Best Data Quality Tools

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 282

Category Stats (Sep 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: snapAddy (+0.84%) - Among all products in this category, snapAddy recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,300+ Authentic Reviews
  • 282+ 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, HubSpot Data Hub, Data Quality Navigator, dbt, DQLabs, and D&B Connect.

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=hubspot-data-hub&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=dqlabs&focus%5B%5D=d-b-connect)

GTM Studio - Powered by ZoomInfo

Note: GTM Studio is the upgraded version of ZoomInfo Marketing and ZoomInfo Operations. GTM Studio is ZoomInfo's AI-powered go-to-market canvas that unifies signals, systems, and teams in one intelligent workspace so plays fire automatically, moments aren't missed, and reps always know what to do next. Designed for RevOps and marketing teams, GTM Studio eliminates tool sprawl by connecting CRM, marketing, sales, and third-party data into a single live canvas - giving every team a complete, AI-ready view of their market. At the core of GTM Studio is built-in waterfall enrichment that automatically fills in missing contact and account data across 25+ vendors, so the data powering every play is always complete and actionable. AI-powered insights surface buying signals in real time, helping teams respond to in-market buyers in under five minutes - before competitors have even pulled a list. Every insight is grounded in your ICP, so GTM decisions are faster, sharper, and more informed. GTM Studio is built for speed to execution. A library of pre-built plays - including inbound acceleration, champion tracking, and competitive displacement - can be launched in a single click, with no tickets, no engineering support, and no waiting. Custom plays can be designed, tested, and scaled without code or developer involvement, compressing what used to take weeks into minutes. Specialized AI agents handle enrichment, scoring, routing, and message creation automatically, so teams stay focused on results rather than operations. GTM Studio integrates with the tools revenue teams already rely on - Salesforce, HubSpot, Salesloft, Gong, Slack, and 50+ more - ensuring signals flow freely across the stack and execution happens without friction. Built-in analytics measure what's working in real time, while automated workflows and alerts keep teams responsive to every change in GTM data. The result is a GTM motion that runs on its own - where top-performing teams launch more than 50 plays per quarter, expansion campaigns that once took three weeks go live in 30 minutes, and every seller always knows exactly where to focus next.

Average Rating: 4.5/5.0

Total Reviews: 3,395

How Do G2 Users Rate GTM Studio - Powered by ZoomInfo?

  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Automation: 8.9/10 (Category avg: 8.7/10)
  • Identification: 9.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind GTM Studio - Powered by ZoomInfo?

  • Seller: ZoomInfo
  • Company Website:
  • Year Founded: 2000
  • HQ Location: Vancouver, WA
  • Twitter: @ZoomInfo
    23,515 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9,779 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 63% Medium, 24% Large

What Do G2 Reviewers Say About GTM Studio - Powered by ZoomInfo?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable B2B contact data of GTM Studio, enhancing targeted prospect lists and campaign efficiency.
  • Users value the accuracy of data and intent signals in GTM Studio, enhancing their lead generation and targeting efforts.
  • Users find GTM Studio's ease of use exceptional, streamlining lead enrichment with straightforward features and intuitive navigation.
  • Users value the reliable and accurate B2B contact data from GTM Studio, enhancing campaign effectiveness and targeting precision.
  • Users value the high-quality data from GTM Studio - Powered by ZoomInfo for efficient, targeted outreach campaigns.
Cons
  • Users find the pricing high, making it less accessible for smaller teams with limited budgets.
  • Users find that data inaccuracy affects reliability, with outdated information and missing data for niche roles.
  • Users note that the pricing is high for small teams, making it less accessible for budget-conscious businesses.
  • Users find the learning curve steep, feeling overwhelmed initially due to the platform's complexity and range of features.
  • Users find the platform's complexity overwhelming initially, requiring training and processes for effective use.

What Are Recent G2 Reviews of GTM Studio - Powered by ZoomInfo?

What Are G2 Users Discussing About GTM Studio - Powered by ZoomInfo?

SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

Average Rating: 4.3/5.0

Total Reviews: 776

How Do G2 Users Rate SAS Viya?

