Best Data Quality Tools with Database Capabilities

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 252

Category Stats (Aug 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Data Quality Navigator (+3.87%) - Among all products in this category, Data Quality Navigator recorded the largest rating increase compared to last month

Last updated: August 04, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,200+ Authentic Reviews
  • 252+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Quality Tools

G2 Grid® for Data Quality Tools plotting products by satisfaction and market presence

Highlighted products: SAS Viya, Monte Carlo, GTM Studio - Powered by ZoomInfo, Data Quality Navigator, dbt, HubSpot Data Hub, DQLabs, and Quest Data Intelligence.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=monte-carlo&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=hubspot-data-hub&focus%5B%5D=dqlabs&focus%5B%5D=quest-data-intelligence)

Sponsored

Amazon Athena

Amazon Athena is a serverless, interactive query service that enables users to analyze large datasets directly in Amazon S3 using standard SQL. With no infrastructure to manage, Athena allows for quick, ad-hoc querying without the need for complex ETL processes. It automatically scales to execute queries in parallel, delivering fast results even for complex queries and large datasets. Key Features and Functionality: - Serverless Architecture: Athena requires no server management, automatically handling infrastructure scaling and maintenance. - Standard SQL Support: Users can run ANSI SQL queries, facilitating easy data analysis without learning new languages. - Broad Data Format Compatibility: Supports various data formats, including CSV, JSON, ORC, Avro, and Parquet, allowing flexibility in data storage and analysis. - Integration with AWS Glue: Seamlessly integrates with AWS Glue Data Catalog for metadata management, enabling schema discovery and versioning. - Security and Compliance: Provides robust security features, including data encryption at rest and in transit, and integrates with AWS Identity and Access Management (IAM) for fine-grained access control. Primary Value and User Solutions: Amazon Athena simplifies the process of analyzing vast amounts of data stored in Amazon S3 by eliminating the need for complex infrastructure setup and management. Its serverless nature and support for standard SQL make it accessible to users with varying levels of technical expertise. By enabling quick, cost-effective querying of large datasets, Athena addresses challenges related to data analysis speed, scalability, and operational overhead, empowering organizations to derive insights efficiently.

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Oracle Data Quality

Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data resulting in trustworthy master data that integrates with applications to improve business insight.

Average Rating: 4.0/5.0

Total Reviews: 54

How Do G2 Users Rate Oracle Data Quality?

  • Quality of Support: 8.4/10 (Category avg: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Identification: 9.2/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Oracle Data Quality?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    208,078 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Top Industries: Hospital & Health Care, Information Technology and Services
  • Company Size: 50% Large, 28% Small

What Are Recent G2 Reviews of Oracle Data Quality?

What Are G2 Users Discussing About Oracle Data Quality?

Microsoft Data Quality Services

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product.

Average Rating: 3.9/5.0

Total Reviews: 47

How Do G2 Users Rate Microsoft Data Quality Services?

  • Quality of Support: 8.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Microsoft Data Quality Services?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    231,632 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 53% Small, 29% Medium

What Are Recent G2 Reviews of Microsoft Data Quality Services?

What Are G2 Users Discussing About Microsoft Data Quality Services?

SAP Data Management

You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.

Average Rating: 4.0/5.0

Total Reviews: 31

How Do G2 Users Rate SAP Data Management?

  • Quality of Support: 7.4/10 (Category avg: 8.9/10)
  • Automation: 9.4/10 (Category avg: 8.7/10)
  • Identification: 10.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP Data Management?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Company Size: 69% Large, 22% Medium

What Are Recent G2 Reviews of SAP Data Management?

What Are G2 Users Discussing About SAP Data Management?

Openprise

Openprise makes your GTM data smarter with AI and automation. As the only data and AI orchestration platform built for modern go-to-market teams, Openprise automates your processes, unifies your data silos, and consolidates point solutions so Ops leaders can build smarter GTM data — your data, your way, your timeline. Fortune 500 companies and high-growth enterprises alike rely on Openprise and its partner ecosystem to unlock cleaner data, more efficient operations, and AI-ready pipelines. See how Openprise makes your GTM data smarter at www.openprisetech.com and follow us on LinkedIn. For more information, please visit www.openprisetech.com.

Average Rating: 4.9/5.0

Total Reviews: 63

How Do G2 Users Rate Openprise?

