Best Data Quality Tools - Page 16

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 Aurora

Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability.

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Qualdo-MQX

Qualdo-MQX is a leader in monitoring and improving data quality and ML-Models for enterprises adopting a multi-cloud and modern data ecosystem. Qualdo.ai is a proprietary SaaS product where Data-Quality meets Model Monitoring. Available on Azure, AWS and Google cloud databases, Qualdo™ helps enterprises monitor mission-critical ML & data issues, errors, and quality using Augmented Data Engineering. In other words, performance is measured and monitored in autopilot mode.

Who Is the Company Behind Qualdo-MQX?

  • Seller: Saturam
  • HQ Location: N/A
  • Twitter: @qualdo_ai
    46 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Quickcode

Quickcode is an AI-powered trade intelligence platform that helps companies navigate global trade as a strategic lever, not a risk. By forecasting the impact of tariffs, classifications, and regulatory changes before products move, Quickcode enables smarter sourcing, pricing, and market decisions, while reducing compliance risk and operational friction across everyday trade workflows.

Who Is the Company Behind Quickcode?

Remove Duplicates in Excel (RDIE)

Remove Duplicates in Excel allows you to upload your Excel or CSV files and automatically detect and remove duplicate entries using advanced fuzzy matching algorithms. Clean your data in seconds, not hours, with our optimized processing engine that can handle large datasets efficiently while prioritizing your data privacy.

Who Is the Company Behind Remove Duplicates in Excel (RDIE)?

  • Seller: RDIE
  • Year Founded: 2023
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

RowLoom

Anyone who deals with recurring CSV exports — from a supplier, a bank, a marketplace, a client — knows the drill: dates in three different formats, trailing whitespace, numbers as text, empty rows breaking your import. RowLoom is a free browser tool that cleans and standardizes CSVs. Drop in a file with no signup for a one-off, or create an account to save a "schema" (your target column layout) — RowLoom auto-suggests and remembers the mapping so the next file from the same source is a one-click job.

Who Is the Company Behind RowLoom?

Rudol

Unlock the real power of your Data In today's data-driven landscape, the quality of your data is paramount. Poor data quality can lead to wrong business decisions, poor quality software or biased AI trainings, due to inaccurate, incomplete, or unreliable information. Enter Rudol, your data quality partner, designed to elevate your data quality game to new heights. Rudol is a comprehensive data quality platform that empowers organizations to maximize the value of their data. It's tailor-made for enterprises that recognize the importance of data quality, from improving decision-making to regulatory compliance, machine learning training or simply reducing problems in published software. And it does it for your whole organization, because it requires no technical background or coding skills whatsoever, its completely self service with 24/7 support, and all user accounts are Free, because the subscription cost is determined by the volume of your Data, enabling your whole structure to be part of the process. The foundation of data quality is understanding the landscape of your Assets. Rudol's Data Catalog allows organizations to bring order to their stack, by adding data sources from the most popular technologies, whether it's structured SQL databases, spreadsheets, dashboards, or even streaming sources. Then teams can perform Governance processes and define Owners, classify under Domains or Tags, put sensitive labels and help teams discover unknown sources for their projects. For those who don't want to have another browser tab opened, Rudol provides Slack, Microsoft Teams and Google Chrome plugins with vast functionalities, so you can find and share resources while chatting with another team member, or in your browser as a sidebar, while using your favorite analytics platform. Enabling Data Quality is a tedious process, Business Stakeholders have to chime in trying to translate their vision into technical requirements, and Software Engineers have to interpret those requirements, for coding boring, repetitive and time consuming scripts. This process is done with friction, and is very difficult to maintain over time, so Rudol bypasses this process by giving Business Stakeholders easy to build Validations that require no coding background and are extremely easy to configure. Choose from more than 15 Business Rules Validations or let Rudol parse your Data to pre configure some of them, the process takes less than 3 minutes and you can massively configure Validations to all your Assets in an instant. Releasing your Data Team from this repetitive tasks is crucial for optimizing their work and getting more value out of the practice, that's why Rudol also offers AI Validations to detect Anomalies where no business rules are defined. Use one of our 3 models to detect inconsistencies where not even Business Stakeholders can notice, and proactively notify your interested roles to identify hidden problems or false positives, because the models learn and improve with your feedback. Rudol also offers Lineage level traceability for Root Cause and Impact Analysis, allowing you to trace data from source to destination across data pipelines. Understand the upstream and downstream implications of any data issue, promoting accountability and transparency, or copy Validations accross your pipeline flow for higher quality coverage. With Rudol, Data Quality becomes accesible and easy to execute. It's designed for all levels of technical expertise, allowing everyone in your organization to participate in maintaining data quality. Rudol enhances decision-making, reduces infrastructure costs, and empowers organizations to make the most out of their data. Don't let poor data quality hinder your success. Choose Rudol and enable the real power of your Data.

Average Rating: 5.0/5.0

Total Reviews: 1

Who Is the Company Behind Rudol?

  • Seller: Rudol
  • Year Founded: 2022
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Rudol?

Screena

Screena is a cloud-based solution powered by AI for name matching and identity verification. Our screening API provides endpoints to supercharge KYC/AML, transaction screening, due diligence, risk and fraud management applications. Screena reduces false positives and negatives with unrivaled precision at speed and at scale thanks to its unique "algo-as-a-service" technology that blends machine learning with option-based context-adaptive algorithms.

Who Is the Company Behind Screena?

  • Seller: Screena
  • Year Founded: 2013
  • HQ Location: New York, New York, United States
  • LinkedIn® Page: www.linkedin.com
    243 employees on LinkedIn®

SDF

SDF is a next-generation build system for data infrastructure. It's a tool that can help data scientists and engineers streamline their workflows.

Who Is the Company Behind SDF?

