Top Free Data Quality Tools - Page 5

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 254

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
  • 254+ 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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Dagster

Ship data pipelines with extraordinary velocity. Dagster is the cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate Dagster?

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

Who Is the Company Behind Dagster?

  • Seller: Dagster Labs
  • Year Founded: 2018
  • HQ Location: San Francisco ,California ,United States
  • LinkedIn® Page: www.linkedin.com
    92 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Do G2 Reviewers Say About Dagster?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the robust analytics capabilities of Dagster, highlighting its reliability and transparency in data orchestration.
  • Users highlight the ease of use of Dagster, noting its intuitive design and reduced complexity for data orchestration.
  • Users value the asset-centric approach of Dagster, enhancing reliability and transparency in data orchestration.
  • Users value the flexibility of Dagster, appreciating its asset-centric approach to diverse data engineering use cases.
  • Users admire the sophisticated and modern tool that fits nearly all data engineering use cases effectively.
Cons
  • Users find the difficult learning process challenging, complicating initial adoption and hindering usability for smaller teams.
  • Users find the steep learning curve of Dagster challenging, hindering smooth adoption and initial usage.
  • Users find the steep learning difficulty of Dagster challenging, complicating adoption for smaller teams.
  • Users find Dagster's steep learning curve challenging, especially during initial setup and integration into workflows.
  • Users find the complex setup of Dagster challenging, complicating adoption and overwhelming smaller teams.

What Are Recent G2 Reviews of Dagster?

Datameer

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics.

Average Rating: 4.2/5.0

Total Reviews: 24

How Do G2 Users Rate Datameer?

  • Quality of Support: 7.7/10 (Category avg: 8.9/10)

Who Is the Company Behind Datameer?

  • Seller: Datameer
  • Year Founded: 2009
  • HQ Location: San Francisco, CA
  • Twitter: @datameer
    11,208 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    170 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 63% Large, 21% Medium

What Are Recent G2 Reviews of Datameer?

What Are G2 Users Discussing About Datameer?

Data Quality App for Dynamics 365 & Power Apps

Revolutionary Data Quality Management add-on for Dynamics 365 & Power Apps Are you tired of dealing with inaccurate and incomplete data in your organization? Do duplicate records and incorrect data haunt your system, causing inefficiencies and headaches? Are you ready to take advantage of AI? Look no further – Data Quality App is here to revolutionize your data management. Get ready to experience data perfection and precision like never before. Our revolutionary add-on ensures you have accurate and complete data across all entities, empowering your business to make informed decisions with confidence. Benefits: Reliable and cleansed data supports effective decisions that help drive your business and customer satisfaction. New features, ensure even higher data accuracy, contributing to better customer engagement. Accurate data will help your business deliver the right messages at the right time in their customer journey. Save time and money on data remediation, increasing your return on investment on data assets. Take advantage of your data by using AI technology. Key features: Create and manage custom data quality rules for any entity. Create and manage custom duplicate detection rules for any entity. Phonetic Fields algorithm indexing data by sound, as pronounced and by correction rate of 99%. Get overview of duplicated data. Prevent creation of duplicates on all entities for users & integrations. Merge records using built-in logic to define a master. Advanced real-time detection capturing duplicates before they get created. Get real-time alerts of rule violations with varying severity levels. Control the ability to save a record based on rule severity. Search for data quality rules using advanced find or add them to the dashboard. Search for any entity that have warnings or errors due to data quality rules. No external access to data. No API development needed. Fully integrated into Dynamics 365 & Power Apps. Latest Updates: Revolutionary Data Quality Rules. Phonetic Fields algorithm indexing data by sound. Ignore records during manual merge. Delete records during manual merge. Customize which fields are available for manual merge. Dynamic duplicate notification before saving the record. Manual merge records of your own choice. Multi record merge by mixing and matching attributes manually from multiple duplicate records. Stronger background service capabilities such as scheduling multiple jobs. Supports Unified Interface. Background service. For more information visit https://dataqualityapp.com To activate your trial, please send an email to support@techdio.dk

Who Is the Company Behind Data Quality App for Dynamics 365 & Power Apps?

Data Quality Score for jira

Data Quality Score for Jira is a Atlassian Forge application that delivers comprehensive quality assessments directly in your Jira workflow. Analyze CSV, JSON, and XLSX files with intelligent completeness, consistency, and validity scoring.

Who Is the Company Behind Data Quality Score for jira?

