about AtScale?**

It has helped with performance improvement in SSAS Cube.

**What do you dislike about AtScale?**

The implementation was difficult to use in our company.

**What problems is AtScale solving and how is that benefiting you?**

The problems we are solving is the analysis of large data sets.

  ### 4. The interface is pleasant and easy to use.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Josh S. | Sales Specialist, Enterprise (> 1000 emp.)

**Reviewed Date:** July 13, 2019

**What do you like best about AtScale?**

The GUI interface is pleasant and easy to use. The only complaint is about the organization of the icons, as they are not saved between users. All the elements are grouped together and need to be separated.

**What do you dislike about AtScale?**

Tableau did not always capture the aggregations. There was also a problem with the incremental aggregation that does not work as indicated.

**Recommendations to others considering AtScale:**

I would recommend looking for the features of this software to see if it fits your company's needs to avoid wasting money on an unnecessary implementation.

**What problems is AtScale solving and how is that benefiting you?**

The product had many problems. We had great collaboration with the product development team, but the product could not meet our 10-second update requirements.


## AtScale Discussions
  - [What is AtScale used for?](https://www.g2.com/discussions/what-is-atscale-used-for)

- [View AtScale pricing details and edition comparison](https://www.g2.com/products/atscale/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-16+23%3A23%3A08+-0500&secure%5Bsession_id%5D=7a3c0349-5af5-40d4-a679-728cc2fe6fbc&secure%5Btoken%5D=78450e5df1ee25f3b94f009beda3245caa6d3044162e0f4f549b654688bb6c79&format=llm_user)

## AtScale Features
**Reports**
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards

**Administration**
- Database Management
- Access Control
- Data Security

**Data Management**
- Data Integration
- Data Compression
- Data Quality
- Built-In Data Analytics
- In-Database Machine Learning
- Data Lake Analytics

**Deployment & Integration - Semantic Layer Tools**
- Multi-Environment & Multi-Cloud Support
- Open API & SDK Integration

**Federation**
- Architecture
- Provisioning
- Orchestration
- API / Integrations

**Integration**
- AI/ ML Integration
- BI Tool Integration
- Data lake Integration

**Data Connectivity & Federation - Semantic Layer Tools**
- Cross-Source Query Federation
- Dynamic Schema & Metadata Adaptation

**Transformation**
- Data Visualization
- Application Performance
- Data Modeling

**Deployment**
- On-Premise
- Cloud

**Data Modeling & Metrics - Semantic Layer Tools**
- Derived & Calculated Metrics
- Time Intelligence Functions

**Performance **
- Scalability

**Performance Optimization - Semantic Layer Tools**
- Query Caching & Acceleration
- Adaptive Query Optimization

**Self Service **
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling

**Security**
- Data Governance
- Data Security

**Governance - Semantic Layer Tools**
- AI Governance & Observability
- Metric Lineage for AI Training Data
- Version Control & Change Impact Analysis

**Advanced Analytics**
- Predictive Analytics
- Data Visualization
- Big Data Services

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Advanced Intelligence - Semantic Layer Tools**
- Natural Language Query Interface
- Semantic Layer for AI/ML Models
- Recommendation Engine

**Agentic AI Enablement - Semantic Layer Tools**
- Agentic Query Orchestration
- Contextual Reasoning Layer
- Workflow Automation via Semantic Agents

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

## Top AtScale Alternatives
  - [Snowflake](https://www.g2.com/products/snowflake/reviews) - 4.6/5.0 (686 reviews)
  - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,157 reviews)
  - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - 4.1/5.0 (598 reviews)

