The Top 10 Data Mining Tools in 2025

With global big data market revenue projected to hit $103 billion by 2027, there is no doubt that data mining has become essential for businesses of all sizes.

Businesses use data mining to analyze large data sets and identify meaningful patterns and relationships that help them make educated decisions and operational adjustments.

Using data mining tools effectively can lead to enhanced business performance, increased productivity, and better decision making. Organizations can also understand consumer needs better and improve customer relationships by making sense of data.

Below, we discuss a list of the best data mining tools to consider incorporating into your data mining strategy in 2025.

• Top 3 data mining tools
• Alternative data mining tools

Top 3 data mining tools

Data mining tools can provide an accurate understanding of your company’s data, leading to better decision making and strategies. Here are our top three picks.

RapidMiner

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RapidMiner is open-source data mining software for machine learning, deep learning, data engineering, model building, and predictive analytics.

RapidMiner provides an intuitive drag-and-drop interface with pre-built models that enable users to easily create, visualize, and explain workflows to identify meaningful data patterns and trends.

Depending on your skills and experience, choose between code-based, visual, and automated model creation modes. RapidMiner is a great data mining tool for all levels, from non-programmers to experts in the data mining space.

Programmers can also use the Python scripting extension to embed Python code into RapidMiner workflows.

Features

• 1,500+ algorithms and functions
• Pre-built templates for common use cases
• Drag-and-drop workflows
• Intuitive interface with three creation modes
• In-house database integration
• Interactive dashboards for better visualization

‍ Pricing

RapidMiner offers a free plan available for desktop computers, which includes 10,000 data rows and one logical processor. Sign up for the Enterprise platform to access the full product offering, including RapidMiner’s cloud platform.

• Professional. $7,500 per user per month
• Enterprise. $15,000 per user per month
• AI Hub. $54,000 per user per month

SAS Enterprise Miner

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SAS Enterprise Miner is a leading data mining software for preparing, analyzing, and modeling raw data. Developers, data scientists, marketers, and business leaders use it to provide insight and help businesses make informed decisions.

The platform offers an interactive graphical user interface (GUI) with end-to-end data preparation, summarization, and exploration capabilities. Users can create interactive reports and models through a highly visual model comparison interface.

SAS Enterprise Miner offers excellent support services through live chat, phone, and email. If you run into errors and problems, you can get answers from the growing SAS community of over 432,000 members or get in touch with technical support services.

Moreover, the platform offers free training to help you expand your knowledge through an extensive e-learning library, courses from experts, and hands-on video tutorials.

Features

• Interactive graphical user interface (GUI)
• Dynamic charts and graphs
• Extension node available for adding tools and personalized SAS code
• Server-based processing and storage
• Automatic predictive models (SAS Rapid Predictive Modeler)
• Open-source R integration node

Pricing

SAS Enterprise Mining offers a free software trial and demo so you can get to know the platform before committing to a purchase.

• Base license. $1,695 per year
• Additional licenses. $1,295 per year
• Remote deployment add-on. $495 per year (allows you to access the software remotely)
• Basic support. $995 per year (for one to five users) and $1,495 per year (for six to 15 users)

Zoho Analytics

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As a self-service Business Intelligence and Analytics platform, Zoho Analytics provides insights from large data sets through advanced data preparation, embedded analytics, self-service BI, and marketplace apps.

The platform is user-friendly, with an intuitive drag-and-drop interface, automated real-time insights, and predictive analytics. At the same time, the tool offers a robust API framework for a high degree of customization and platform extensibility.

Zoho Analytics offers a low total cost of ownership compared to other market players, which makes it a great tool for small and medium-sized businesses.

‍Features

• Intuitive drag-and-drop interface
• Analyzes data from 250+ sources and data warehouses
• 250+ transform functions for reshaping data
• Geo visualization with interactive map charts
• Get insights and suggestions from Zia, a smart Artificial Intelligence (AI) assistant
• Full control over access (e.g., read-only, read-write, report authoring, drill-down, export)

Pricing

Users can get started with a free plan that offers unlimited reports and dashboards for two users and a maximum of 10,000 rows.