  • Quality of Support: 8.4/10 (Category avg: 8.9/10)
  • Automation: 9.0/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute Inc.
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 33% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAS Viya, enhancing data visualization and decision-making for businesses.
  • Users appreciate the advanced analytical capabilities of SAS Viya, making data analysis and decision-making more efficient.
  • Users value the sophisticated analytical capabilities of SAS Viya, enhancing decision-making and insights from diverse data sources.
  • Users value the end-to-end data lifecycle tooling in SAS Viya, enhancing insights and strategic decision-making capabilities.
  • Users value the powerful data visualization capabilities of SAS Viya, enhancing insights and decision-making in their organizations.
Cons
  • Users find SAS Viya difficult for non-technical users to navigate, impacting ease of access to reports and dashboards.
  • Users find the visualization complexity of SAS Viya challenging, especially for those without technical expertise.
  • Users find the learning curve challenging, especially for non-technical individuals navigating reports and dashboards.
  • Users find the difficult learning curve for SAS Viya challenging, especially for non-technical users attempting to access features.
  • Users find the expensive pricing of SAS Viya a potential barrier, complicating their decision-making process.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

Monte Carlo

Monte Carlo is the agent trust platform, trusted by Nasdaq, Cisco, PepsiCo, and hundreds of enterprise organizations worldwide. Founded in 2019 and backed by leading investors, Monte Carlo pioneered data observability and has expanded into the full AI reliability stack. We're consistently ranked #1 in data observability on G2 — and we're built for what comes next. As enterprises scale from dozens to thousands of AI agents across mission-critical use cases, Monte Carlo monitors, troubleshoots, and improves both those agents and the underlying data powering them. Our platform covers the full trust stack — from the data pipelines feeding agents, to the context they retrieve, the decisions they make, and the outputs they produce — across four trust dimensions: context quality, performance, behavior, and outputs. Only Monte Carlo closes the full trust loop across both data and AI, and we meet enterprises wherever they are on the spectrum from human-guided oversight to fully autonomous operations. With 100+ integrations across Snowflake, Databricks, and the rest of your stack, you get full coverage without ripping anything out. Traditional monitoring tools stop at the pipeline or cover only one dimension of reliability — leaving teams to manually investigate, diagnose, and fix failures across disconnected tools. Monte Carlo closes that gap. Teams using Monte Carlo dramatically reduce time to detect and resolve data and AI incidents, scale monitoring coverage without scaling headcount, and build the internal trust that turns AI investments into real business outcomes. If your organization is serious enough about AI to put it in front of customers, executives, and critical decisions — Monte Carlo is the foundation it needs.

Average Rating: 4.3/5.0

Total Reviews: 544

How Do G2 Users Rate Monte Carlo?

  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Automation: 7.5/10 (Category avg: 8.7/10)
  • Identification: 8.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Monte Carlo?

  • Seller: Monte Carlo
  • Company Website:
  • Year Founded: 2019
  • HQ Location: San Francisco, US
  • Twitter: @montecarlo_ai
    1,576 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    550 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Data Engineer
  • Top Industries: Financial Services, Computer Software
  • Company Size: 50% Large, 41% Medium

What Do G2 Reviewers Say About Monte Carlo?

AI-generated summary from verified user reviews

Pros
  • Users value the intuitive interface of Monte Carlo, finding it easy to navigate and utilize effectively.
  • Users appreciate the custom alerts and integration with Teams, enhancing data monitoring and stakeholder communication efficiently.
  • Users value the effective monitoring of Monte Carlo, catching data issues early and enhancing stakeholder communication.
  • Users value the custom alerting features in Monte Carlo for efficiently monitoring and notifying stakeholders about data issues.
  • Users value the ease of setting up alerts and anomaly detection in Monte Carlo for monitoring data quality.
Cons
  • Users find the lack of manual threshold settings for alerts limiting, impacting customization for their specific needs.
  • Users experience alert overload due to noisy initial settings, prompting the need for sensitivity adjustments and muted alerts.
  • Users find the inefficient alert system problematic, with issues in notification messages and usability improvements needed.
  • Users find the UX improvement necessary due to slow performance and disorganized features leading to confusion.
  • Users find limited functionality in Monte Carlo, especially regarding custom metrics and alert threshold settings.

What Are Recent G2 Reviews of Monte Carlo?

What Are G2 Users Discussing About Monte Carlo?

HubSpot Data Hub

Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.

Average Rating: 4.5/5.0

Total Reviews: 617

How Do G2 Users Rate HubSpot Data Hub?

  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Automation: 8.7/10 (Category avg: 8.7/10)
  • Identification: 9.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind HubSpot Data Hub?

