Spreadsheets · head to head
Apache Superset vs SAS

Apache Superset
Spreadsheets
Modern data exploration and visualization platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Superset no commercial pricing; open-source project; SAS sAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
- They diverge on capability: Apache Superset covers 40+ Visualizations, SAS covers Statistical analysis.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Superset and SAS actually diverge.
| Attribute | Apache Superset | SAS |
|---|---|---|
| Pricing model | open-source | subscription |
| Platforms | Web, Self-hosted, Docker | Linux, Windows, Web |
| Category | Spreadsheets | Machine Learning |
| Founded | 1999 | 1976 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Apache Superset
- 40+ Visualizations
- SQL IDE
- Semantic Layer
- Caching
- Security
- PostgreSQL
- MySQL
- Presto
Only in SAS
- Statistical analysis
- Machine learning
- Forecasting
- Text analytics
- Optimization
- Python
- R
- Hadoop
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Apache Superset
- Self-service analyticsnot SAS
- Data explorationnot SAS
- Ad-hoc reportingnot SAS
- Collaborative analysisnot SAS
- Embedded analyticsnot SAS
SAS
- Regulated statistical analysis and clinical reportingnot Apache Superset
- Enterprise data management, visualization and decisioning on one licensed platformnot Apache Superset
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Superset
- No commercial pricing; open-source project
- Commercial hosting available via Preset.io (separate vendor)
SAS
- SAS publishes no rate, no minimum and no named cost driver; the how to buy page offers only a customized price quote based on your requirements and deployment preferences
- Most new and existing customers are routed through authorized resellers rather than buying direct
- Cloud marketplace purchases require choosing between pay as you go and bring your own licence, each with different licensing terms
Pricing, plan by plan
Apache Superset
Free- Open SourceFree
- Full Features
- Self-hosted
- Community Support
SAS
Free- SAS OnDemand for AcademicsFree
- Academic use
- Core SAS
- SAS ViyaFree
- Full platform
- Cloud-native
- AI/ML
Which should you pick?
Choose Apache Superset if
- You need 40+ visualizations.
- You want to start without paying.
- You work on Web, Self-hosted, Docker.
- You also want sql ide.
Choose SAS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Windows, Web.
- You also want machine learning.
Questions people ask
- Is Apache Superset or SAS better?
- Neither clearly leads. Apache Superset starts at Free and SAS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Superset or SAS?
- Apache Superset starts at Free and SAS at Free.
- Does Apache Superset or SAS run on more platforms?
- Apache Superset runs on Web, Self-hosted, Docker. SAS runs on Linux, Windows, Web.
- Can I use Apache Superset for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Superset best used for?
- Apache Superset is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what SAS is typically brought in for.
- What can Apache Superset do that SAS cannot?
- Apache Superset covers 40+ Visualizations, SQL IDE, Semantic Layer, Caching. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. Both handle Web support.
Answered from the vendors’ own pages
Apache Superset: What does Apache Superset cost?
Apache Superset is open-source software available free under the Apache 2.0 license. There are no licensing costs, subscription fees, or per-seat charges for using Superset itself.
SourceSAS: Does SAS offer a free trial?
Yes, SAS offers a free trial through a private trial environment for SAS Viya. Interested customers can request access by submitting a trial form on their website.
SourceApache Superset: Is there a paid version of Apache Superset?
Apache Superset itself is free and open-source. Preset.io offers commercial Superset hosting with premium support, but this is a separate vendor service, not an official paid tier of Superset.
SourceSAS: How does SAS price its software?
SAS does not publish standard pricing on its website. Instead, it uses a custom enterprise sales model where customers can choose between paying as-you-go or purchasing SAS Viya Enterprise. Specific pricing must be requested directly from their sales team.
SourceSAS: What are my pricing options?
SAS offers flexible purchasing models including pay-as-you-go and enterprise licensing options. The company states they can help you find the environment that fits your needs, but specific terms must be discussed with sales.
SourceSAS: How do I get a pricing quote?
You can request pricing through their website by using the quote request form, requesting a customized demo, or contacting their sales team directly.
SourceRelated pages
More on Apache Superset
Other head to heads
- Apache Superset vs Metabase
- Apache Superset vs Tableau
- Apache Superset vs Looker
- Apache Superset vs Redash
- Apache Superset vs Equals
- Apache Superset vs Sigma Computing
- Apache Superset vs Fibery
- Apache Superset vs Baserow
- Apache Superset vs NocoDB
- Apache Superset vs Budibase
- Apache Superset vs Google Sheets
- Apache Superset vs Numbers
- Apache Superset vs SeaTable
- Apache Superset vs Teable
- Apache Superset vs APITable
- Apache Superset vs Coefficient
- Apache Superset vs Cube Software
- Apache Superset vs Azure Machine Learning
- Apache Superset vs DataRobot
- Apache Superset vs AWS SageMaker
- Apache Superset vs Google Vertex AI
- Apache Superset vs IBM SPSS
- Apache Superset vs Databricks
- Apache Superset vs Palantir Foundry
- Apache Superset vs Alteryx
- Apache Superset vs Snowflake
- Apache Superset vs Stata
- Apache Superset vs MATLAB
- Apache Superset vs ClearML
- Apache Superset vs Cohere
- Apache Superset vs Dask
- Apache Superset vs Fal AI
- Apache Superset vs Groq
- Apache Superset vs BigQuery ML
- SAS vs Metabase
- SAS vs Tableau
- SAS vs Looker
- SAS vs Redash
- SAS vs Equals
- SAS vs Sigma Computing
- SAS vs Fibery
- SAS vs Baserow
- SAS vs NocoDB
- SAS vs Budibase
- SAS vs Google Sheets
- SAS vs Numbers
- SAS vs SeaTable
- SAS vs Teable
- SAS vs APITable
- SAS vs Coefficient
- SAS vs Cube Software
- SAS vs Azure Machine Learning
- SAS vs DataRobot
- SAS vs AWS SageMaker
- SAS vs Google Vertex AI
- SAS vs IBM SPSS
- SAS vs Databricks
- SAS vs Palantir Foundry
- SAS vs Alteryx
- SAS vs Snowflake
- SAS vs Stata
- SAS vs MATLAB
- SAS vs ClearML
- SAS vs Cohere
- SAS vs Dask
- SAS vs Fal AI
- SAS vs Groq
- SAS vs BigQuery ML

