---
title: The 5 Best Data Mining Tools of 2026
---

#  The 5 Best Data Mining Tools of 2026 

 Last Reviewed: March 31, 2026  4 min read [3 comments](https://www.selecthub.com/business-intelligence/data-mining-tools/#comments) 

[ ![Ritinder Kaur](https://www.selecthub.com/wp-content/uploads/2021/06/cropped-Ritinder-Kaur-v2-1-96x96.png) ](https://www.selecthub.com/author/ritinder-kaur/) [Written by Ritinder Kaur](https://www.selecthub.com/author/ritinder-kaur/) 

Sr. Technical Content Writer 

[ ![Zachary Totah](https://www.selecthub.com/wp-content/uploads/2020/07/Zac-96x96.jpg) ](https://www.selecthub.com/author/zachary-totah/) [Edited by Zachary Totah](https://www.selecthub.com/author/zachary-totah/) 

Content Manager & Editor 

[ ![Sagardeep Roy](https://www.selecthub.com/wp-content/uploads/2025/01/Sagardeep-Roy-96x96.jpg) ](https://www.selecthub.com/author/sagardeep-roy/) [Technical Research by Sagardeep Roy](https://www.selecthub.com/author/sagardeep-roy/) 

Senior Analyst 

Table of Contents

* [Best Data Mining Tools](#Best%5FData%5FMining%5FTools "Best Data Mining Tools")  
   * [RapidMiner](#RapidMiner "RapidMiner")  
   * [Alteryx Designer](#Alteryx%5FDesigner "Alteryx Designer")  
   * [Sisense For Cloud Data Teams](#Sisense%5FFor%5FCloud%5FData%5FTeams "Sisense For Cloud Data Teams")  
   * [TIBCO Data Science](#TIBCO%5FData%5FScience "TIBCO Data Science")  
   * [SAS Viya](#SAS%5FViya "SAS Viya")
* [FAQs](#FAQs "FAQs")
* [Next Steps](#Next%5FSteps "Next Steps")

  
<?xml encoding="utf-8" ?><?xml encoding="utf-8" ?>

The vendor is phasing out your data mining platform. You want to stick around by upgrading to the new version, but it won’t have your preferred features. It’s time to move on to another [BI tool](https://www.selecthub.com/c/business-intelligence-tools/) but which one?

This article showcases the top data mining tools to help you select the right system.

[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)

![SelectHub Top Picks for Data Mining Tools]()

**Data mining** is the process of finding patterns in data by building and training models, while [business intelligence](https://www.selecthub.com/category/business-intelligence/) involves extracting helpful information from them.

Data mining software solutions are programs that assist in identifying these patterns.

## Best Data Mining Tools

The best data mining software solutions free your teams with [self-service BI](https://www.selecthub.com/business-intelligence/self-service-business-intelligence/) capabilities, interactivity and visual analytics. What else should matter when making a purchasing decision?

Our analyst team identified the top five data mining tools to help you narrow your [requirements checklist](https://www.selecthub.com/business-intelligence/top-business-intelligence-requirements/).

![Best Data Mining Tools Attribute Comparison Table]()

[ ![RapidMiner](https://cdn.selecthub.com/products/92c3b916311a5517d9290576e3ea37ad-e948cff6599fa2650a6ed391d9aa6129/resources/normal/logo.png?1693318079 "RapidMiner") ](https://www.selecthub.com/p/data-analytics-software/rapidminer/) 

### [RapidMiner](https://www.selecthub.com/p/data-analytics-software/rapidminer/)

[Request Demo](https://pmo.selecthub.com/get-product-demo/?category=Data+Analytics+Software&product%5Fname=RapidMiner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F92c3b916311a5517d9290576e3ea37ad-e948cff6599fa2650a6ed391d9aa6129%2Fresources%2Fnormal%2Flogo.png%3F1693318079) [Request Pricing](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=RapidMiner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F92c3b916311a5517d9290576e3ea37ad-e948cff6599fa2650a6ed391d9aa6129%2Fresources%2Fnormal%2Flogo.png%3F1693318079&price=1) 

Start Price: [ $10Annually, Quote-Based ](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=RapidMiner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F92c3b916311a5517d9290576e3ea37ad-e948cff6599fa2650a6ed391d9aa6129%2Fresources%2Fnormal%2Flogo.png%3F1693318079&price=1) 

Free Trial: 

Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=RapidMiner&category=Data+Analytics+Software&product%5Flogo=https://cdn.selecthub.com/products/92c3b916311a5517d9290576e3ea37ad-e948cff6599fa2650a6ed391d9aa6129/resources/normal/logo.png?1693318079))

Good For: 

Any company size 

Deployment: 

Cloud, On-Premise 

User Sentiment: 

91% of users recommend this product 

i 

Based on user reviews collected from popular reviews sites.

