Top Data Cleaning Tools for Data Science and Machine Learning Projects in 2022

Data cleaning is the crucial process of identifying and resolving broken, inaccurate, or unnecessary data. Data defects include missing numbers, misplaced entries, and typographical errors. This critical data processing stage increases the uniformity, dependability, and usability of a company’s data. 

Manually sifting through vast amounts of data is time-consuming and error-prone; therefore, data cleaning solutions, which systematically evaluate data for defects using rules, algorithms, and look-up tables, are becoming increasingly prevalent.

Let’s take a look at the Top Data Cleaning Tools that will help you get the most out of your data.

1. OpenRefine

OpenRefine is a well-known open-source data utility. Previously known as Google Refine, it enables you to convert data between different formats while ensuring that it is well-structured. It’s an excellent option for users looking for data cleansing tools and applications that are free and open source. It can also be used to parse data from the internet. Another significant advantage is that you can work with data on your machine, which is safe. OpenRefine supports more than 15 languages.

2. WinPure

WinPure is one of the most famous and cost-effective data cleansing solutions, effortlessly cleaning enormous amounts of data, removing duplicates, correcting, and standardizing. It can cleanse data from databases, CRMs, spreadsheets, and other sources, and it works with databases such as Access, SQL Server, Dbase, and Txt files. It is locally installed, thus ensuring maximum security. In addition, it’s available in four languages: English, German, Portuguese, and Spanish. The free version has many features, so it’s an excellent choice for small enterprises.

3. Trifacta Wrangler

It’s an interactive data cleaning and transformation tool. It helps data analysts to clean and prepare dirty data more quickly and correctly. It takes less time to format and concentrates on data analysis. Its machine learning algorithms aid data preparation by recommending common transformations and aggregations.

4. TIBCO Clarity

It is a data preparation tool that provides Software-as-a-Service (SaaS) on-demand software services via the web. It can be used to identify, profile, cleanse, and standardize raw data from various sources, resulting in high-quality data for accurate analysis and intelligent decision-making. 

5. Melissa Clean Suite

Melissa Clean Suite is a data cleaning solution that enhances data quality in Salesforce, Oracle CRM, Oracle ERP, and Microsoft Dynamics CRM, among other CRM and ERP platforms. Data deduplication, contact autocompletion, data verification, data enrichment, constantly updated contacts, real-time and batch processing, and data appending are some of the capabilities provided in Melissa Clean Suite.

6. Data Match Enterprise(Data Ladder):

Data Match Enterprise by Data Ladder is a data cleansing application with a visual interface. It was created to resolve data quality issues in datasets in bad shape. It offers a walkthrough interface to accompany you through the data process from start to finish. It is intuitive and easy to use. DataMatch Enterprise is a software toolbox for code-free profiling, cleansing, matching, and deduplication that intelligently integrates, links, and prepares data from nearly any source.

7. Drake

Drake is a data workflow tool for the command line that organizes command execution around data and dependencies. It features many inputs and outputs, as well as built-in HDFS support.

8. Demand Tools

DemandTools is a flexible and secure data management platform that allows users to clean and maintain CRM data in less time, ensuring report-ready data to improve the efficiency of your revenue operations. This solution is appropriate for delivering purpose-built solutions for these applications if you have a small data cleansing use case that focuses primarily on your CRM.

9. Quadient DataCleaner

Quadient Data Cleaner is a powerful data profiling engine that analyses data quality to help businesses make better decisions. It’s a powerful profiling engine that can use fuzzy logic to detect duplication and build a single version. The tool may discover missing values, patterns, character sets, and other properties in a data set to provide better results.

10. Cloudingo

Cloudingo automatically handles the manual work of keeping Salesforce data clean and manageable. Its simplicity, as well as the ability to delete unwanted and outdated entries, update records in bulk, and automate on a schedule, are just a few of its capabilities. It’s appropriate for businesses of all sizes when data is updated in bulk, and imported files are cleansed before being accessed by Salesforce.

11. RingLead

 RingLead is a detailed data orchestration platform, an end-to-end solution for CRM and marketing automation data. Normalization, duplicate prevention, deduplication, account linkage, data enrichment, and data discovery are some of the data quality attributes offered.

12. IBM InfoSphere Quality Stage

IBM InfoSphere QualityStage is a tool that can help organizations with data quality and information governance. It allows users to analyze, cleanse, and manage the data while ensuring that essential entities such as customers, vendors, locations, and goods have consistent views. For data warehousing, big data, application migration, business intelligence, and master data management projects, the solution assists businesses in delivering high-quality data.


Consultant Intern: Currently in her third year of B.Tech from Indian Institute of Technology(IIT), Goa. She is an ML enthusiast and has a keen interest in Data Science. She is a very good learner and tries to be well versed with the latest developments in Artificial Intelligence.

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