  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Automation: 9.7/10 (Category avg: 8.7/10)
  • Identification: 9.3/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Openprise?

  • Seller: Openprise
  • Year Founded: 2014
  • HQ Location: San Mateo, US
  • Twitter: @openprisetech
    3,573 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    131 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Large, 34% Medium

What Do G2 Reviewers Say About Openprise?

AI-generated summary from verified user reviews

Pros
  • Users value the booking efficiency of Openprise due to its advanced database and flexible lead routing options.
  • Users value Openprise for its strong database and flexible lead routing options, enhancing their data management capabilities.
  • Users value the robust database and flexible lead routing options of Openprise, enhancing data management efficiency.
  • Users value the flexible options in Openprise for complex lead routing and robust database management.
  • Users value the strong database and flexible lead routing options of Openprise, enhancing their lead generation capabilities.
Cons
  • Users find the navigation and configuration difficult, indicating a need for improvements in the Openprise UI.

What Are Recent G2 Reviews of Openprise?

What Are G2 Users Discussing About Openprise?

WinPure Clean & Match

Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.This software suite is ideal for cleaning, correcting and deduplicating mailing lists, databases, spreadsheets and CRMs. Experience the world’s most advanced AI data-matching solution that enables organizations to resolve complex records within minutes. * Detect potential duplicates based on common-sense principles * Determine possible relationships between datasets * Intelligently identify duplicates based on learned principles * Perform data matching at scale in just three step No code data cleansing & standardization. Teams spend 80% of their time in manual data cleaning and standardization. WinPure’s no-code software reduces the time spent with its intuitive interface. Users can: * Clean columns with built-in pre-set standardization options * Split components for targeted cleaning * Create custom abbreviation & name dictionaries* * Parse address data to clean & standardize at a component level Catch non-exact matches with advanced fuzzy logic. Duplicate customer records with varying information need a powerful fuzzy match algorithm like WinPure to identify exact and possible matches. Users can: * Cross-match between and across files * Easily merge and purge or overwrite duplicates * Create master records of consolidated records * Export directly into your CRM or data source WinPure™ Clean & Match will help save your business time and money. * Increase the accuracy of virtually ANY list, spreadsheet, database, CRM, etc. * Locally installed Windows software so no need to worry about security as all processing is done on your own systems * Save hours of valuable time cleaning and removing duplicated records from your lists or databases using built-in sophisticated fuzzy and phonetic match algorithms. * Affordable licences available with World Class Support & Training. * Free Demo with Live Online Training available. Seeing is believing! Schedule a live demo today with one of our product specialist at your convenience. We can learn about your requirements, answer questions, and review ways WinPure can help you and your organization.

Average Rating: 4.7/5.0

Total Reviews: 73

How Do G2 Users Rate WinPure Clean & Match?

  • Quality of Support: 9.4/10 (Category avg: 8.9/10)
  • Automation: 9.4/10 (Category avg: 8.7/10)
  • Identification: 9.4/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind WinPure Clean & Match?

  • Seller: WinPure
  • Year Founded: 2004
  • HQ Location: Theale, Berkshire
  • Twitter: @WinPure
    2,209 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Health, Wellness and Fitness
  • Company Size: 43% Small, 35% Medium

What Do G2 Reviewers Say About WinPure Clean & Match?

AI-generated summary from verified user reviews

Pros
  • Users praise WinPure's outstanding customer support, noting the team's responsiveness and helpful guidance throughout the process.
  • Users highlight the exceptional data quality of WinPure Clean & Match, ensuring accurate and efficient data management.
  • Users value the effective duplicate management of WinPure, enhancing data accuracy and streamlining their processes effortlessly.
  • Users find WinPure incredibly easy to use, allowing them to quickly start matching projects without extensive training.
  • Users value the easy access WinPure provides with its intuitive interface, allowing quick start without extensive training.

What Are Recent G2 Reviews of WinPure Clean & Match?

What Are G2 Users Discussing About WinPure Clean & Match?

IBM InfoSphere Information Server

Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projects and applications. Create a flexible governance strategy Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs. Modernize and consolidate your systems Enables you to consolidate applications, retire outdated databases and modernize your infrastructure, as well as automate business processes for improved cost savings. Connect business and IT Provides a unified platform that enables collaboration, which can help you bridge the gap between business and IT and align objectives.

