SAS Viya vs Supermetrics Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

SAS Viya

0.0 (0 reviews)

SAS Viya is a cloud-native data management and analytics platform that helps you build, deploy, and manage artificial intelligence and machine learning models to solve complex business problems efficiently.

Starting at --
Free Trial 14 days
VS

Supermetrics

0.0 (0 reviews)

Supermetrics is a data integration platform that automatically moves your marketing data from over 150 platforms into your preferred reporting, visualization, and storage tools for streamlined analysis.

Starting at $29/mo
Free Trial 14 days

Quick Comparison

Feature SAS Viya Supermetrics
Website sas.com supermetrics.com
Pricing Model Custom Subscription
Starting Price Custom Pricing $29/month
FREE Trial ✓ 14 days free trial ✓ 14 days free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise mobile saas
Integrations Microsoft Azure Amazon Web Services Google Cloud Platform Python R Jupyter Snowflake Databricks Microsoft Teams Slack Google Sheets Excel Looker Studio BigQuery Snowflake Facebook Ads Google Ads LinkedIn Ads Instagram Shopify
Target Users mid-market enterprise small-business mid-market enterprise
Target Industries finance healthcare government
Customer Count 0 0
Founded Year 1976 2013
Headquarters Cary, USA Helsinki, Finland

Overview

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SAS Viya

SAS Viya is a cloud-native analytics platform designed to help you manage the entire data lifecycle in one place. You can move from raw data to production-ready AI models using a unified interface that supports both visual drag-and-drop tools and popular programming languages like Python and R. This flexibility allows your data scientists and business analysts to collaborate effectively on the same projects.

The platform handles massive datasets with ease thanks to its distributed, in-memory processing engine. You can deploy it on any cloud provider or on-premises environment to maintain control over your infrastructure. By automating repetitive data preparation and model tuning tasks, you can focus on uncovering insights that drive better business decisions and operational efficiency across your entire organization.

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Supermetrics

Supermetrics helps you eliminate the manual grunt work of moving marketing data into your reporting tools. Instead of downloading CSV files from Facebook, Google Ads, and LinkedIn, you can automate the entire process. You can pull data directly into Google Sheets, Excel, Looker Studio, or data warehouses like BigQuery and Snowflake without writing a single line of code.

The platform is designed for marketing agencies and in-house teams who need to consolidate data from multiple sources for cross-channel reporting. By centralizing your metrics, you can build comprehensive dashboards that update automatically, allowing you to spend your time analyzing performance rather than managing spreadsheets. It supports over 150 data sources, ensuring you have a complete view of your marketing funnel.

Overview

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SAS Viya Features

  • Visual Data Preparation Clean and transform your data using an intuitive visual interface that automatically generates code in the background.
  • Automated Machine Learning Build high-quality models faster by letting the system automatically handle feature engineering, algorithm selection, and hyperparameter tuning.
  • Model Management Register, track, and monitor all your analytical models in a central repository to ensure they perform reliably over time.
  • Open Language Support Write code in Python, R, or Lua while still taking advantage of the platform's powerful distributed processing capabilities.
  • Real-Time Decisioning Embed your analytical models directly into business processes to trigger automated actions and responses the moment data arrives.
  • Natural Language Generation Receive automated text explanations of your data visualizations so you can understand the 'why' behind your business trends.
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Supermetrics Features

  • Automated Data Extraction. Schedule automatic data refreshes so your reports and dashboards are always up to date without any manual intervention.
  • Multi-Channel Reporting. Combine metrics from different platforms like Facebook Ads and Google Ads into a single view for easy cross-channel comparison.
  • No-Code Interface. Build complex data queries and move information between platforms using a simple sidebar interface—no SQL or coding required.
  • Custom Metric Mapping. Standardize naming conventions across different platforms to ensure your data remains consistent and easy to read in every report.
  • Historical Data Access. Pull years of historical performance data from your marketing accounts to identify long-term trends and seasonal patterns.
  • Data Warehouse Uploads. Streamline your data pipeline by sending marketing metrics directly to BigQuery, Snowflake, or Azure for advanced enterprise analytics.

Pricing Comparison

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SAS Viya Pricing

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Supermetrics Pricing

Essential (Google Sheets)
$29
  • 10 data sources
  • 1 user included
  • Weekly automated refreshes
  • Standard support
  • Google Sheets destination

Pros & Cons

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SAS Viya

Pros

  • Handles extremely large datasets with high performance
  • Unified environment for both coding and visual users
  • Strong governance features for regulated industries
  • Excellent technical support and extensive documentation
  • Seamless integration with major cloud providers

Cons

  • Higher price point compared to open-source alternatives
  • Significant learning curve for the full feature set
  • Initial setup and configuration can be complex
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Supermetrics

Pros

  • Saves hours of manual data collection every week
  • Connects to a massive library of marketing sources
  • Integrates directly into familiar tools like Google Sheets
  • Automated refreshes ensure reports are always current

Cons

  • Pricing can become expensive as you add sources
  • Occasional authentication errors require manual re-connection
  • Learning curve for complex data transformations
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