Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules.
Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.

Analytics and Business Intelligence Platforms

Gartner defines a data science and machine learning platform as an integrated set of code-based libraries and low-code tooling. These platforms support the independent use and collaboration among data scientists and their business and IT counterparts, with automation and AI assistance through all stages of the data science life cycle, including business understanding, data access and preparation, model creation and sharing of insights. They also support engineering workflows, including the creation of data, feature, deployment and testing pipelines. The platforms are provided via desktop client or browser with supporting compute instances or as a fully managed cloud offering.

Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning)

SAS Enterprise Guide Reviews, Ratings & Features 2025 | Gartner Peer Insights

Evaluation and contract negotiation

Evaluation & Contracting

Ability to understand your organization's needs

Timely and complete response to product questions

Pricing and contract flexibility (pricing and terms)

Integration and deployment

Integration & Deployment

Availability of quality 3rd-party resources (integrators, service providers, etc.)

Ease of integration using standard APIs and tools

Quality and availability of end-user training

Ease of deployment

Service and support

Service & Support

Timeliness of vendor's response

Quality of technical support

Quality of peer user community

Product capabilities

Product Capabilities

Collaboration & Social BI

Mobile Exploration and Authoring

Interactive Visual Exploration

Analytics Dashboards

Self-Contained Extraction, Transformation & Loading (ETL) & Data Storage

Ease of use to deploy and administer

Ease of use for content authors

Ease of use for content consumers

Publishing Analytic Content

Embedding Analytic Content

Embedded Advanced Analytics

Self-Service Data Preparation

Governance and Metadata Management

Security and Use Administration

Cloud BI

BI Platform Administration

Security

Governance

Cloud-Enabled Analytics

Data Source Connectivity

Data Preparation

Model Complexity

Analytics Catalog

Automated Insights

Advanced Analytics

Visualization

Natural Language Query

Data Storytelling

Embedded

Natural Language Generation

Reporting

Additional Context

Tableau

Salesforce (Tableau)

Microsoft Power BI

Microsoft

Qlik Sense

Qlik

Strategy One

Strategy

Looker

Google

Amazon QuickSight

Amazon Web Services (AWS)

SAP BusinessObjects BI Suite

Sisense Fusion Analytics

Sisense

SAS Enterprise Guide

Spotfire

3B - 10B USD

500M - 1B USD

<50M USD

1B - 3B USD

30B + USD

50M - 250M USD

10B - 30B USD

Gov't/PS/ED <5,000 Employees

250M - 500M USD

Gov't/PS/ED 5,000 - 50,000 Employees

Gov't/PS/ED 50,000 + Employees

Finance Associate

I use SAS daily as an analyst working with large healthcare datasets. Overall, it has been a reliable way to access our SAS environment and package repeatable processes in one place. The visual process flows make it easy to follow a job, and new users can become productive without needing to code. 

Data and Analytics Manager

I've used SAS Enterprise Guide since 2011.  I think it is a very powerful analytics tool and I've been able to provide great value using it.  However, during our migration to the cloud, we've encountered issues establishing connections to cloud data sources when using Federation Server.  This is not directly related to EG but greatly reduces what tasks we can use EG for when connecting to cloud resources.

Oracle

Other...

Alteryx

Databricks

FICO

Visual BI

Minitab

TIBCO

Datamatics

Atlassian (Chartio)

Salesforce

Fractal Analytics

eClinical Solutions

Hewlett Packard Enterprise (HPE)

Domo

DataHero

Cisco Systems (Splunk)

DataStories

Analyst1

Statistical Programmer

SAS Enterprise Guide provides a variety of functions for data manipulation and visualization. It has been a strong platform for report generation, mainly of clinical trials data. 
1.The syntax is easy to understand, and functions are handy when it comes to small dataset manipulations. But with large datasets with large set of variables in build functions are not enough and there is a need to macrotise many things. Constructing macros in SAS is an easy but a lengthy task. Also, it takes more time to process large datasets compared to some other platforms. For visualizations of data the functions are limited and there is always a need of large code to setup the constraints of visualization. Integration with Natural Language and Machine learning can be improved.

Data Analyst

SAS aims and succeeds in covering most tasks in analytics at the risk of not being excellent in all.