  • Seller: SDF
  • Year Founded: 2016
  • HQ Location: Philadelphia, Pennsylvania, United States
  • LinkedIn® Page: www.linkedin.com
    874 employees on LinkedIn®

SERAM

SERAM provides easy, distributed data collection with configurable backend for data computation, aggregation & analysis in one web application. It is built to accommodate EHS & generic KPI needs of companies of any size.

Who Is the Company Behind SERAM?

Serj

Serj indexes huge volumes of data with minimal resources needed for query.

Who Is the Company Behind Serj?

  • Seller: Validin
  • Year Founded: 2021
  • HQ Location: Melbourne, US
  • LinkedIn® Page: linkedin.com
    5 employees on LinkedIn®

Spectrum Quality

Spectrum Quality extracts, normalizes and standardizes your data with confidence across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Our approach uses supervised machine learning neural network-based techniques to understand the structure and variations of different types of information to parse data in an automated manner. Ideally suited for global client bases with multi-level data standardization and transliteration needs for multiple languages and on culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing also enables information extraction from any natural language input text and can then assign categories to this unstructured text. Thanks to pre-trained models, you can extract entities and even further train and customize models to define specific entities of any domain or type.

Who Is the Company Behind Spectrum Quality?

  • Seller: Precisely
  • HQ Location: Burlington, Massachusetts
  • Twitter: @PreciselyData
    3,963 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,006 employees on LinkedIn®

SQACE

SQACE is a web-based low-code platform for testing data and data processes, with all relevant tools for the required data analysis and preparation. The application helps teams ensure data quality in a structured and efficient manner and provides transparent documentation of test activities. Customer projects show that SQACE can significantly reduce the effort required for data-related testing, often by 80% or more compared to previous approaches without the platform. At the same time, test coverage and test depth can be increased. SQACE offers a wide range of visual components that allow users to define and execute data queries, data comparisons, range checks, duplicate checks, and other quality validations. The platform handles many technical considerations in the background, enabling users to focus on the business logic. Data from different sources can be combined, validated, or compared. Based on modular building blocks, complex workflows can be created without programming. Code can be used when needed, for example for more specialized cases. The platform also supports before/after comparisons, regression testing or simple delta analysis. For more complex scenarios, transformation rules can be defined in comprehensible rule sets, which can generate expected results for any data volumes, for example for ETL or data migration tests. These expected results can be compared with actual results, and the platform provides automated support for determining test coverage. SQACE supports both ad-hoc testing and automated test pipelines. The graphical interface allows even experienced SQL users to create queries visually, improving maintainability. Built-in suggestion mechanisms help users formulate tasks quickly, even with only occasional use. Results of tests and comparisons are automatically stored, versioned, and visually prepared. They can be reviewed, re-executed, or reused as data sources for additional analyses. SQACE is containerized and can be deployed flexibly in enterprise environments.

Who Is the Company Behind SQACE?

Star DQ Pro

Making Sure Your Data is Accurate, Genuine, & Up-To-Date

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Star DQ Pro?

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

Who Is the Company Behind Star DQ Pro?

Who Uses This Product?

  • Company Size: 100% Large

What Are G2 Users Discussing About Star DQ Pro?

SuiteCRM Smart Duplicate Detector

Duplicate data can harm a business in a number of ways. First of all, it will waste the resources and crucial operating costs of the company. Secondly, it also imitates the incorrect image of customers and sometimes, even lacks a single customer view. Especially, in a data-rich software like SuiteCRM. In order to avoid all this trouble, we have developed a proactive solution. Here, we are talking about the SuiteCRM Smart Duplicate Detector plugin. Below, we have mentioned some noteworthy features of this extension. 1. Using the plugin you can configure multiple settings that allow you to detect duplicate data in every module. 2. During the time of creating the record, it will notify you instantly whether the entered value in the field already exists or not. 3. In addition, you will be able to see the existing record that is being copied. 4. If you want to create a new record with the same field value then there is an option that can overrule the settings and allow you to create a new record. 5. It is marked as “Exact Match” or “Duplicate from Multiple Fields”. 6. The product can work exclusively on any particular module like leads, contacts, accounts, etc.

Who Is the Company Behind SuiteCRM Smart Duplicate Detector?

  • Seller: Outright Store
  • Year Founded: 2014
  • HQ Location: Noida, Uttar Pradesh
  • Twitter: @outrightstore
    624 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

SyncPenguin

SyncPenguin is a cloud-based platform that offers two-way and one-way automatic synchronization and integration of data between various applications.

Who Is the Company Behind SyncPenguin?

  • Seller: SyncPenguin
  • Year Founded: 2019
  • HQ Location: Lviv, UA
  • Twitter: @syncpenguin
    16 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Syniti Knowledge Platform

A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, and master data management into one unified platform. SKP aims to deliver trustworthy, optimized, and actionable data across businesses, ensuring successful digital transformations with minimal disruption. Able to support the most complex migrations, such as transitioning to SAP S/4HANA, SKP’s unified data management capabilities drive better business outcomes. SKP is an essential tool for enterprises looking to manage their data effectively and leverage it for strategic advantage. Its comprehensive features and benefits make it a valuable asset for any business aiming to improve data quality, governance, and overall management. SKP helps businesses achieve successful digital transformations with minimal disruption.

Average Rating: 4.2/5.0

Total Reviews: 14

How Do G2 Users Rate Syniti Knowledge Platform?

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

Who Is the Company Behind Syniti Knowledge Platform?

  • Seller: Syniti
  • Year Founded: 1996
  • HQ Location: Needham, MA
  • LinkedIn® Page: www.linkedin.com
    391 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Large, 43% Medium

What Are Recent G2 Reviews of Syniti Knowledge Platform?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated March 10, 2026