  • Seller: HubSpot
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, Massachusetts, United States
  • Twitter: @HubSpot
    784,270 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO, Owner
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 64% Small, 32% Medium

What Do G2 Reviewers Say About HubSpot Data Hub?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of HubSpot Data Hub, making information easily accessible and operations efficient.
  • Users value the two-way data sync of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
  • Users benefit from automation capabilities in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
  • Users value the two-way data sync across platforms, enhancing efficiency and ensuring accurate, consistent information for teams.
  • Users appreciate the efficiency of HubSpot Data Hub, streamlining data management and reducing workflow complexities.
Cons
  • Users find the limitations in data handling frustrating, particularly regarding external data integration and processing capabilities.
  • Users find the missing features in HubSpot Data Hub limit their ability to manage complex contact data effectively.
  • Users find the learning curve steep, especially when unfamiliar with workflow automation, affecting overall usability.
  • Users find HubSpot Data Hub fairly expensive, particularly for small teams wanting advanced features and customization.
  • Users find the complexity of reporting and data tracking in HubSpot Data Hub to be challenging and frustrating.

What Are Recent G2 Reviews of HubSpot Data Hub?

What Are G2 Users Discussing About HubSpot Data Hub?

Data Quality Navigator

Data Quality Navigator (DQN) is a business-driven, end-to-end data quality platform that enables organizations to understand, improve, and continuously manage data quality in a measurable and scalable way. It moves data quality away from purely technical responsibility and enables business users to take ownership working with intuitive processes that reflect real operational needs. DQN comes with 2,500+ pre-built rules based on real business issues, so organizations don’t have to start from scratch. Instead, they can focus directly on the most critical problems and see measurable improvements within weeks. This fast, impact-focused approach helps stabilize operations early, avoid risks such as failed migrations or production delays, and build continuous improvement over time. Key Functionalities → Data Integration (Seamlessly connect and synchronize data across systems) → Data Profiling & Assessment (Understand data quality and structure) → Data Validation (Choose from over 2,500 predefined validation rules or create your own) → Data Harmonization & Deduplication (Create unified and consistent records) → Data Cleansing (Resolve errors and improve data reliability) → Data Enrichment (Enhance data with additional business context) → Automated Data Quality (Use AI-powered agents to identify, cleanse, enrich, harmonize, and optimize data at scale) → Data Migration (Prepare, map, and validate data for target systems) → Data Governance (Ensure ownership, control, and sustainable quality)

Average Rating: 4.7/5.0

Total Reviews: 23

How Do G2 Users Rate Data Quality Navigator?

  • Quality of Support: 9.6/10 (Category avg: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Identification: 9.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Data Quality Navigator?

  • Seller: BearingPoint
  • Company Website:
  • Year Founded: 2002
  • HQ Location: Amsterdam, North Holland, Netherlands
  • Twitter: @BearingPoint
    7,317 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,087 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Large, 24% Small

What Are Recent G2 Reviews of Data Quality Navigator?

dbt

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

Average Rating: 4.7/5.0

Total Reviews: 208

How Do G2 Users Rate dbt?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind dbt?

  • Seller: Fivetran
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • Twitter: @fivetran
    5,767 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,902 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Analytics Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Medium, 27% Small

What Do G2 Reviewers Say About dbt?

AI-generated summary from verified user reviews

Pros
  • Users find dbt's ease of use exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
  • Users appreciate the maintainability and clarity of dbt's SQL code base, enhancing collaboration and data transformations.
  • Users value the automation of data workflows with dbt, enhancing maintainability and collaboration in SQL transformations.
  • Users love the ease of transforming data with dbt, allowing for organized and efficient analytics workflows.
  • Users value the data quality of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.
Cons
  • Users find that dbt has limited functionality due to rigidness and complex debugging, hindering project progress.
  • Users face dependency issues in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
  • Users find the steep learning curve of dbt daunting, needing mastery of concepts like Jinja and Git.
  • Users encounter poor error handling with unclear messages, making troubleshooting frustrating and complicating the user experience.
  • Users often face confusing error reporting and unclear messages, making troubleshooting and identifying issues challenging.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

DQLabs

DQLabs offers PRIZM, which is an AI-native platform that unifies context, data observability, and quality into a single control plane that continuously understands data, evaluates its trustworthiness, and operates across the enterprise. PRIZM is used by enterprises to detect, explain, and resolve data issues before they impact analytics or AI systems and orchestrate resolution with minimal human intervention, while keeping humans in control through AI stewardship.