Analyst Score

i 

Our Overall analyst rating for Data Analytics Software products is based on scores in our selection platform for functional requirements and technical requirements. Each functional and technical requirement is scored on a scale of 0 (not supported) to 100 (fully supported out of the box).

 86 

* Our Review
* Key Features
* Pros & Cons
* Media

**Bottom line:** RapidMiner is a good fit if you’re at a mid-to-large-sized org that wants visual workflows for business forecasting. It might be less suited for orgs with tight budgets or those that prefer fully open-source tools they can modify extensively.

The platform works well for demand forecasting, customer analytics, and market research. IT services and software firms can use it to build predictive models, proofs of concept, and client analytics solutions.

RapidMiner offers out-of-the-box database connectors, API and web-service deployment, and embedded Python for extending its functionality. Setup isn’t completely plug-and-play, though — you’ll need to configure infrastructure and access controls for the AI Hub.

A free plan exists, but enterprise use will require a license for RapidMiner Studio. If you want tighter integration with Python/R and more flexible deployment, I suggest checking out KNIME.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [Visit Site](https://rapidminer.com/products/)

* **Modeling automation** – RapidMiner builds and compares predictive models automatically, so you don’t have to hand-write algorithms or tune parameters.
* **Visual designer** – You can build end-to-end analytic workflows — from data connections to visualization — with a drag-and-drop designer.
* **Turbo Prep** – Pull in data from more than 40 file types and see changes reflected in pivot tables in real time as you clean and prep data.
* **Pre-built charts** – You can choose from 30+ interactive charts and graphs to explore data and spot trends without switching tools.
* **Apache Integration** – RapidMiner Radoop connects your team to [Hadoop](https://www.selecthub.com/p/big-data-analytics-tools/hadoop/) analytics and Spark processing without requiring any Spark programming.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [Visit Site](https://rapidminer.com/products/)

**Pros** 
* You can build complex analytics workflows using a drag-and-drop interface
* Built-in ML algorithms make predictive analytics accessible to non-technical teams
* You get visual, no-code data cleaning with Turbo Prep out of the box
* You also get access to a large, active user community for resolving issues
**Cons** 
* Users say heavy datasets and complex models can slow down the platform
* Users also say there’s a learning curve, and in-app tutorials are missing
* ETL capabilities need improvement, according to users
* Billing is limited to annual or pay-as-you-go plans, with no monthly option

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [Visit Site](https://rapidminer.com/products/)

![Screenshots]()![Screenshots]()![Screenshots]() 

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/rapidminer/) [Visit Site](https://rapidminer.com/products/)

  
[ ![Alteryx Designer](https://cdn.selecthub.com/products/f69041d874533096748e2d77480c1fea-cdb8aeb555e57add783cdd391e2c58cd/resources/normal/logo.png?1693317457 "Alteryx Designer") ](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/) 

### [Alteryx Designer](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/)

[Request Demo](https://pmo.selecthub.com/get-product-demo/?category=Data+Analytics+Software&product%5Fname=Alteryx%2BDesigner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Ff69041d874533096748e2d77480c1fea-cdb8aeb555e57add783cdd391e2c58cd%2Fresources%2Fnormal%2Flogo.png%3F1693317457) [Request Pricing](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=Alteryx%2BDesigner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Ff69041d874533096748e2d77480c1fea-cdb8aeb555e57add783cdd391e2c58cd%2Fresources%2Fnormal%2Flogo.png%3F1693317457&price=5) 

Start Price: [ $4,950Annually ](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=Alteryx%2BDesigner&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Ff69041d874533096748e2d77480c1fea-cdb8aeb555e57add783cdd391e2c58cd%2Fresources%2Fnormal%2Flogo.png%3F1693317457&price=5) 

Free Trial: 

Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=Alteryx+Designer&category=Data+Analytics+Software&product%5Flogo=https://cdn.selecthub.com/products/f69041d874533096748e2d77480c1fea-cdb8aeb555e57add783cdd391e2c58cd/resources/normal/logo.png?1693317457))

Good For: 

Any company size 

Deployment: 

Cloud 

User Sentiment: 

90% of users recommend this product 

i 

Based on user reviews collected from popular reviews sites.

