Grafana Labs 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

Grafana Labs

0.0 (0 reviews)

Grafana Labs provides an open-source visualization and analytics platform that allows you to query, visualize, alert on, and understand your metrics no matter where they are stored.

Starting at Free
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 Grafana Labs SAS Viya
Website grafana.com sas.com
Pricing Model Freemium Custom
Starting Price Free 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 cloud on-premise desktop saas on-premise mobile
Integrations Prometheus Elasticsearch AWS CloudWatch Azure Monitor Google Cloud Monitoring MySQL PostgreSQL Slack PagerDuty GitHub 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 New York, USA Cary, USA

Overview

G

Grafana Labs

Grafana Labs offers a powerful observability platform that helps you make sense of your data through beautiful, functional dashboards. You can connect to dozens of different data sources simultaneously, allowing you to see your metrics, logs, and traces in a single unified view. Whether you are monitoring server health, tracking application performance, or analyzing business trends, you can build custom visualizations that turn complex raw data into actionable insights for your entire team.

The platform is designed to be flexible and vendor-neutral, meaning you don't have to migrate your data to use it. You can set up sophisticated alerting systems to get notified when something goes wrong and use the explore mode to dig deep into your data for troubleshooting. It scales from individual developers to global enterprises, offering a managed cloud service that removes the burden of maintaining your own monitoring infrastructure.

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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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Grafana Labs Features

  • Unified Dashboards Create and share beautiful dashboards that pull data from multiple sources into one cohesive visual display.
  • Multi-Source Support Connect to Prometheus, Elasticsearch, InfluxDB, and dozens of other databases without moving your data.
  • Dynamic Alerting Set up custom alert rules and receive notifications via Slack, PagerDuty, or email when metrics cross your thresholds.
  • Explore Mode Dig into your data with ad-hoc queries to troubleshoot issues and find patterns without creating permanent dashboards.
  • Log Management Visualize and search your logs alongside your metrics to get the full context of system events.
  • Role-Based Access Control who can view or edit your dashboards with granular permissions to keep your data secure.
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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

G

Grafana Labs Pricing

Cloud Free
$0
  • Up to 3 users
  • 10k series of Prometheus metrics
  • 50GB of logs
  • 50GB of traces
  • 14-day data retention
  • Access to 100+ plugins
S

SAS Viya Pricing

Pros & Cons

M

Grafana Labs

Pros

  • Extensive library of pre-built community dashboards
  • Highly flexible visualization options for any data
  • Seamless integration with almost any data source
  • Strong open-source community and active support

Cons

  • Steep learning curve for complex queries
  • Initial setup can be time-consuming
  • Alerting configuration requires technical expertise
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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