Average Rating: 4.6/5.0

Total Reviews: 43

How Do G2 Users Rate DQLabs?

  • Quality of Support: 9.5/10 (Category avg: 8.9/10)
  • Automation: 9.5/10 (Category avg: 8.7/10)
  • Identification: 9.5/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind DQLabs?

  • Seller: DQLabs
  • Year Founded: 2020
  • HQ Location: Pasadena, California
  • Twitter: @DQLABSAI
    246 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    111 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 44% Medium, 20% Large

What Do G2 Reviewers Say About DQLabs?

AI-generated summary from verified user reviews

Pros
  • Users commend DQLabs for its exceptional data quality features, significantly enhancing data management and user experience.
  • Users appreciate the ease of use of DQLabs, allowing effortless navigation without the need for technical training.
  • Users praise DQLabs for its efficiency improvement, enhancing data quality and decision-making through seamless automation.
  • Users value DQLabs for its automation capabilities, enhancing data management and accessibility for all team members.
  • Users appreciate the no-code experience and automated observability of DQLabs, enhancing accessibility and data integrity effortlessly.
Cons
  • Users note a documentation gap in DQLabs, indicating a need for more detailed configuration guidance.
  • Users note the need for more real-time customer use cases as some features of DQLabs are still maturing.
  • Users may find the complexity of unstructured data challenging when using DQLabs, impacting their overall experience.
  • Users may struggle with data management issues, particularly when dealing with unstructured data in DQLabs.
  • Users feel the customization options for data quality rules lack flexibility, limiting their ability to meet specific needs.

What Are Recent G2 Reviews of DQLabs?

What Are G2 Users Discussing About DQLabs?

D&B Connect

D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B Connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall data health. Integrations with Master Data Management Platforms, Customer Data Platforms, and CRMs enable automated data updates and anomaly detection through the identity resolution engine. MAP integrations allow for the automation of cross-channel marketing tasks on social media, email, and websites.

Average Rating: 4.1/5.0

Total Reviews: 131

How Do G2 Users Rate D&B Connect?

  • Quality of Support: 8.5/10 (Category avg: 8.9/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Identification: 8.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind D&B Connect?

  • Seller: Dun & Bradstreet
  • Company Website:
  • HQ Location: Short Hills, NJ
  • Twitter: @DunBradstreet
    22,541 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,735 employees on LinkedIn®
  • Ownership: NYSE: DNB

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 31% Small

What Do G2 Reviewers Say About D&B Connect?

AI-generated summary from verified user reviews

Pros
  • Users find D&B Connect to be very easy to use, maximizing efficiency in data qualification and marketing research.
  • Users value the data accuracy of D&B Connect, enhancing their data quality efforts and supporting company growth.
  • Users value the comprehensive data quality features of D&B Connect, enhancing their data management efforts significantly.
  • Users value the accuracy of D&B Connect, enhancing credibility and supporting precise risk assessments in business operations.
  • Users value the comprehensive B2B data coverage of D&B Connect, enhancing their data management and insights collection.
Cons
  • Users find limited functionality in D&B Connect, struggling with credit tracking, contact matching, and data input controls.
  • Users report a challenging learning curve with D&B Connect, indicating the need for additional training to use effectively.
  • Users feel that D&B Connect is expensive, primarily benefiting larger enterprises while posing challenges for smaller businesses.
  • Users find limited functionality in D&B Connect, struggling with account creation and tracking of contact information.
  • Users are frustrated by the outdated data that delays updates and limits access to essential firmographic fields.

What Are Recent G2 Reviews of D&B Connect?

What Are G2 Users Discussing About D&B Connect?

Quest Data Intelligence

Quest Data Intelligence ensures trusted data and AI models are easy to find, understand, govern, score and use across your enterprise. With Quest Data Intelligence, organizations reduce operational risk, ensure regulatory oversight, and improve trust in analytics and AI through a transparent, explainable data foundation.

Average Rating: 4.3/5.0

Total Reviews: 30

How Do G2 Users Rate Quest Data Intelligence?

  • Quality of Support: 8.1/10 (Category avg: 8.9/10)
  • Automation: 10.0/10 (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 Quest Data Intelligence?