* Our Review
* Key Features
* Pros & Cons
* Media

**Bottom line:** Alteryx Designer is a strong choice if you’re at an org that needs robust ETL with self-service analytics and are willing to pay for a premium, enterprise-grade platform. It may be excessive for small teams that only need occasional data cleaning or prefer low-cost, open-source tools.

The platform is suitable for financial services, insurance, retail, CPG, eCommerce, healthcare, life sciences, and logistics. Alteryx Designer connects to local files, databases, and cloud platforms, and can send outputs to more than 70 tools through automated workflows.

Installation, connection setup, and governance typically take a few weeks. Since Designer isn’t a full data platform, you’ll need backend storage and a broader data architecture. Analysts familiar with SQL, ETL, and BI tools will likely have a shorter learning curve.

If you need something cost-effective, I suggest checking out KNIME Analytics platform, though setup will require more effort.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/) [Visit Site](https://www.alteryx.com/)

* **No-code pipelines** – Design data pipelines using guided prompts, 30+ prep tools, and drag-and-drop actions while profiling and fixing data quality issues.
* **No-SQL prep** – Clean, transform, and blend data without SQL, removing duplicates, summarizing datasets, and handling null values via the Designer.
* **Processing efficiency** – Alteryx handles small datasets instantly as they upload, and uses in-memory data to keep workflows moving quickly.
* **Generative AI** – Create workflow documentation and client-ready insights using OpenAI models and Microsoft Azure Cognitive Services.
* **Extensibility** – You can build custom tools and plugins with vendor-provided SDKs.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/) [Visit Site](https://www.alteryx.com/)

**Pros** 
* You can build analytics workflows with drag-and-drop, no coding required
* You get powerful ETL tools that make data wrangling fast and straightforward
* Users say Alteryx’s spatial, statistical, and predictive analysis helps them get more value from their data
* You can connect to databases, apps, and third-party sources out of the box
**Cons** 
* Users say licensing and add-on costs can add up fast
* Users also say they need to export data to Tableau or Power BI to generate presentation-ready reports
* Alteryx can slow down when processing large datasets, according to users
* You'll need dedicated training resources as documentation doesn't keep up with new releases

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/) [Visit Site](https://www.alteryx.com/)

![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]() 

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/alteryx-designer/) [Visit Site](https://www.alteryx.com/)

  
[ ![Sisense For Cloud Data Teams](https://cdn.selecthub.com/products/1d3b7f1f8a7625f8d5e700dcf0d9ae68-19ed1622072a6ff724e41d59ad64eb1b/resources/normal/logo.png?1693317587 "Sisense For Cloud Data Teams") ](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/) 

### [Sisense For Cloud Data Teams](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/)

[Request Demo](https://pmo.selecthub.com/get-product-demo/?category=Data+Analytics+Software&product%5Fname=Sisense%2BFor%2BCloud%2BData%2BTeams&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F1d3b7f1f8a7625f8d5e700dcf0d9ae68-19ed1622072a6ff724e41d59ad64eb1b%2Fresources%2Fnormal%2Flogo.png%3F1693317587) [Request Pricing](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=Sisense%2BFor%2BCloud%2BData%2BTeams&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F1d3b7f1f8a7625f8d5e700dcf0d9ae68-19ed1622072a6ff724e41d59ad64eb1b%2Fresources%2Fnormal%2Flogo.png%3F1693317587&price=3) 

Start Price: [ Custom Quote i  Sisense For Cloud Data Teams doesn't have a fixed starting price. For pricing details, you'll need to request a custom quote. Factors that can influence final pricing for Data Analytics Software typically include number of users, chosen modules or features, level of support, services like implementation, and add-ons. ](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=Sisense%2BFor%2BCloud%2BData%2BTeams&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2F1d3b7f1f8a7625f8d5e700dcf0d9ae68-19ed1622072a6ff724e41d59ad64eb1b%2Fresources%2Fnormal%2Flogo.png%3F1693317587&price=3) 

Free Trial: 

No

Good For: 

Any company size 

Deployment: 

Cloud 

User Sentiment: 

87% of users recommend this product 

i 

Based on user reviews collected from popular reviews sites.

