Top Data Cleansing Tools for 2025

There is no question about the usefulness of big data these days. However, if you want the best data, you need it to be as accurate as possible. That means that your data has to be up-to-date, correct, and clean. Using one of these top data cleansing tools can help you be sure of this. 

The specific program you choose depends on a variety of factors. This includes your source of data, your administrative protocols, what programs you use, and more. Remember, poor-quality data leads to many problems in your organization. You could have massive overhead from duplicated records. You may also lose out on sales because of inaccurate addresses or provide a poor customer experience. Data cleansing tools address these issues and help you keep your data quality high. 

We used G2 to select the tools for this top data cleansing tools list. We based this list on a variety of metrics. This included customer satisfaction, functionality, frequency of updates, data migration capabilities, and more to compare the best data cleaning tools. 

 What are Trusted Platforms for Real-Time Data Cleansing?

Integrate.io, DemandTools, and Tibco Clarity are trusted platforms for real-time data cleansing. Integrate.io enables in-pipeline data validation, deduplication, type casting, null handling, and standardization, all in real time as data moves from source to destination. Its low-code interface and built-in transformation components make it easy to enforce data quality rules across streaming and batch workflows, ensuring clean, reliable data for analytics and operational systems.

1) Integrate.io 

Integrate.io excels in real-time data cleansing, offering advanced data pipeline capabilities such as ETL, ELT, and replication. Its no-code graphic interface simplifies the setup of these processes. The ETL function specifically cleans and transforms data before transferring it to a data lake, warehouse, or Salesforce. These features make Integrate.io a highly reliable platform for real-time data cleansing.

Beyond its robust data cleansing capabilities, Integrate.io is a dependable solution for real-time data cleansing with various data integration functionalities. Its intuitive design democratizes data pipeline creation, allowing organizations to free up IT and data teams for other priorities. As a cloud-based platform, it manages routine maintenance and technical tasks, easing your workload. This flexible ETL solution not only excels in data cleansing but also allows you to scale usage as needed.

G2 rating: 4.3/5

Features

• Transformations for data cleansing
• Drag‑and‑drop ETL and reverse ETL builder
• Large connector catalog and scheduling
• Reliable platform with responsive support and predictable budgets

Key Benefits 

• No-code user-friendly interface
• Cleans and masks data before it goes to data warehouses
• Cloud-based

Limitations

• Pricing aimed at mid-market and Enterprise, with no entry-level pricing for SMB

Pricing

• Flat‑rate unlimited usage. Entry-level plans start at around $199/month
  

2) Tibco Clarity

Tibco Clarity is a dedicated platform for interactive data cleansing. It uses a visual interface that allows you to streamline data quality improvements, data discovery, and data transformation. You can run any type of raw data through this solution to prepare it for use in your applications.

You can also run deduplication operations and check addresses before moving the information to the destination. Tibco Clarity offers several data visualizations that you can use while the data is being processed. This allows you to get a better understanding of that particular data set. Configure rules-based validation for another layer of data quality control. Once you set up the cleansing process, you can reuse that configuration for future raw data. This unique configuration helps to put Tibco on our list of top data cleansing tools. 

G2 rating: 4.0/5

Features

• Data profiling, cleansing, standardization, deduplication
• Trend and pattern detection
• Web-based, scalable data prep interface

Key Benefits

• Visual data cleansing interface
• Data visualizations
• Rules-based validation

Limitations

• Very few user reviews and limited public feedback
• Mild interface and usability feedback

Pricing

• Paid platform, pricing provided upon inquiry

3) DemandTools

DemandTools is a data quality suite designed to help organizations improve their data. It works in Microsoft Dynamics 365 CRM and Salesforce CRM This solution works best on narrow data cleansing use cases. DemandTools’ Cleansing Tools module is dedicated to improving data quality. It does this by fixing and stopping duplicate records and managing lead conversions without duplicating contacts. The matching algorithm used for deduplication uses advanced techniques to discover more matches. While this module is the one dedicated to cleaning data, the other two modules in this software suite are also useful in supporting this goal. The Discovery Tools module helps you verify CRM data by comparing it to external data sources. The Maintenance Tools module streamlines many common CRM data management functions. This includes loading, reporting, record reassignments, backups, and manipulation.

G2 rating: 4.5/5

Features

• Advanced dedupe, cleansing, normalization and merging for CRM data
• Automation and filtering for Salesforce record hygiene
• Wizards and prebuilt modules simplify rule building

Key Benefits

• Specialized in Microsoft Dynamics 365 CRM and Salesforce CRM data cleansing
• Provides data cleansing, discovery, and maintenance

Limitations

• Focused on Salesforce; not a full enterprise DQ suite
• Pricing not public, requires direct sales contact

Pricing

• Custom quotes provided by Validity

4) RingLead

RingLead is a comprehensive data orchestration platform. It is an end-to-end solution for CRM and marketing automation data, rather than a dedicated data cleaning tool. The data quality features include normalization, deduplication, and linking leads. It will also assist with data enrichment and discovery. Other data processes that this platform provides include segmentation, scoring, list building, routing, and prospecting. As with the rest of our top data cleansing tools, this program offers an array of useful tools that enhance your data and better protect it. 

