Metabase vs SAS Viya 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

Metabase

0.0 (0 reviews)

Metabase is an open-source business intelligence tool that lets you create charts and dashboards by asking questions about your data without needing to write complex SQL code.

Starting at $85/mo
Free Trial 14 days
VS

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

Quick Comparison

Feature Metabase SAS Viya
Website metabase.com sas.com
Pricing Model Freemium Custom
Starting Price $85/month Custom Pricing
FREE Trial ✓ 14 days free trial ✓ 14 days free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise saas on-premise mobile
Integrations Slack PostgreSQL MySQL BigQuery Snowflake Redshift SQL Server MongoDB ClickHouse SQLite Microsoft Azure Amazon Web Services Google Cloud Platform Python R Jupyter Snowflake Databricks Microsoft Teams Slack
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries finance healthcare government
Customer Count 0 0
Founded Year 2014 1976
Headquarters San Francisco, USA Cary, USA

Overview

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Metabase

Metabase is an intuitive business intelligence platform designed to help you and your team uncover insights from your data without needing a degree in data science. You can connect it to your existing databases and start asking questions immediately through a simple visual interface. It eliminates the bottleneck of waiting for data analysts by giving everyone the power to create their own charts, filtered lists, and automated dashboards.

Whether you are a startup looking to track growth or an enterprise needing to democratize data access, you can choose between self-hosting the open-source version or using their managed cloud service. It solves the problem of data silos by providing a central place where you can visualize trends, set up automated alerts, and share interactive reports with your entire organization in just a few clicks.

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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.

Overview

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Metabase Features

  • Visual Query Builder Ask questions and build complex reports using a simple point-and-click interface without writing a single line of SQL code.
  • Interactive Dashboards Create and share dynamic dashboards that let you filter and drill down into specific data points with one click.
  • SQL Editor Switch to a professional SQL editor when you need to perform advanced data transformations or write complex custom queries.
  • Automated Subscriptions Set up regular data deliveries to your email or Slack channel so you always stay updated on your key metrics.
  • Data Sandboxing Control exactly what your team members can see by creating secure environments that limit access to sensitive data rows.
  • Embedded Analytics Insert your charts and dashboards directly into your own application or website to provide data insights to your customers.
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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.

Pricing Comparison

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Metabase Pricing

Starter
$85
  • Includes 5 users
  • Fully managed cloud hosting
  • Automatic updates and backups
  • Unlimited dashboards and charts
  • Email and Slack integrations
  • Standard support access
S

SAS Viya Pricing

Pros & Cons

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Metabase

Pros

  • Extremely easy for non-technical users to navigate
  • Fast setup process for connecting major databases
  • Clean and modern user interface design
  • Powerful open-source version available for free
  • Seamless integration with Slack for automated alerts

Cons

  • Visual builder can struggle with complex joins
  • Limited chart customization compared to high-end tools
  • Cloud pricing is a significant jump from free
  • Requires SQL knowledge for very advanced reporting
A

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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