Top 15 Best Free Data Mining Tools: The Most Comprehensive List

Comprehensive List of the Best Data Mining (also known as Data Modeling or Data Analysis) Software and Applications:

Data mining serves the primary purpose of discovering patterns among large volumes of data and transforming data into more refined/actionable information.

This technique utilizes specific algorithms, statistical analysis, artificial intelligence & database systems. It aims to extract information from huge data sets and convert it into an understandable structure for future use.

Best Free Data Mining Tools

Along with primary services, certain data mining systems provide advanced features including data warehousing & KDD (Knowledge Discovery in Databases) processes.

Data Warehouse: A large repository of subject oriented, integrated, a time-variant collection of data used to guide management’s decisions.

KDD: The process of discovering most useful knowledge from a collection of large data.

There are numerous data mining tools available in the market, but the choice of best one is not simple. A number of factors need to be considered before making an investment in any proprietary solution.

All the data mining systems process information in different ways from each other, hence the decision-making process becomes even more difficult. In order to help our users on this, we have listed market’s top 15 data mining tools below that should be considered.

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List of Most Popular Data Mining Tools and Applications

Here we go!

Here we have compared the list of free and commercial data modeling tools.


Integrate io_logo provides a platform that has functionalities to integrate, process, and prepare data for analytics. Businesses will be able to make most of the opportunities offered by big data with the help of and that too without investing in related personnel, hardware, and software. It is a complete toolkit for building data pipelines.

You will be able to implement complex data preparation functions through rich expression language. It has an intuitive interface to implement ETL, ELT, or a replication solution. You will be able to orchestrate and schedule pipelines through a workflow engine.

  • is the data integration platform for all. It offers no-code and low-code options.
  • An API component will provide advanced customization and flexibility.
  • It has functionalities to transfer and transform data between databases and data warehouses.
  • It provides support through email, chat, phone, and online meetings.

Availability: Licensed tools.

#2) Rapid Miner  

Rapid Miner Logo

Availability: Open source

Rapid Miner is one of the best predictive analysis system developed by the company with the same name as the Rapid Miner. It is written in JAVA programming language. It provides an integrated environment for deep learning, text mining, machine learning & predictive analysis.

The tool can be used for over a vast range of applications including for business applications, commercial applications, training, education, research, application development, machine learning.

Rapid Miner offers the server as both on premise & in public/private cloud infrastructures. It has a client/server model as its base. Rapid Miner comes with template based frameworks that enable speedy delivery with reduced number of errors (which are quite commonly expected in manual code writing process).

Rapid Miner constitutes of three modules, namely

  1. Rapid Miner Studio: This module is for workflow design, prototyping, validation etc.
  2. Rapid Miner Server: To operate predictive data models created in studio
  3. Rapid Miner Radoop: Executes processes directly in the Hadoop cluster to simplify predictive analysis.

Click RapidMiner official website.

#3) Orange 

Orange Logo

Availability: Open source

Orange is a perfect software suite for machine learning & data mining. It best aids the data visualization and is a component based software. It has been written in Python computing language.

As it is a component-based software, the components of orange are called ‘widgets’. These widgets range from data visualization & pre-processing to an evaluation of algorithms and predictive modeling.

Widgets offer major functionalities like

  • Showing data table and allowing to select features
  • Reading the data
  • Training predictors and to compare learning algorithms
  • Visualizing data elements etc.

Additionally, Orange brings a more interactive and fun vibe to the dull analytic tools. It is quite interesting to operate.

Data coming to Orange gets quickly formatted to the desired pattern and it can be easily moved where needed by simply moving/flipping the widgets. Users are quite fascinated by Orange. Orange allows users to make smarter decisions in short time by quickly comparing & analyzing the data.

Click Orange official website.

#4) Weka 

Weka Logo

Availability: Free software

Also known as Waikato Environment is a machine learning software developed at the University of Waikato in New Zealand. It is best suited for data analysis and predictive modeling. It contains algorithms and visualization tools that support machine learning.

Weka has a GUI that facilitates easy access to all its features. It is written in JAVA programming language.

Weka supports major data mining tasks including data mining, processing, visualization, regression etc. It works on the assumption that data is available in the form of a flat file.

Weka can provide access to SQL Databases through database connectivity and can further process the data/results returned by the query.

Click WEKA official website.

#5) KNIME 

Knime Logo

Availability: Open Source

KNIME is the best integration platform for data analytics and reporting developed by AG. It operates on the concept of the modular data pipeline. KNIME constitutes of various machine learning and data mining components embedded together.

KNIME has been used widely for pharmaceutical research. In addition, it performs excellently for customer data analysis, financial data analysis, and business intelligence.

KNIME has some brilliant features like quick deployment and scaling efficiency. Users get familiar with KNIME in quite lesser time and it has made predictive analysis accessible to even naive users. KNIME utilizes the assembly of nodes to pre-process the data for analytics and visualization.

Click KNIME official website.

#6) Sisense 

Sisense Logo

Availability: Licensed

Sisense is extremely useful and best suited BI software when it comes to reporting purposes within the organization. It is developed by the company of same name ‘Sisense’. It has a brilliant capability to handle and process data for the small scale/large scale organizations.