Average Rating: 4.1/5.0

Total Reviews: 22

How Do G2 Users Rate IBM InfoSphere Information Server?

  • Quality of Support: 7.1/10 (Category avg: 8.9/10)
  • Automation: 6.7/10 (Category avg: 8.7/10)
  • Identification: 8.3/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM InfoSphere Information Server?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 96% Large, 26% Medium

What Are Recent G2 Reviews of IBM InfoSphere Information Server?

What Are G2 Users Discussing About IBM InfoSphere Information Server?

Informatica Data Quality

Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables businesses to trust their data for analytics, decision-making, and customer engagement. This tool supports data cleansing, standardization, validation, and enrichment across various data sources and platforms, ensuring consistency and reliability throughout the data lifecycle. Key Features and Functionality: - Data Discovery and Profiling: Allows users to profile data and perform iterative analysis to identify relationships and detect quality issues. - Rich Set of Transformations: Offers capabilities such as standardization, validation, enrichment, and de-duplication to transform data effectively. - Reusable Rules and Accelerators: Provides prebuilt business rules and accelerators that can be reused to maintain consistent data quality standards. - Integrated Data Governance: Ensures data quality is applied automatically with integrated data governance and cataloging. - AI-Powered Automation: Utilizes AI to streamline data quality processes, enhancing productivity and efficiency. Primary Value and Solutions Provided: Informatica Data Quality addresses the challenge of maintaining high-quality data across an organization. By automating data quality tasks, it reduces manual effort and minimizes errors, leading to more accurate analytics and informed decision-making. The solution ensures that data is clean, complete, and free of duplicates, which is essential for reliable business insights. Additionally, by standardizing and validating data, organizations can deliver more relevant and personalized customer experiences, thereby enhancing customer engagement and satisfaction.

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate Informatica Data Quality?

  • Quality of Support: 7.7/10 (Category avg: 8.9/10)
  • Automation: 8.3/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Informatica Data Quality?

  • Seller: Informatica
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,802 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Company Size: 58% Large, 33% Medium

What Do G2 Reviewers Say About Informatica Data Quality?

AI-generated summary from verified user reviews

Pros
  • Users value the customization options in Informatica Data Quality, allowing tailored solutions to meet specific needs.
Cons
  • Users find that there is a difficult learning curve with Informatica Data Quality, requiring substantial time to master its features.
  • Users express the learning difficulty with Informatica Data Quality, requiring significant time to understand its functionalities.
  • Users highlight the significant training required to fully grasp Informatica Data Quality's functionalities and features.

What Are Recent G2 Reviews of Informatica Data Quality?

What Are G2 Users Discussing About Informatica Data Quality?

ibi Omni-Gen

The modern, highly scalable ibi™ Omni-Gen® Data Integration Framework provides powerful data integration and cleansing technologies that ensure your data is timely, accurate, consistent, and accessible. Interoperable Omni-Gen architecture insulates end users from data complexities and ensures delivery of the right data to the right place at the right time for faster, smarter decisions. With Omni-Gen, you can more easily break down data silos and add new data sources, migrate legacy systems, and manage M&A activities to achieve better results from your digital transformation efforts.

Average Rating: 3.8/5.0

Total Reviews: 21

How Do G2 Users Rate ibi Omni-Gen?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind ibi Omni-Gen?

  • Seller: ibi
  • Year Founded: 1975
  • HQ Location: Fort Lauderdale, FL
  • Twitter: @infobldrs
    32,864 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    894 employees on LinkedIn®
  • Phone: 212-736-4433

Who Uses This Product?

  • Top Industries: Banking
  • Company Size: 43% Large, 38% Medium

What Are Recent G2 Reviews of ibi Omni-Gen?

What Are G2 Users Discussing About ibi Omni-Gen?

Data Deduplication Tool

The only de-duping tool that allows you to identify duplicates based on your own business rules. You select how to define a duplicate by setting up your own rules of identifying which record is going to be the surviving (master) record. StrategicDB's de-duping tool also normalizes fields such as: Website, Address and Company Name for better identification of duplicates. To ensure that the selected master record is the right choice among duplicates, our deduping tool is equipped with the confidence level feature. Your final file shows the confidence level of the selected duplicate. It also provides you with the data completeness score that helps with your master/merge selection.

Average Rating: 4.5/5.0

Total Reviews: 9

How Do G2 Users Rate Data Deduplication Tool?

