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Business Intelligence · head to head

Preset vs SAS

Preset logo

Preset

Business Intelligence

Managed Apache Superset

From
Free
Rated
-
Full reviewWebsite
SAS logo

SAS

Machine Learning

Analytics, AI and data management software

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Preset limited SQL IDE advanced features compared to specialized query tools; 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: Preset covers Managed Superset, SAS covers Statistical analysis.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Preset and SAS actually diverge.

Attributes where Preset and SAS differ
AttributePresetSAS
Pricing modelUnknownsubscription
PlatformsWeb, CloudLinux, Windows, Web
CategoryBusiness IntelligenceMachine Learning
Founded20191976

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 Preset

  • Managed Superset
  • Auto-scaling
  • Enterprise Security
  • Custom Branding
  • API Access
  • Snowflake
  • BigQuery
  • Redshift

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.

Preset

  • Self-service analyticsnot SAS
  • Data explorationnot SAS
  • Ad-hoc reportingnot SAS
  • Collaborative analysisnot SAS
  • Embedded analyticsnot SAS

SAS

  • Regulated statistical analysis and clinical reportingnot Preset
  • Enterprise data management, visualization and decisioning on one licensed platformnot Preset

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Preset

  • Limited SQL IDE advanced features compared to specialized query tools
  • Viewer licenses add substantial cost for embedded analytics deployments
  • Dataset-centric approach requires preprocessing by data teams for some use cases

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

Preset

Free

No published plan breakdown. See the Preset review.

SAS

Free
  • SAS OnDemand for AcademicsFree
    • Academic use
    • Core SAS
  • SAS ViyaFree
    • Full platform
    • Cloud-native
    • AI/ML

Which should you pick?

Choose Preset if

  • You need managed superset.
  • You want to start without paying.
  • You work on Web, Cloud.
  • You also want auto-scaling.
Preset review

Choose SAS if

  • You need statistical analysis.
  • You want to start without paying.
  • You work on Linux, Windows, Web.
  • You also want machine learning.
SAS review

Questions people ask

Is Preset or SAS better?
Neither clearly leads. Preset 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, Preset or SAS?
Preset starts at Free and SAS at Free.
Does Preset or SAS run on more platforms?
Preset runs on Web, Cloud. SAS runs on Linux, Windows, Web.
Can I use Preset for free?
Both have a free tier, so you can try either at no cost before committing.
What is Preset best used for?
Preset 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 Preset do that SAS cannot?
Preset covers Managed Superset, Auto-scaling, Enterprise Security, Custom Branding. SAS covers Statistical analysis, Machine learning, Forecasting, Text analytics. Both handle Web support.

Answered from the vendors’ own pages

Preset: Is Preset free?

Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.

Source
SAS: 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.

Source
Preset: Can I export my data from Preset?

Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.

Source
SAS: 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.

Source
Preset: Does Preset include embedded analytics?

Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.

Source
SAS: 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.

Source
Preset: What is the enterprise pricing for Preset?

Enterprise plans are custom quoted. The median buyer pays $35,495 per year.

Source
SAS: 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.

Source
Preset: Does Preset support AI-powered analytics?

Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.

Source
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