It allows combining data from various sources to build a common repository and further, refines data to generate rich reports that get shared across departments for reporting.

Sisense got awarded as best BI software is 2016 and still, holds a good position.

Sisense generates reports which are highly visual. It is specially designed for users that are non-technical. It allows drag & drop facility as well as widgets.

Different widgets can be selected to generate the reports in form of pie charts, line charts, bar graphs etc. based on the purpose of an organization. Reports can be further drilled down by simply clicking to check details and comprehensive data.

Click Sisense official website.

#7) SSDT (SQL Server Data Tools) 

Availability: Licensed

SSDT is a universal, declarative model that expands all the phases of database development in the Visual Studio IDE. BIDS was the former environment developed by Microsoft to do data analysis and provide business intelligence solutions. Developers use  SSDT transact- a design capability of SQL, to build, maintain, debug and refactor databases.

A user can work directly with a database or can work directly with a connected database, thus, providing on or off-premise facility.

Users can use visual studio tools for development of databases like IntelliSense, code navigation tools, and programming support via C#, visual basic etc. SSDT provides Table Designer to create new tables as well as edit tables in direct databases as well as connected databases.

Deriving its base from BIDS, which was not compatible with Visual Studio2010, the SSDT BI came into existence and it replaced BIDS.

Click SSDT official website.

#8) Apache Mahout 

Apache Mahout Logo

Availability: Open source

Apache Mahout is a project developed by Apache Foundation that serves the primary purpose of creating machine learning algorithms. It focuses mainly on data clustering, classification, and collaborative filtering.

Mahout is written in JAVA and includes JAVA libraries to perform mathematical operations like linear algebra and statistics. Mahout is growing continuously as the algorithms implemented inside Apache Mahout are continuously growing. The algorithms of Mahout have implemented a level above Hadoop through mapping/reducing templates.

To key up, Mahout has following major features

  • Extensible programming environment
  • Pre-made algorithms
  • Math experimentation environment
  • GPU computes for performance improvement.

Click Mahout official website.

#9) Oracle Data Mining

Oracle Data Mining Logo

Availability: Proprietary License

A component of Oracle Advance Analytics, Oracle data mining software provides excellent data mining algorithms for data classification, prediction, regression and specialized analytics that enables analysts to analyze insights, make better predictions, target best customers, identify cross-selling opportunities & detect fraud.

The algorithms designed inside ODM leverage the potential strengths of Oracle database. The data mining feature of SQL can dig data out of database tables, views, and schemas.

The GUI of Oracle data miner is an extended version of Oracle SQL Developer. It provides a facility of direct ‘drag & drop’ of data inside the database to users thus giving better insight.

Click Oracle Data Mining official website.

#10) Rattle

Availability: Open source

Rattle is GUI based data mining tool that uses R stats programming language. Rattle exposes the statistical power of R by providing considerable data mining functionality. Although Rattle has an extensive and well-developed UI, it has an inbuilt log code tab that generates duplicate code for any activity happening at GUI.

The data set generated by Rattle can be viewed as well as edited. Rattle gives the additional facility to review the code, use it for numerous purposes and extend the code without restriction.

Click Rattle official website.

#11) DataMelt

Data Melt Logo

Availability: Open source

DataMelt, also known as DMelt is a computation and visualization environment that provides an interactive framework to do data analysis and visualization. It is designed mainly for engineers, scientists & students.

DMelt is written in JAVA and it is a multi-platform utility. It can run on any operating system which is compatible with JVM(Java Virtual Machine).

It contains Scientific & mathematical libraries.

Scientific libraries: To draw 2D/3D plots.

Mathematical libraries: To generate random numbers, curve fitting, algorithms etc.

DataMelt can be used for analysis of large data volumes, data mining, and stat analysis. It is widely used in the analysis of financial markets, natural sciences & engineering.

Click DataMelt official website.

#12) IBM Cognos 

IBM Cognos Logo

Availability: Proprietary License

IBM Cognos BI is an intelligence suite owned by IBM for reporting and data analysis, score carding etc. It consists of sub-components that meet specific organizational requirements Cognos Connection, Query Studio, Report Studio, Analysis Studio, Event studio & Workspace Advance.

  • Cognos Connection: A web portal to gather and summarize data in scoreboard/reports.
  • Query Studio: Contains queries to format data & create diagrams.
  • Report Studio: To generate management reports.
  • Analysis Studio: To process large data volumes, understand & identify trends.
  • Event Studio: Notification module to keep in sync with events.
  • Workspace Advanced: User-friendly interface to create personalized & user-friendly documents.

Click Cognos official website.

#13) IBM SPSS Modeler

IBM SPSS Modeler Logo

Availability: Proprietary License

IBM SPSS is a software suite owned by IBM that is used for data mining & text analytics to build predictive models. It was originally produced by SPSS Inc. and later on acquired by IBM.

SPSS Modeler has a visual interface that allows users to work with data mining algorithms without the need of programming. It eliminates the unnecessary complexities faced during data transformations and to make easy to use predictive models.