  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Automation: 7.2/10 (Category avg: 8.7/10)
  • Identification: 6.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Data Deduplication Tool?

Who Uses This Product?

  • Company Size: 40% Small, 30% Large

What Are Recent G2 Reviews of Data Deduplication Tool?

Datactics Data Quality Suite

Datactics provides AI-augmented self-service data quality and matching software, empowering CDOs, CIOs and data leaders to rapidly measure, match, report and fix data assets. Solutions are data-agnostic and offer interoperability with data lineage, governance and metadata management tools, especially critical in the deployment of data fabric and data mesh architectures. Our team of data engineers provides fast and robust implementation services to help get data initiatives off the ground and secure buy-in across the enterprise.

Average Rating: 4.2/5.0

Total Reviews: 3

How Do G2 Users Rate Datactics Data Quality Suite?

  • Quality of Support: 7.2/10 (Category avg: 8.9/10)
  • Automation: 7.8/10 (Category avg: 8.7/10)
  • Identification: 9.2/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Datactics Data Quality Suite?

  • Seller: Datactics
  • Year Founded: 1999
  • HQ Location: Belfast, Northern Ireland, United Kingdom
  • LinkedIn® Page: www.linkedin.com
    44 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small, 33% Medium

What Do G2 Reviewers Say About Datactics Data Quality Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the automation capabilities of Datactics Data Quality Suite, streamlining complex tasks and enhancing productivity.
  • Users value the automated duplicate matching in Datactics, which significantly reduces manual efforts and improves accuracy.
  • Users value the AI-driven error detection that automates tasks and enhances efficiency in data quality management.
  • Users value the AI-driven automation in Datactics, which simplifies rule creation and enhances data quality management.
  • Users value the AI-driven automation in merging leads, significantly minimizing manual effort and enhancing efficiency.
Cons
  • Users identify poor handling of unstructured data as a significant area that needs improvement in Datactics Data Quality Suite.
  • Users highlight the need for UI enhancements in Datactics Data Quality Suite to improve overall usability.
  • Users highlight the need for improved search functionality, which hinders their ability to find desired data effectively.

What Are Recent G2 Reviews of Datactics Data Quality Suite?

Enlighten

Analyze and improve the quality of your data with Enlighten's complete data quality suite. Understand the state of your data and identify potential anomalies. Cleanse and normalize your data to your own standards. Identify and remove duplicate records from your database. Validate and enrich address data. Link customers records into households.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate Enlighten?

  • Quality of Support: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Enlighten?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of Enlighten?

What Are G2 Users Discussing About Enlighten?

Human Inference DataCleaner

DataCleaner is your comprehensive data quality Swiss army knife.

Average Rating: 3.5/5.0

Total Reviews: 1

How Do G2 Users Rate Human Inference DataCleaner?

  • Quality of Support: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Human Inference DataCleaner?

  • Seller: Quadient
  • Year Founded: 1924
  • HQ Location: Bagneux, France
  • Twitter: @Quadient
    3,878 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,966 employees on LinkedIn®
  • Ownership: EPA: QDT

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Human Inference DataCleaner?

AI-generated summary from verified user reviews

Pros
  • Users value the customization options in Human Inference DataCleaner, enhancing accuracy and relevance of their data solutions.
  • Users praise Human Inference DataCleaner for its effective data cleaning and matching capabilities, ensuring accurate information management.
  • Users value the data quality that Human Inference DataCleaner provides for accurate and reliable data processing.

iugum Data Software

iugum Data Software helps Improve your data management software to cleanse, match and merge your lists, datasets or databases.

Average Rating: 4.0/5.0

Total Reviews: 1

How Do G2 Users Rate iugum Data Software?

  • Quality of Support: 5.0/10 (Category avg: 8.9/10)

Who Is the Company Behind iugum Data Software?

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of iugum Data Software?

What Are G2 Users Discussing About iugum Data Software?

Blazent

Blazent is a cloud-based IT data integrity engine that aggregates, reconciles and consolidates IT data.

Who Is the Company Behind Blazent?

  • Seller: Blazent
  • Year Founded: 2001
  • HQ Location: Livonia, US
  • Twitter: @Blazent
    1,788 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    45 employees on LinkedIn®

DataCleaner

The Premier Open Source Data Quality Solution

Who Is the Company Behind DataCleaner?