Data Studio

Address Verification (Global), National Change of Address (NCOA), and Match & Merge for applications (like Salesforce) and databases (like Oracle, Postgres, etc.). Core Capabilities: Global Address Verification: Clean and verify addresses worldwide. US addresses are CASS certified. Verify records instantly or process entire datasets in bulk. National Change of Address (NCOA): Update addresses with official USPS data for people and companies who have moved. Advanced Matching & Deduplication: AI powered, higher yield matching. Unparalleled capabilites for golden record creation. Rich Connectors for Applications and Databases: Data Studio does more than connect. It reads application metadata, database data dictionaries and flat file headers, is automatically aware of your data objects, fields and customizations, and automatically navigates relationships between data objects enabling more powerful business rules. Data Studio by Acme Data is an enterprise-scale data quality platform designed for business users while remaining powerful for developers. The platform features an intuitive, point and click, low-code/no-code interface for non-technical users alongside a robust API for technical teams. Battle-tested for years by Global 2000 and Fortune 500 corporations, Data Studio handles massive datasets with batch, incremental, and real-time processing. The platform is built for fast implementation, deploying in just minutes.

Who Is the Company Behind Data Studio?

  • Seller: Acme Data
  • Year Founded: 1998
  • HQ Location: San Ramon, US
  • Twitter: @AcmeDatanet
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

dataX.ai

dataX.ai is a trailblazing data science company specializing in automated solutions for B2B eCommerce product content. Our goal is to minimize manual effort in data processing and management, enhancing accuracy and enabling scalable operations. With more than a decade of experience crafting AI-powered solutions, we have become a trusted partner to eContent managers, as innovation meets precision in executing seamless data workflows. Headquartered in Plano, Texas, we have offices spread across India and Japan, empowering modern businesses to remain agile, competitive, and thrive in the digital era.

Average Rating: 4.4/5.0

Total Reviews: 4

How Do G2 Users Rate dataX.ai?

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

Who Is the Company Behind dataX.ai?

  • Seller: CrowdANALYTIX
  • Year Founded: 2012
  • HQ Location: Plano, US
  • Twitter: @data_x_ai
    16 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    115 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Are Recent G2 Reviews of dataX.ai?

What Are G2 Users Discussing About dataX.ai?

Emport

Emport uses AI to auto-map, validate, and filter your contacts before they hit HubSpot.

Who Is the Company Behind Emport?

  • Seller: Emport
  • Year Founded: 2026
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Expanso

Expanso is a distributed data orchestration platform that enables organizations to deploy, manage, and govern data pipelines across cloud, on-prem, and edge environments. It allows teams to process and control data where it is generated, reducing costs, improving performance, and ensuring compliance through a unified control plane built for scalability and reliability.

Who Is the Company Behind Expanso?

  • Seller: Expanso
  • Year Founded: 2023
  • HQ Location: Seattle, US
  • LinkedIn® Page: www.linkedin.com
    13 employees on LinkedIn®

France SIRENE Lookup Premium for Dynamics 365

France SIRENE Business Lookup Premium enables Dynamics 365 users to search and verify French business entities using the INSEE SIRENE database. The tool fetches company name, SIREN/SIRET number, status, legal form, establishment date, and address in real time, allowing teams to maintain accurate CRM records for French clients and partners. With a refined modern interface and AppSource-ready configuration, it is ideal for multi-region organizations operating in France or the EU.

Who Is the Company Behind France SIRENE Lookup Premium for Dynamics 365?

Kapture.io

Kapture.io is a cloud-based Quality Management Software (QMS) designed to help organizations centralize, manage, and continuously improve their quality processes. Built around the Quality Circle, Kapture.io supports quality teams in creating a structured, repeatable approach to quality control and continuous improvement. The platform helps companies digitize and automate key quality management workflows such as audits, non-conformities, corrective and preventive actions (CAPA), , risk management and performance monitoring. By connecting these processes in one system, Kapture.io provides real-time visibility and make data-driven decisions. Kapture.io is designed to be flexible, scalable, and easy to adopt across industries where maintaining a strong quality management system is critical. By replacing manual workflows and disconnected tools, Kapture.io helps organizations standardize processes, improve collaboration, and continuously strengthen quality outcomes, closing the loop of the Quality Circle from planning to execution, verification, and improvement.

Who Is the Company Behind Kapture.io?

MatchX

MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across structured data and unstructured documents. The result? You get clean, connected, and trusted data, ready for superior AI, analytics, automation, and critical business decisions.