IBM SPSS comes in two editions, based on the features

  • IBM SPSS Modeler Professional
  • IBM SPSS Modeler Premium- contains additional features of text analytics, entity analytics etc.

Click SPSS Modeler official website.

#14) SAS Data Mining

SAS Data Mining Logo

Availability: Proprietary License

Statistical Analysis System (SAS) is a product of SAS Institute developed for analytics & data management. SAS can mine data, alter it, manage data from different sources and perform statistical analysis. It provides a graphical UI for non-technical users.

SAS data miner enables users to analyze big data and derives accurate insight to make timely decisions. SAS has a distributed memory processing architecture which is highly scalable. It is well suited for data mining, text mining & optimization.

Click SAS official website.

#15) Teradata

Teradata Logo

Availability: Licensed

Teradata is often called Teradata database. It is an enterprise data warehouse that contains data management tools along with data mining software. It can be used for business analytics.

Teradata is used to have an insight of company data like sales, product placement, customer preferences etc. it can also differentiate between ‘hot’ & ‘cold’ data, which means that it puts less frequently used data in a slow storage section.

Teradata works on ‘share nothing’ architecture as it has its server nodes have their own memory & processing ability.

Click Teradata official website.

#16) Board

Board Logo

Availability: Proprietary License

Board is often referred as Board toolkit. It is a software for Business Intelligence, analytics, and corporate performance management. It is a best-suited tool for companies looking to improve decision making. Board gathers data from all the sources and streamlines the data to generate reports in the preferred format.

Board is having most attractive and comprehensive interface among all BI software in the industry. Board provides facility to perform multi-dimensional analysis, control workflows and track performance planning.

Click Board official website.

#17) Dundas BI

Dundas Logo

Availability: Licensed

Dundas is another excellent dashboard, reporting & data analytics tool. Dundas is quite reliable with its rapid integrations & quick insights. It provides unlimited data transformation patterns with attractive tables, charts & graphs.

Dundas BI provides a fantastic feature of data accessibility from across many devices with a gap-free protection of documents.

Dundas BI puts data in well-defined structures in a specific manner in order to ease the processing for the user. It constitutes of relational methods that facilitate multi-dimensional analysis and focuses on business-critical matters. As it generates reliable reports, thus it reduces cost and eliminates the requirement of other additional software.

Click Dundas BI official website.

In addition to above mentioned top 15 tools, there are few other tools that hit the top list quite closely and are top candidates to be mentioned along with Top 15.

Additional Tools

#18) Intetsoft

Intetsoft is analytics dashboard and reporting tool that provides iterative development of data reports/views & generates pixel perfect reports.

Click IntetSoft official website.

#19) KEEL 

KEEL stands for Knowledge Extraction based on Evolutionary Learning. It is a JAVA tool to perform different data discovery tasks. It is GUI based.

Click KEEL official website.

#20) R Data mining 

R is a free software environment to perform statistical computing & graphics. It is widely used in academia, research, engineering & industrial applications.

Click R DataMining official website.

#21) H2O 

H2O is another excellent open source software to conduct big data analysis. It is used to perform data analysis on the data held in cloud computing application systems.

Click H2O official website.

#22) Qlik Sense 

Qlik Sense is a BI system with a beautiful interface that is user fascinating. It has advanced features incorporated into it as well. It provides data integration by combining multiple data sources and performing analysis on them.

Click Qlik Sense official website.

#23) Birst 

Birst is a web-based BI solution which connects different teams that participate in taking informed decisions. It provides a centralized environment to decentralized users to expand data model without risking data governance.

Click Birst official website.

#24) ELKI 

An open source software that focuses on algorithm research and cluster analysis. ELKI is written in JAVA. It provides a large collection of algorithms to allow easy evaluation.

Click ELKI official website.

#25) SPMF 

Specialized in pattern mining, SPMF is an open source data mining library. It is written in JAVA.

It contains data mining algorithms that easily integrate with other Java software.

Click SPMF official website.

#26) GraphLab 

GraphLab is high performance, graph-based computation software written in C++. It is used to carry out a wide range of data mining tasks.

Click GraphLab official website.

#27) Mallet 

Mallet is an apt tool for natural language processing, cluster analysis, classification, and data extraction. Is it a JAVA-based open source software.

Click Mallet official website.

#28) Alteryx 

Alteryx is a platform to gather, refine & analyze the data. It provides drag and drop tools to build analytical workflows.

Click Alteryx official website.

#29) Mlpy 

Mlpy stands for Machine learning python. It provides wide machine learning methods for problems and aims at finding a reasonable solution. It is a multi-platform & open-source software. It works with Python.

Click Mlpy official website.


Before making the final decision about which data mining tool to buy, the user should dig down into the business requirement. Questions like does the tool meet customer behavior?

Does it contribute towards increasing efficiency? Does it align with system & management? Will it bring some value-adds never experienced before? It should be well considered and after finding suitable answers to all these queries only should user proceed with making the decision.

Do you think we missed out on any of your favorite tools?  

=> Contact us to suggest a listing here.