• Basic. $22 per month
• Standard. $45 per month
• Premium. $112 per month
• Enterprise. $445 per month

Alternative data mining tools

If the above data mining tools don’t meet your requirements, keep reading below to learn more about other data mining tools to gauge your company’s data capabilities.

Oracle Data Miner

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Oracle Data Miner, an extension to Oracle SQL Developer, is data mining software that data analysts use to explore large data sets and build machine learning models.

Using descriptive and predictive models, users can identify customer behavioral patterns, discover customer segments and profiles, detect outliers in the results, and identify risks and opportunities.

Oracle Data Miner uses an interactive workflow editor with a drag-and-drop feature, which allows business analytics teams to create, develop, and share machine learning methodologies in less time.

The platform’s graphical workflows record each user’s analytical methodology during data exploration, which can be saved and shared with other members. This helps teams with the re-execution and automation of analytical methodologies.

‍Features

• Easy-to-use visual modeling environment
• Integration with Oracle Database environments
• Supports a workflow API for model deployment
• Workflow documentation for sharing and automation
• Creates SQL and PL/SQL scripts

Pricing

Contact support or visit the website for pricing information.

IBM SPSS Modeler

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IBM SPSS Modeler is a leading tool in the data space used for data preparation, predictive analysis, anomaly detection, model management, and deployment.

With IBM SPSS Modeler, business teams can create predictive models and identify patterns from data imported via multiple sources (e.g., text, flat files, relational databases, and Hadoop).

As a result, users can extract insights from structured data like databases and spreadsheets, as well as unstructured data such as customer feedback, email, and social media comments.

The intuitive graphical interface makes the platform easy for business users without a programming background, making it a great platform for beginners.

Features

• R and Python extensions for advanced modeling capabilities
• Options for scheduling jobs and configurations
• Handles both unstructured and structured data
• Smart chart recommendations for better data visualization
• Geospatial advanced analytics (e.g., latitude, longitude, postal codes)

Pricing

IBM SPSS Modeler offers a 30-day free plan that includes unlimited modeling without overages. You can also book a consultation with their support team or speak to a virtual agent if you have questions or considerations.

• IBM SPSS Modeler Subscription. Starting at $499 per authorized user per month
• IBM SPSS Modeler Professional. Contact for price
• IBM SPSS Modeler Gold. Contact for price

KNIME

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KNIME Analytics Platform is open-source software for end-to-end data analysis and machine learning. Teams across different industries—including retail and CPG, marketing analytics, finance departments, and the public sector—use it.

The platform’s intuitive interface and guide-based GUI tool allow business users to easily extract insights from data using the KNIME Analytics Platform and the KNIME Server.

Businesses use the KNIME Analytics Platform for accessing, transforming, and making sense of data, while KNIME Server is used for deploying data science.

For complex data sets and algorithms, users can access extensions and integrations maintained by either KNIME, their community, or their partners.

If you’re new to data mining, KNIME offers a plethora of learning materials to help you understand the data space and find solutions to your problems. You can even use the KNIME forum to get answers from a growing community of active data users.

Features

• Available on Microsoft Azure and Amazon AWS
• Exports reports as PDF and PowerPoint for stakeholder presentations
• Blends data from structured, unstructured, and time series sources
• Access to a community of data users and professionals
• Simple, drag-and-drop interface

Pricing

The KNIME Analytics Platform is open-source and can be downloaded for free. KNIME Server is companion software that offers additional features and is designed for team collaboration and data science management.

• KNIME Server Small. Buy directly on AWS or Azure
• KNIME Server Medium. $29,000 annual subscription (based on five users and four cores for execution)
• KNIME Server Large. $52,000 annual subscription (based on five users and four cores for execution)

Rattle

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Rattle is a free, open-source data mining tool using the R statistical programming language. With Rattle, users can capture all activities through the graphical user interface as an R script and easily execute in R outside of the platform.