* Our Review
* Key Features
* Pros & Cons
* Media

**Bottom line:** Sisense for Cloud Data Teams is a good fit if your org needs governed, collaborative analytics to replace ad hoc, spreadsheet reporting. It might not be ideal if you need no-code analytics or analyze data within operational SaaS tools.

The platform is suitable for SaaS and tech companies that rely on product, customer, and growth analytics and already use warehouses like [Snowflake](https://www.selecthub.com/p/data-warehouse-tools/snowflake/), [BigQuery](https://www.selecthub.com/p/data-warehouse-tools/bigquery/), or [Redshift](https://www.selecthub.com/p/data-warehouse-tools/redshift/). Sisense integrates with SQL databases and collaboration tools such as [Slack](https://www.selecthub.com/p/collaboration-software-tools/slack/).

Implementation typically takes a few weeks if a warehouse is already in place — if you need to deploy one, expect deployment to last for several weeks to a few months.

However, the platform isn’t exactly self-service, and consumption is limited to power users. Charting is also less polished than Tableau and Power BI.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/) [Visit Site](https://periscopedata.com)

* **NLP** – Get timely decision support with plain-English queries — analyze data in-depth without coding.
* **Advanced analytics** – Run SQL/Python analysis and build visualizations to uncover current trends and generate more accurate predictions.
* **Sub-second interactivity** – You can ship products faster with smart caching and in-chip indexing that provides instant data exploration.
* **High-performance storage –** You can use its columnar database architecture to query and manage massive datasets efficiently.
* **Data prep** – You can bring together data from cloud warehouses into your repositories using AI.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/) [Visit Site](https://periscopedata.com)

**Pros** 
* Users say they can flexibly query data using Sisense
* You get built-in collaboration tools
* Users say implementation is straightforward
* You get advanced visualization tools to produce clear charts and dashboards
**Cons** 
* Users say SQL knowledge is a must to make the most of the platform
* Premium pricing puts it out of reach of small orgs
* No free trial makes it hard to evaluate the platform before committing

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/) [Visit Site](https://periscopedata.com)

![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]() 

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sisense-for-cloud-data-teams/) [Visit Site](https://periscopedata.com)

  
[ ![TIBCO Data Science](https://cdn.selecthub.com/products/b3df435f52be5287d9ace3b28e2dcac9-f163ffc505e962554e7c5095432e6d35/resources/normal/logo.png?1747854751 "TIBCO Data Science") ](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/) 

### [TIBCO Data Science](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/)

[Request Demo](https://pmo.selecthub.com/get-product-demo/?category=Statistical+Analysis+Software&product%5Fname=TIBCO%2BData%2BScience&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fb3df435f52be5287d9ace3b28e2dcac9-f163ffc505e962554e7c5095432e6d35%2Fresources%2Fnormal%2Flogo.png%3F1747854751) [Request Pricing](https://pmo.selecthub.com/get-product-pricing/?category=Statistical+Analysis+Software&product%5Fname=TIBCO%2BData%2BScience&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fb3df435f52be5287d9ace3b28e2dcac9-f163ffc505e962554e7c5095432e6d35%2Fresources%2Fnormal%2Flogo.png%3F1747854751&price=4) 

Start Price: [ Custom Quote i  TIBCO Data Science doesn't have a fixed starting price. For pricing details, you'll need to request a custom quote. Factors that can influence final pricing for Statistical Analysis Software typically include number of users, chosen modules or features, level of support, services like implementation, and add-ons. ](https://pmo.selecthub.com/get-product-pricing/?category=Statistical+Analysis+Software&product%5Fname=TIBCO%2BData%2BScience&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fb3df435f52be5287d9ace3b28e2dcac9-f163ffc505e962554e7c5095432e6d35%2Fresources%2Fnormal%2Flogo.png%3F1747854751&price=4) 

Free Trial: 

Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=TIBCO+Data+Science&category=Statistical+Analysis+Software&product%5Flogo=https://cdn.selecthub.com/products/b3df435f52be5287d9ace3b28e2dcac9-f163ffc505e962554e7c5095432e6d35/resources/normal/logo.png?1747854751))

Good For: 

Any company size 

Deployment: 

Cloud, On-Premise 

User Sentiment: 

78% of users recommend this product 

i 

Based on user reviews collected from popular reviews sites.

* Our Review
* Key Features
* Pros & Cons
* Media

**Bottom line:** TIBCO Data Science is a strong choice if you’re at a medium to large org that needs fraud models and demand forecasts and doesn’t have a highly technical team. It might not be ideal for AI startups or university research teams doing pure ML innovation.