Business Analytics Lead

I have enjoyed using SAS EG outside of the quirks (i.e. differences) with proc sql.

during the first half of the year, we were unable to obtain the proper license for the new db. as far as we know, this was due to an internal issue at SAS HQ. we did not receive any appropriate compensation for the inconvenience. other than that, the support and response were good.

BUSINESS INTELLIGENCE ANALYST

I primarily use SAS Enterprise Guide in combination with other SAS products to integrate and analyze data from multiple sources, including SAS datasets, Oracle databases, and Amazon Redshift. For someone who is rather new to data modeling, I appreciate the low-code, no-code interface of workflows that alleviated some growing pains for navigating our complex data environment. As a BI Analyst, I often export these results to third-party BI tools, as Enterprise Guide doesn't have the robust visual detail as other BI platforms. Still, exporting content and integrating with other platforms has been relatively easy to navigate. 

Director of Data and Analytics

SAS is an exceptional organization that we rely on heavily for our predictive analytics engines.  Their commitment to research and development as well as testing and quality control is second to none in the software industry.  

Software Developer

As a QA engineer, I find SAS Enterprise Guide to be an easy to use data analysis tool that helps me to not only quickly access and read different tables e different databases but also easily organize my workflow using its GUI.

Kompetenter Coach, allerdings etwas zu schnell für den Level der Zielgruppe, SAS ist ein umfangreiches Analysetool, gute Kombi der Benutzeroberfläche und der freien Programmierung der Syntax/ Code

Active

Find the top Analytics and Business Intelligence Platforms with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.

50M-1B USD

1B-10B USD

10B+ USD

Gov't/PS/Ed

The SAS vendors we deal with are the best in class. They go out of their way to give us all the technical support we need. They keep us updated on the latest trend, incoming updates, and new products regularly. With SAS you don't feel like you are just another client, rather they treat us as real partners whose insights into their products they value.

I am very satisfied with SAS EG. Thanks to it, I can pull and analyze data easily and quickly. It makes my work more efficient, and a lot of processes are streamlined.

ASSOCIATE

Our experience with SAS Enterprise Guide has been outstanding, particularly in the context of clinical research and regulatory submissions. complex datasets while ensuring compliance with industry standards like CDISC and FDA Requirements. It has significantly improved the efficiency and accuracy of our statistical programming workflows.

DATA ANALYST

Experience is good, giving users the flexibility to run both SQL and SAS codes on a single platform. However, I do feel some challenges which make me feel that SAS EG is starting to lag behind competitors, which offer faster processing and also newer functionalities (e.g., windowed function calculation). As an analyst, these are key features which I feel are missing in SAS EG.

it is a powerful tool however it will help more if the product can integrate with more platforms

IT MANAGER

SAS Enterprise Guide est application GUI utilisés pour interagir avec SAS sans passer uniquement par la programmation. Il est assez simple car il est conçu pour permettre à des utilisateurs non spécialiste de la programmation de réaliser des tâches complexes. 

IT SERVICES ASSOCIATE

My Overall experience with SAS ENterprise Guide has been smooth and practical. The point-and-click interface makes it easy to build queries, join datasets and automate routine tasks without writing everything in code. It is specially helpful for quickly exploring data and creating repeatable workflows. While it is not the most modern interface, but it gets the job done efficiently 

VP, IT

SAS is always willing to go above and beyond to address any issues that we may encounter with their software.

SAS Enterprise Guide is a software that provides a graphical interface for advanced analytics, data management, and reporting. This software enables users to access, manipulate, and analyze data from multiple sources with point-and-click tasks, code editing, and automation capabilities. It supports data integration, statistical analysis, and the development of repeatable processes for data exploration and reporting. SAS Enterprise Guide offers features that facilitate collaboration among users through projects and workflows, enhancing productivity for business analysts and statisticians. The software addresses business needs for efficient data preparation, analysis, and sharing of results within organizations seeking to streamline decision-making based on data insights.

SAS is a global leader in AI and analytics software, including industry-specific solutions. SAS helps organizations transform data into trusted decisions faster by providing knowledge in the moments that matter. SAS gives you THE POWER TO KNOW®. 

Get more done with faster, more productive AI and analytics from the most trusted analytics partner on the planet. Produce answers as fast as the world produces data with SAS. With over forty years of analytics innovation, SAS has been giving customers around the world THE POWER TO KNOW®.

Collaboratory