Who Is the Company Behind MatchX?

  • Seller: VE3
  • Year Founded: 2010
  • HQ Location: London, GB
  • Twitter: @ve3global
    40 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    74 employees on LinkedIn®

MemberVerify

One-Time Database Cleanup & Database Monitoring A single pass to correct the contact data you already have. We verify each record, flag job changes, invalid emails, and contacts who have left their roles, then locate current details: new employers, working emails, updated titles and locations. You receive a clear report of exactly what changed and how your database quality improved. Cleanup fixes your database once. Monitoring keeps it accurate. After the initial cleanup, MemberVerify watches your records over time and catches decay as it happens: contacts who change jobs, leave their roles, or whose emails go bad. Instead of degrading quietly between annual audits, your database stays current.

Who Is the Company Behind MemberVerify?

multisource

multisource•api is a Swiss customer data quality and enrichment platform that automates address validation, contact data updates and customer intelligence directly inside CRM and business systems. Organizations use multisource to maintain accurate customer records, reduce manual data maintenance and improve marketing, sales and service processes through reliable real-time data. Key capabilities include: • Real-time address autocomplete and validation • Reverse phone lookup and caller identification • Automated move and death notifications • Customer data enrichment with 200+ attributes • Batch data cleansing and CRM synchronization The solution integrates seamlessly with CRM and business platforms such as Salesforce, HubSpot and Microsoft Dynamics via a modular REST API. An optional admin interface provides transparency, monitoring and operational control for business users. All data is sourced and hosted in Switzerland, ensuring compliance with strict data protection and governance requirements.

Who Is the Company Behind multisource?

Qlik Talend Cloud

Qlik Talend Cloud offers extensive data integration capabilities plus data quality and governance. Available in Starter, Standard, Premium, and Enterprise editions, it provides features such as bulk and incremental replication, log-based CDC, no-code/low-code/pro-code data pipeline development, a data products catalog, and more . Qlik Talend Cloud can automate the design, creation and continuous update of data warehouses, lakehouses, and AI-ready data lakes on any cloud platform. It offers real-time or near-real-time data integration across heterogeneous environments, supporting critical workloads like fraud detection and AI inference. Qlik Talend Cloud has a scalable 'go-as-you-grow' approach, and supports multiple data integration patterns. Globally available on cloud infrastructure, this unified platform is designed to provide a trusted data foundation for AI and support various data integration needs across organizations of all sizes.

Average Rating: 4.6/5.0

Total Reviews: 13

How Do G2 Users Rate Qlik Talend Cloud?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)

Who Is the Company Behind Qlik Talend Cloud?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,551 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Company Size: 46% Medium, 38% Small

What Do G2 Reviewers Say About Qlik Talend Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the API integration of Qlik Talend Cloud, enabling seamless data ingestion with minimal infrastructure setup.
  • Users value the automation capabilities of Qlik Talend Cloud for effortlessly building and scheduling data ingestion pipelines.
  • Users appreciate the seamless cloud-based data ingestion capabilities of Qlik Talend Cloud, simplifying their pipeline management.
  • Users appreciate the ease of building Data Ingestion pipelines with Qlik Talend Cloud, simplifying infrastructure setup.
  • Users value the ease of building data ingestion pipelines in Qlik Talend Cloud without extra infrastructure requirements.

What Are Recent G2 Reviews of Qlik Talend Cloud?

TopQuadrant

TopBraid EDG is a comprehensive data governance platform designed to help organizations manage, connect, and make sense of their data assets with unmatched flexibility and transparency. Powered by semantic web standards and knowledge graph technology, TopBraid EDG helps build an AI-ready data foundation for governing your data at scale. By seamlessly integrating taxonomies, ontologies, structured and unstructured data, and policies, TopBraid EDG enables dynamic, enterprise-wide semantic interoperability to connect disparate systems, drive smarter decision-making and compliance that inject policy into the data layer. With its scalable, extensible architecture, TopBraid EDG empowers organizations to unlock the full potential of their data while maintaining trust, accuracy, and agility.

Average Rating: 4.7/5.0

Total Reviews: 3

How Do G2 Users Rate TopQuadrant?

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

Who Is the Company Behind TopQuadrant?

  • Seller: TopQuadrant
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Raleigh, US
  • LinkedIn® Page: www.linkedin.com
    35 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Medium

What Are Recent G2 Reviews of TopQuadrant?