The platform is suitable for manufacturing (predictive maintenance and quality control), financial services, retail and CPG, healthcare, and pharmaceuticals.

It integrates closely with the TIBCO ecosystem, including [Spotfire](https://www.selecthub.com/p/data-visualization-tools/spotfire/) (viz), Streaming (real-time analytics), and Data Virtualization (federation). It also connects with [Apache Spark](https://www.selecthub.com/p/big-data-analytics-tools/apache-spark/), [Hadoop](https://www.selecthub.com/p/big-data-analytics-tools/hadoop/), and cloud platforms like AWS, Azure, and Google Cloud.

Implementation is enterprise-grade, with Hadoop/Spark setup, ModelOps, and team training requiring significant time and effort. You’ll also need to invest in the Spotfire visualization layer to unlock its full power. You might find the platform expensive if you’re not already committed to the TIBCO environment.

[ Read Full Review](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/) [Visit Site](https://docs.tibco.com/pub/dsc-operations/1.2.0/html/GUID-6D8541C8-74B4-4DA9-A94C-82372E0BAE9E.html)

* **Unified analytics** – You get data prep, analytics, and model deployment in one platform.
* **In-database processing** – Run analytics where your data already lives, so you don’t have to keep moving large data sets around.
* **Visual workflows** – You can create data pipelines with simple drag-and-drop tools.
* **Team collaboration** – Shared workflows and notebooks help your team work together without version conflicts.
* **API deployment** – You can turn models into secure APIs, so other apps and tools can use them for real-time predictions.

[ Read Full Review](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/) [Visit Site](https://docs.tibco.com/pub/dsc-operations/1.2.0/html/GUID-6D8541C8-74B4-4DA9-A94C-82372E0BAE9E.html)

**Pros** 
* You get a drag-and-drop interface to build workflows without coding
* You also get neural networks to connect dots in your data that don’t seem obvious at first glance
* Data scientists, analysts, and business users can co-develop models using collaboration tools
* A scalable architecture can support large data volumes
**Cons** 
* Integration with non-TIBCO products or legacy systems is limited
* Users say that too many features can be overwhelming when you're first getting started
* Users also say that the training content is insufficient for self-paced learning
* Pricing can be steep if you're a small org with a limited budget

[ Read Full Review](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/) [Visit Site](https://docs.tibco.com/pub/dsc-operations/1.2.0/html/GUID-6D8541C8-74B4-4DA9-A94C-82372E0BAE9E.html)

![Screenshots]()![Screenshots]() 

[ Read Full Review](https://www.selecthub.com/p/statistical-analysis-software/tibco-data-science/) [Visit Site](https://docs.tibco.com/pub/dsc-operations/1.2.0/html/GUID-6D8541C8-74B4-4DA9-A94C-82372E0BAE9E.html)

  
[ ![SAS Viya](https://cdn.selecthub.com/products/a376033f78e144f494bfc743c0be3330-3148bd763fa33d8a70241e6f9a8d2834/resources/normal/logo.webp?1749060516 "SAS Viya") ](https://www.selecthub.com/p/data-analytics-software/sas-viya/) 

### [SAS Viya](https://www.selecthub.com/p/data-analytics-software/sas-viya/)

[Request Demo](https://pmo.selecthub.com/get-product-demo/?category=Data+Analytics+Software&product%5Fname=SAS%2BViya&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa376033f78e144f494bfc743c0be3330-3148bd763fa33d8a70241e6f9a8d2834%2Fresources%2Fnormal%2Flogo.webp%3F1749060516) [Request Pricing](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=SAS%2BViya&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa376033f78e144f494bfc743c0be3330-3148bd763fa33d8a70241e6f9a8d2834%2Fresources%2Fnormal%2Flogo.webp%3F1749060516&price=5) 

Start Price: [ $10,000Annually ](https://pmo.selecthub.com/get-product-pricing/?category=Data+Analytics+Software&product%5Fname=SAS%2BViya&product%5Flogo=https%3A%2F%2Fd3uimxdj41cg3o.cloudfront.net%2Fproducts%2Fa376033f78e144f494bfc743c0be3330-3148bd763fa33d8a70241e6f9a8d2834%2Fresources%2Fnormal%2Flogo.webp%3F1749060516&price=5) 

Free Trial: 

Yes ([Request for Free](https://pmo.selecthub.com/free-trial/?product%5Fname=SAS+Viya&category=Data+Analytics+Software&product%5Flogo=https://cdn.selecthub.com/products/a376033f78e144f494bfc743c0be3330-3148bd763fa33d8a70241e6f9a8d2834/resources/normal/logo.webp?1749060516))

Good For: 

Medium & large companies 

Deployment: 

Cloud 

User Sentiment: 

85% of users recommend this product 

i 

Based on user reviews collected from popular reviews sites.