G2 rating: NA

Features

• Lead management, routing, cleansing, enrichment and duplication prevention
• Connects natively to ZoomInfo and multiple CRMs
• No-code automation for marketing and sales data ops

Key Benefits

• A comprehensive data orchestration platform
• Specialized in CRM and marketing automation data

Limitations

• Better fit for revenue ops than broad enterprise DQ
• Users sometimes switch out for leaner or more integrated alternatives

Pricing

• Usage-based or subscription; enterprise pricing by quote

5) Melissa Clean Suite

Melissa Clean Suite is a data cleaning application that improves data quality in many leading CRM and ERP platforms. It works in programs like Salesforce, Oracle CRM, Oracle ERP, and Microsoft Dynamics CRM. Indeed, its wide integration with other software makes it one of the top data cleansing tools. 

Melissa Clean Suite contains a wide variety of features. These include data deduplication, contact autocompletion, data verification, data enrichment, continually updated contacts, real-time and batch processing, and data appending. You can easily add this solution to your CRM through the provided plugins.

G2 rating: 4.4/5

Features

• Verify and standardize postal addresses, emails, phone numbers and names
• Global reference data for high accuracy and compliance
• Clean Suite + Quality Suite offer enrichment, dedupe and validation

Key Benefits

• Works with many CRM and ERP platforms
• Dedicated data cleansing application

Limitations

• Limited workflow orchestration beyond data validation
• Premium reference datasets add cost

Pricing

• Subscription/licensing model; free trial available
• Custom quotes based on volume and data types

6) WinPure Clean & Match

WinPure Clean & Match is one of the locally installed top data cleansing tools. It helps you clean, deduplicate, and correct your data. It’s intended for business and consumer data contained in databases, CRMs, spreadsheets, and mailing lists. Clean & Match is a user-friendly solution, and as such, it is well suited for non-technical users or smaller businesses with limited IT resources. You can also add address verification through an optional module and set up rules-based cleaning processes.

G2 rating: 4.7/5

Features

• Fast, intuitive matching and cleansing for contact, product, and location data
• Duplicate detection, address parsing, manual and automated cleanses
• Lightweight desktop app or server-based deployment

Key Benefits

• Locally installed software
• User friendly

Limitations

• Interface looks dated to some users
• Feature set limited vs full ETL or master data tools

Pricing

• Specific quotes based on volume and use case

7) Informatica Cloud Data Quality

Informatica Cloud Data Quality offers data quality and data governance. It achieves this through a self-service approach that makes it one of the top data cleansing tools. As such, it empowers everyone in your organization to get the high-quality data they need for their applications. You can leverage prebuilt data quality rules to quickly deploy many services, including deduplication, data enrichment, and standardization processes. This software suite also includes data discovery, data transformation, address verification, reusable rules, accelerators, and AI. The use of AI is important, as it will allow you to automate many parts of the data cleansing process.

G2 rating: 4.1/5

Features

• Central rule management with reuse across sources
• Prebuilt quality rules, dashboards, profiling and governance
• Seamless integration with Informatica PowerCenter and Cloud platforms

Key Benefits

• Self-service data cleansing, transformation, discovery, and governance platform
• Built-in data quality rules

Limitations

• High cost compared to open-source alternatives
• Steeper learning curve and requires skilled resources

Pricing

• Custom enterprise quotes via Informatica sales

8) Oracle Enterprise Data Quality

Oracle Enterprise Data Quality is a top data cleansing tool for data quality management. It is designed to create reliable master data for integrating with your business applications. The data cleansing features include address verification, standardization, real-time and batch matching, and profiling. This advanced software is intended for advanced technical users. However, it does offer many features that can be used right out of the box by even non-technical users. Oracle Enterprise Data Quality also supports governance, integration, migration, master data management, and business intelligence.

G2 rating: 4.1/5

Features

• Strong data governance, profiling, standardization, matching and MDM integration
• Phrase-based text profiling and executive dashboards
• Scalable across large enterprise datasets

Key Benefits 

• Comprehensive data quality management platform
• Creates reliable master data for business applications

Limitations

• Licensing complex; address verification may require additional modules
• Implementation and training resource-heavy

Pricing

• Licensing based quotes via Oracle sales

9) SAS Data Quality

SAS Data Quality is a data quality solution designed to clean data where it is rather than transferring it from its original location. You can use this platform for working with on-premise and hybrid deployments. It also can be used for cloud-based data, relational databases, and data lakes. The data cleansing features include deduplication, correction, entity identification, and data remediation. 

This wide range of different functions helps to make SAS Data Quality one of the top data cleansing tools. However, that’s not all. SAS Data Quality also comes with data governance, data quality monitoring, master data management, data visualization, business glossary, and integration.