Fifteen government departments in Australia and various organizations and enterprises worldwide use Rattle to analyze and transform large quantities of data, identify patterns, perform statistical analysis, and visualize results in the form of data models.

The repeatability and process transparency of Rattle makes it popular among data scientists, consultants, and researchers teaching the concepts of machine learning and R as a programming language for data analysis.

Features

• Interactive data visualization for data exploration
• User-submitted packages available for extended capabilities
• Uses the Gnome graphical user interface
• Operates under multiple operating systems (GNU/Linux, Macintosh OS/X, and MS/Windows)
• Multiple R packages available (e.g., e ada, arules, doBy, ellipse, fBasics, fpc, gplots, Hmisc)

Pricing

Rattle is free to use, and the source code is available from the Bitbucket git repository.

WEKA

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Waikato Environment for Knowledge Analysis (WEKA) is a Java-based, open-source platform licensed under the GNU General Public License.

From data cleaning to classification and visualization, WEKA supports different data mining tasks that allow users to perform advanced data analysis and predictive modeling.

WEKA is also equipped with built-in machine learning algorithms that lay the groundwork for hypothesis testing and deployment, without the need for coding.

Because of its built-in data analytics tools and access to popular toolboxes, WEKA is widely used among researchers and academics for educational purposes.

Features

• Access to multiple toolboxes (e.g., scikit-learn, R, and Deeplearning4j)
• Runs on all computing platforms
• Rich suite of visualization tools
• Easy-to-use graphical user interface (GUI)
• Access SQL databases using Java Database Connectivity

Pricing

Download the tool for free.

Apache Mahout

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Apache Mahout is an open-source platform for creating machine learning algorithms focused on linear algebra.

Built in Java, the platform uses the Apache Hadoop library for creating scalable machine learning algorithms (including distributed linear algebra, preprocessors, regression, clustering, and recommenders).

Apache Mahout also allows users to create and implement their own algorithms, making it a popular choice among statisticians, mathematicians, and data scientists.

Moreover, Apache Mahout can analyze large quantities of data effectively, which makes it a great data mining tool for complex, large-scale projects.

Features

• Ready-made algorithms
• Includes matrix and vector libraries
• Support for multiple distributed backends (e.g., Apache Spark)
• Runs on distributed systems
• GUI interface

Pricing

The Apache Mahout platform is free under the Apache license.

Teradata

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Teradata is a multi-cloud environment data mining tool enterprises use for fraud prevention, operational resilience, and digital identity management, among other uses.

Because of its multi-cloud connectivity, Teradata is a great tool for organizations looking for seamless data management and optimization solutions. At the same time, Teradata’s GUI-based system makes the platform easy to use, with no previous coding experience needed.

The platform is trusted by several global brands, including American Airlines, Unilever, Vodafone, and Volvo.

Features

• Handles up to 64 joins in a query
• Code and no-code options
• Supports all data types
• Runs on Unix/Linux/Windows server platform
• Available on cloud, hybrid multi-cloud, on-premises, and commodity hardware environments
• Easy to set up with a low total cost of ownership

Pricing

The cost of Teradata depends on the number of users, data set size, and payment terms (monthly or annually). Get an estimate from their official website.

Find even more value by working with a data mining expert

The amount of data being processed in today’s information age makes data mining an integral part of business operations.

As outlined in this article, several powerful data mining tools can collect, analyze, transform, and visualize data. However, implementing algorithms and running the correct models is often trickier than it sounds.

Upwork Talent Marketplace connects businesses to data mining experts with extensive skills and knowledge in the data space. And if you’re a data mining expert, join Upwork to find work in the data mining space.

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Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation. Prices are current at the time of writing and may change over time based on each service’s offerings.