Analyst Score

i 

Our Overall analyst rating for Data Analytics Software products is based on scores in our selection platform for functional requirements and technical requirements. Each functional and technical requirement is scored on a scale of 0 (not supported) to 100 (fully supported out of the box).

 94 

* Our Review
* Key Features
* Pros & Cons
* Media

**Bottom line:** SAS Viya is a good choice if you’re at a mid-to-large-org that needs governed AI/ML analytics at scale. It might not be ideal for pure dev/ML research teams or small teams seeking low-cost alternatives.

The platform is especially suitable for industries like financial services, healthcare, retail, and government. It integrates with Amazon, Azure, and Google Cloud, and supports Snowflake and BigQuery, along with PMML/ONNX for model operations and APIs for real-time scoring.

Implementation typically takes two to six months, with faster ramp-up for existing SAS users. Visual tools plus Python/R improve usability across skill levels. While it’s subscription-based, costs can rise with heavy compute usage. If you want greater dev flexibility, I recommend checking out [Databricks](https://www.selecthub.com/p/big-data-analytics-tools/azure-databricks/).

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [Visit Site](https://www.sas.com/en%5Fus/software/viya.html)

* **Automated modeling** –You can deliver accurate predictions quicker by building random forests, neural nets, and SVMs (support vector machines).
* **Model assessment** – You can compare models by identifying common patterns they share and pick the best one to deliver for accurate predictions.
* **Insight summaries** – You can turn tech results into plain English to convey them to shareholders without drowning them in exhaustive reports.
* **Model Studio** – Build end-to-end pipelines visually — data prep, code, open-source algorithms — in one spot.
* **Deep learning** – You get readymade tools for building AI images and processing text data.

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [Visit Site](https://www.sas.com/en%5Fus/software/viya.html)

**Pros** 
* You can model and analyze data without needing advanced technical skills
* It connects to your existing business apps and cloud platforms without friction
* You can run automated forecasts and what-if scenarios without writing any code
* Users say the support team responds quickly and is knowledgeable
**Cons** 
* The pricing is steep, and small orgs may find it hard to justify
* You can only run multi-tenant deployments in Linux environments
* Users say visual statistics could use more depth for advanced scenario work
* You may find it hard to tailor the platform to your team's specific workflows

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [Visit Site](https://www.sas.com/en%5Fus/software/viya.html)

![Screenshots]()![Screenshots]()![Screenshots]()![Screenshots]() 

[ Read Full Review](https://www.selecthub.com/p/data-analytics-software/sas-viya/) [Visit Site](https://www.sas.com/en%5Fus/software/viya.html)

## FAQs

[What’s the difference between classification and clustering?](#group%5F609) 

They are distinct techniques in BI and data analytics. Classification involves defining attributes and training data models to group new, unknown datasets with those qualities.

Do you ever notice when online forms automatically assign the area code upon entering the city name?

It is the supervised learning technique behind the scenes — data scientists define the variables “city” and “area” and assign them the area codes as classes.

They train the classification model to predict the area code upon entering new city and area names.

Pattern identification drives customer segmentation based on their buying propensities. Insurance and loan companies use classification techniques to flag fraud and track claims.

From retail to entertainment, companies customize their offerings to keep customers coming back for more. Netflix and Spotify show recommendations suited to your personal preferences — it’s data mining at work with classification in the background.

In contrast, clustering is a descriptive technique to group similar datasets based on their commonalities or differences. It’s an unsupervised technique with no training algorithms or predefined classes.

![Oracle Analytics Clustering Algorithm Settings]()

Defining the clustering algorithm settings in Oracle Analytics. [Source](https://youtu.be/cAGjf03a2xk?t=238)

[What’s the difference between data mining and preparation?](#group%5F968) 

Data mining is the next step after data preparation which involves preprocessing, profiling, cleansing and transforming raw data for data mining and analysis.

Though many BI and reporting tools have end-to-end data management, dedicated data cleaning and profiling tools are available.

