19 Best Data Mining Tools – Open Source Tools & Techniques
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1. Objective
After Data Mining Techniques Tutorial, here, we will discuss the best Data Mining Tools. Also, we will try to cover the top and best Data Mining Tools and techniques. Moreover, we will mention for each tool whether the tool is open source or not.
So, let’s start Data Mining Tools.
What is Data Mining Tools
2. Data Mining Tools
i. Rapid Miner
 Availability: Open source
Data Mining Tools – Rapid Miner
It is one of the best predictive analysis systems. Also, it was 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.
The tool can be used for over a vast range of applications. As it includes for business applications, commercial applications, training, education, etc.
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. Also, it enables speedy delivery with a reduced number of errors.
Rapid Miner constitutes of three modules, namely
R.M Studio- This module is for workflow design, prototyping, validation etc.
Rapid Miner Server- To operate predictive data models created in studio
R.M Radoop- Executes processes directly in Hadoop cluster to simplify predictive analysis.
ii. Orange
Availability: Open source
Data Mining Tools – Orange
Orange is a perfect software suite for machine learning & data mining. It best aids the data visualization and is a component-based software.
As it is a software, the components of orange are called ‘widgets’.
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, it brings a more interactive and fun vibe to the dull analytic tools. It is quite interesting to operate.
iii. Weka
Availability: Free software
Data Mining Tools – Weka
This 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.
iv. KNIME
Availability: Open Source
Data Mining Tools – KNIME
KNIME is the best integration platform for data analytics. Also reporting developed by KNIME.com AG. It operates on the concept of the modular data pipeline. KNIME constitutes of various machine learning and data mining components embedded together.
It has been used for pharmaceutical research. In addition, it performs for customer data analysis, financial data analysis.
KNIME has some brilliant features like quick deployment and scaling efficiency. Users get familiar with KNIME in quite lesser time. Also, it has made predictive analysis accessible to even naive users.
v. Sisense
Availability: Licensed
Data Mining Tools – Sisense
Sisense is extremely useful and best suited BI software. That 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. Also, process data for the small-scale/large scale organizations.
It allows combining data from various sources to build a common repository. Further, refines data to generate rich reports. That gets 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.
vi. SSDT (SQL Server Data Tools)
Availability: Licensed
SSDT is a universal, declarative model. We use this model to expands all the phases of database development in the Visual Studio IDE. And developed to do data analysis and provide business intelligence solutions. Developers use SSDT transact- a design capability of SQL and refactor databases.
A user can work directly with a database. It can work with a connected database, thus, providing on or off-premise facility.
Users can use visual studio tools for development of databases. Like IntelliSense, visual basic. SSDT provides Table Designer to create new tables. Also, edit tables in direct databases as well as connected databases.
Deriving its base from BIDS, which was not compatible with Visual Studio2010. Also, the SSDT BI came into existence and it replaced BIDS.
vii. Apache Mahout
Availability: Open source
Data Mining Tools – Apache Mahout
Apache Mahout is a project developed by Apache Foundation. Also, it 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. Such as linear algebra and statistics. Mahout is growing continuously as the algorithms implemented inside Apache Mahout. The algorithms of Mahout have implemented a level above Hadoop. Also. it is 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
viii. Oracle Data Mining
Availability: Proprietary License
Data Mining Tools – Oracle
A component of Oracle Advanced Analytics, it software provides excellent data mining algorithms.
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 a version of Oracle SQL Developer. It provides a facility of direct ‘drag & drop’ of data. That is inside the database to users thus giving better insight.
ix. Rattle
Availability: Open source
A rattle is a GUI 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. Also, it has an inbuilt log code tab that generates duplicate code for any activity happening at GUI.
The dataset generated by Rattle can be viewed as well as edited. Rattle gives the extra facility to review the code. Also, use it for numerous purposes and extend the code without restriction.
x. DataMelt
Availability: Open source
Data Mining Tools – DataMelt
DataMelt, also known as DMelt is a computation and visualization environment. Also, provides an interactive framework to do data analysis and visualization. It is designed mainly for engineers, scientists & students.
DMelt 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.
We use DataMelt for analysis of large data volumes, data mining, and stat analysis. It is widely used in the analysis of financial markets, natural sciences & engineering.
xi. IBM Cognos
Availability: Proprietary License
Data Mining Tools – IBM Cognos
IBM Cognos BI is an intelligence suite. It consists of sub-components that meet specific organizational requirements.
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.
xii. IBM SPSS Modeler
Availability: Proprietary License
Data Mining tools – IBM SPSS
IBM SPSS is a software suite owned by IBM. Also, we use it 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. Also, it allows users to work with data mining algorithm. Although, without the need for 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
It’s Modeler Professional
IBM SPSS Modeler Premium- contains additional features of text analytics, entity analytics etc.
xiii. SAS Data Mining
Availability: Proprietary License
Data Mining Tools – SAS
Statistical Analysis System (SAS) is a product of SAS Institute. It was developed for analytics & data management. SAS can mine data, alter it, manage data from different sources. Also, perform statistical analysis. It provides a graphical UI for non-technical users.
SAS data miner enables users to analyze big data. And also 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.
xiv. Teradata
Availability: Licensed
Data Mining Tools – TeraData
Teradata is often called Teradata database. It is an enterprise data warehouse. Also, it contains data management tools along with data mining software. We can use it for business analytics.
We use Teradata as an insight of company data. Such as sales, product placement, customer preferences. It can also differentiate between ‘hot’ & ‘cold’ data. Hence, it 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.
xv. Board
Availability: Proprietary License
Data Mining Tools – Board
Board is often referred as Board toolkit. It is a software for Business Intelligence, analytics, and corporate performance management. It is the best tool for companies looking to improve decision making. Board gathers data from all the sources. Also, streamlines the data to generate reports in the preferred format.
Board is having most attractive and comprehensive interface. That it is among all BI software in the industry. Board provides facility to perform multi-dimensional analysis, control workflows and track performance planning.
xvi. Dundas BI
Availability: Licensed
Data Mining Tools – Dundas
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. That is from across many devices with a gap-free protection of documents.
Dundas BI puts data in well-defined structures. Also, in a specific manner to ease the processing for the user. It constitutes of relational methods that facilitate multi-dimensional analysis. And focuses on business-critical matters.
xvii. Python
Data Mining Tools – Python
As a free and open source language, Python is most often compared to R for ease of use. Many users find that they can start building data sets. And doing complex affinity analysis in minutes. The most common business-use case-data visualizations are straightforward. Although, till you are comfortable with basic programming concepts. Such as variables, data types, functions, conditionals, and loops.
xviii. Spark
Data Mining Tools – Spark
The attraction of Spark is plowing through vast oceans of data center traffic with ease. park jobs run by Python. If you’re moving into a big data, you’ll need to know Spark. As it is one of the best open source data mining tools to deal with massive amounts of data.
xix. H20
Data Mining Tools – H2O
If you want to get out on the cutting edge, start learning H2O. Also, it’s been installed thousands of times, with applications for fraud detection. Like R, it has a very active and enthusiastic user community that’s propelling its growth.
3. Conclusion
As a result, we have studied Data Mining Tools and Techniques are Rapid Miner, Orange, Weka, KNIME, Sisense, SSDT, Apache Mahout, Oracle Data Mining, Rattle, DataMelt, IBM Cognos, IBM SPSS Modeler, SAS Data Mining, Teradata, Board, Dundas BI, Python, Spark, and H20. Also, it’s availability and information in detail. I hope this will help you to study in the best way. Furthermore, if you feel any query, feel free to ask in a comment section.
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