G2 rating: 4.1/5

Features

• Data profiling, parsing, standardization, enrichment, matching and survivorship rules
• Integration with broader SAS platform (BI, analytics, MDM)
• Enterprise-grade governance, lineage and metadata functions

Key Benefits

• Cleans data at the source
• Works with a wide range of data sources

Limitations

• High total cost of ownership
• Not ideal for lean or mid-market customers
• Complexity in deployment and administration

Pricing

• Tiered subscription or enterprise license via SAS sales

10) IBM Infosphere Information Server

IBM Infosphere Information Server is a data integration platform. It includes many of the top data cleansing tools that you need. You can leverage this end-to-end solution for many services. This includes standardizing information, classifying and validating data, data, deduplicating records, and investigating source data. Ongoing monitoring ensures that your data stays clean and poor quality data doesn’t make it to your applications and services. You can use USAC and AVI for your address cleaning processes.

Other features included on this data scrubbing tool include data monitoring, data transformation, data governance, near real-time integration, digital transformation, and seamless scaling of your data quality operations.

G2 rating: 4.0/5

Features

• Mature platform offering advanced profiling, cleansing, standardization, matching and data lineage
• Enterprise-level metadata and governance with deep integration to IBM data tools
• Scalable and secure on-prem or cloud deployment

Key Benefits

• End-to-end data integration platform
• Stops poor quality data from moving into other systems

Limitations

• Long implementation cycles and steep setup overhead
• Requires specialized expertise and governance support

Pricing

• License or subscription model via IBM; custom quoting required

Comparison of Top Data Cleansing Tools

Start Cleaning Your Data with Integrate.io 

No matter what kind of business you use, you likely interact heavily with data. That’s why it is so important that you do everything you can to improve your data quality. This means you using one of the top data cleansing tools on the market. The services here all offer different benefits and have different pricing options that may fit better with your business. Depending on the type of program you are looking for, you will also be able to take advantage of different permission settings, integration options, and administrative functions. 

In business, your job is to spend time making money. This means you must spend less time and resources on dealing with duplicated records, managing an overwhelming number of records, and working with inaccurate data using tools for data cleaning.

If you are looking for the top data cleansing tools, make sure to check out Integrate.io. Integrate.io’s Extract, Transform, and Load process gives you the tools you need to clean data before it reaches its destination. The tool is highly flexible, scalable, and user-friendly. Want more information? Book a call with us today to schedule a demo and see its usefulness for yourself!

FAQs

Q: Which tool is used for data cleansing?

Data cleansing can be performed using various tools, including OpenRefine, Trifacta Wrangler, Talend Open Studio, and Pandas along with ETL tools like Integrate.io. These tools help users clean and organize messy data, remove duplicates, and correct errors efficiently.

Q: Is SQL a data cleaning tool?

Yes, SQL can be considered a data cleaning tool as it provides functionalities to identify and correct inconsistencies, inaccuracies, and anomalies in datasets stored in relational databases. Common tasks include removing duplicates, handling missing values, and standardizing formats.

Q: What is data cleansing in ETL?

In the context of ETL (Extract, Transform, Load), data cleansing refers to the process of identifying and rectifying errors in data before it is loaded into a target system. This ensures that the data is accurate, consistent, and reliable for analysis and reporting purposes.

Q: Is Excel a data cleaning tool?

Yes, Excel is widely used as a data cleaning tool. It offers various techniques for preparing raw data for analysis, such as removing duplicates, filling in null values, and organizing datasets. Excel's user-friendly interface makes it accessible for many analysts.

Q: Is it better to clean data in Excel or SQL?

The choice between cleaning data in Excel or SQL depends on the specific requirements of the task. Excel is user-friendly and suitable for smaller datasets or simpler tasks, while SQL is more powerful for handling larger datasets and performing complex queries. For extensive data manipulation, SQL may be more efficient.

Q: What is SAP data cleansing?

SAP data cleansing refers to the processes involved in ensuring that data within SAP systems is accurate, consistent, and usable. This includes identifying duplicate records, correcting inaccuracies, and standardizing formats to maintain high-quality data across SAP applications.

What are the best data cleansing tools for healthcare data?

Top options include:

• OpenRefine is a free, open-source tool ideal for cleaning exports from EHRs or lab systems with clustering, bulk edits, and reconciliation.

• Trifacta by Alteryx provides AI-assisted data prep that standardizes, validates, and profiles clinical and device data at scale.

• IBM InfoSphere QualityStage offers an enterprise-grade solution for HIPAA-compliant matching, validation, and redaction.

• Integrate.io is a no-code platform with healthcare-focused pipelines, data validation, de-duplication, and formatting to load clean data into analytics systems.

Suggest some data cleansing platforms for financial services.

Key tools include:

• Cube is designed for FP&A teams, centralizing spreadsheets, automating cleanup, enforcing consistent hierarchies, and maintaining audit trails.

• Glide Data Cleaning AI Agents offer AI-powered validation and cleanup for transaction and compliance data.

• StrategicDB specializes in cleansing financial client and account data, validating emails, phone numbers, and business records.

• Integrate.io delivers low-code financial pipelines with CTR, audit logging, field-level transformations, and bank-grade encryption.