Data mining involves identifying the patterns in data after it’s preprocessed and clean.

[What are the applications of data mining?](#group%5F478) 

Machine learning, automation and natural language processing make pattern identification easier and faster.

* By classifying datasets, you can understand customer preferences and market trends and position your product accordingly.
* It increases your chances of improving sales and boosting your bottom line.
* You can learn what’s wrong with your business — maybe you’re leaking money due to loan or insurance fraud.

But data volumes can become unmanageable without the right data mining software.

[Compare BI Software Leaders](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)

## Next Steps

A team is only as good as its players, and the same is true for your analytics software stack. Having the best source connectivity and visualization capabilities is never enough.

If you can’t derive useful information from large data volumes faster than the speed of thought, you’re losing to the competition. An efficient data mining tool is the answer, and your software search starts here.

Need help getting started? Generate a [free comparison scorecard ](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)of the leading systems on your list and see how they fare for over a hundred functional and technical requirements.

Which data mining tool do you use? Which business needs did it address? Feel free to let us know in the comments below!

**Analyst-Picked Related Content**  
**Pricing Guide:** [Discover the true cost of BI software ](https://pmo.selecthub.com/bi-price-report-pdf-onsite/)  
**Comparison Report:** [An Interactive analyst report with comparison ratings, reviews and pricing ](https://pmo.selecthub.com/bi-software-analyst-report-site-vers/)

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 Originally published in July 2024 and last updated in March 2026\. Contributions from Ritinder Kaur, Sagardeep Roy, Suhan Das, and Zachary Totah.

## About the Contributors

 The following team members helped research, create, and review this content.

[ ](https://www.selecthub.com/author/ritinder-kaur/) 

 Written by  
[Ritinder Kaur](https://www.selecthub.com/author/ritinder-kaur/) 

Sr. Technical Content Writer

Ritinder Kaur is a Senior Technical Content Writer at SelectHub and has ten years of experience writing about B2B software and quality assurance. She has a Masters degree in English language and literature and writes about Business Intelligence and Data Science. Her articles on software testing have been published on Stickyminds.

[See Full Bio](https://www.selecthub.com/author/ritinder-kaur/)

[ ](https://www.selecthub.com/author/sagardeep-roy/) 

 Technical Research by  
[Sagardeep Roy](https://www.selecthub.com/author/sagardeep-roy/) 

Senior Analyst

Sagardeep is a Senior Research Analyst at SelectHub, specializing in diverse technical categories. His expertise spans Business Intelligence, Analytics, Big Data, ETL, Cybersecurity, artificial intelligence and machine learning, with additional proficiency in EHR and Medical Billing. Holding a Master of Technology in Data Science from Amity University, Noida, and a Bachelor of Technology in Computer Science from West Bengal University of Technology, his experience across technology, healthcare, and market research extends back to 2016\. As a certified Data Science and Business Analytics professional, he approaches complex projects with a results-oriented mindset, prioritizing individual excellence and collaborative success.

[See Full Bio](https://www.selecthub.com/author/sagardeep-roy/)

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Senior Analyst

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Bergen AdairThe Best Business Intelligence Systems and the Different Types

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####   **sound of text**  \- December 5, 2023  
Great article! It’s helpful to know about the top data mining tools available, especially for businesses and organizations that rely on data analysis for decision-making.  
**[Reply](#comment-185818)**
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####   **TADELE Deressa**  \- July 10, 2021  
I was satisfied..thanks a lot !!  
**[Reply](#comment-79853)**  
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####   **Hsing Tseng**  \- July 26, 2021  
Thanks for reading! We’re glad you found this post helpful.  
**[Reply](#comment-82195)**

**Tier 1:**  
 Fully/moderately supported out-of-the-box allowing for quick and easy deployment.  
 Fully or moderately supported out-of-the-box with industry-leading capabilities and is immediately available after installation without needing any add-ons, integrations, or custom development. 

**Tier 2:**  
 Supported with workarounds or add-ons that may require additional costs.  
 Not directly available in the software, but can be accomplished using other built-in features, workarounds, or add-ons/products from the vendor with or without any additional cost. 

**Tier 3:**  
 Requires partner integrations or custom development that is often at an additional cost.  
 Requires additional integrations, plugins, marketplace applications from a third-party vendor, or custom development using the APIs, libraries, extensions, and development framework supported by the software, with or without any additional cost. 

[Close](#) 

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