  • Seller: Quest Software
  • Company Website:
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 37% Medium, 37% Small

What Do G2 Reviewers Say About Quest Data Intelligence?

AI-generated summary from verified user reviews

Pros
  • Users value the strong end-to-end governance support of Quest Data Intelligence, enhancing regulatory mapping and compliance efforts.
  • Users value the strong end-to-end governance and effective database scanning for comprehensive data mapping in regulatory work.
  • Users value the end-to-end governance and comprehensive database scanning for effective data hierarchy mapping in regulatory tasks.
  • Users value the strong end-to-end governance in Quest Data Intelligence, enhancing regulatory compliance and data hierarchy mapping.
Cons
  • Users find the cost steep, needing substantial justification for the investment in Quest Data Intelligence.
  • Users find the outdated design of Quest Data Intelligence less appealing compared to more modern tools.
  • Users find the poor customer support insufficient for maintaining the software, complicating their overall experience.
  • Users find the poor interface design detracts from usability and makes the tool less appealing compared to others.
  • Users struggle with the user adoption difficulty due to a less polished UI and the need for extensive support.

What Are Recent G2 Reviews of Quest Data Intelligence?

Data8 - Data Quality Solutions

Data8, is a leading data quality management company specialising in data validation, deduplication, data cleansing, data quality, and data migration solutions. We help businesses across every sector enhance the accuracy and value of their data for better decision-making and results, ensuring data is accurate, compliant, and strategically beneficial. Our core features and solutions include: - Data Validation [Address, Bank, phone name and email address] - Data Suppression Services - Eircode, UPRN and Address Lookup - Data Deduplication and Merge - PAF Cleansing Services - Predictive Address [Autocomplete] - Data Quality Monitoring - Preference Services - Business Insights - Data Migration - Automated Data Cleansing - Data Appending and Enhancement Services What is data quality? Data quality means data must be: - Accurate: correct and true - Complete: no missing pieces - Consistent: uniform across systems - Valid: follows proper formats - Timely: current and available - Unique: no duplicates - Reliable: trustworthy Why is data quality important? rectify inaccuracies to optimize marketing efforts. Address validation services verify and standardize addresses, improving communication, reducing delivery errors, and cutting costs. These tools empower businesses to achieve compliance, boost sales, and improve marketing ROI. Why Choose Data8? Since 2005, Data8 has delivered award-winning data quality solutions that help businesses clean, enhance, and maximise their data’s value. - Royal Mail PAF updated data - Award-winning data solutions [The Queen’s Award, 2022] - We work with over 1,000 businesses worldwide - ISO27001 certified - 5-star G2 ratings - Royal Mail PAF updated data We provide versatile solutions tailored to diverse client needs. Our services support targeted marketing, compliance reporting, and more, positioning Data8 as an essential partner for organizations seeking to leverage data for growth. Contact us to explore how you can build confidence in your data.

Average Rating: 4.9/5.0

Total Reviews: 33

How Do G2 Users Rate Data8 - Data Quality Solutions?

  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Automation: 8.5/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Data8 - Data Quality Solutions?

  • Seller: Data8
  • Company Website:
  • Year Founded: 2005
  • HQ Location: Ellesmere Port, England, United Kingdom
  • Twitter: @data8ltd
    1,261 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 41% Small, 32% Medium

What Do G2 Reviewers Say About Data8 - Data Quality Solutions?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of Data8's solutions, noting quick cleanup processes and minimal training required.
  • Users appreciate the quick and helpful customer support, especially noting the exceptional service from the support team.
  • Users appreciate the efficient data cleansing process of Data8, emphasizing its simplicity and exceptional support throughout.
  • Users appreciate the ease of duplicate management with Data8, simplifying record cleansing and enhancing CRM efficiency.
  • Users commend the easy setup of Data8, appreciating clear documentation and seamless integration with Microsoft Dynamics.
Cons
  • Users find the difficult setup process challenging, requiring careful attention to instructions for proper configuration.
  • Users wish for more limited customization options in address standardization to better suit their specific needs.

What Are Recent G2 Reviews of Data8 - Data Quality Solutions?

Planhat

Planhat is an agentic customer platform, built to give humans and AI agents the full context they need to drive exceptional customer outcomes. Commercial teams at B2B enterprises use Planhat to automate workflows across the entire customer lifecycle, from onboarding and expansion to renewals and scaled customer success, turning better outcomes into revenue growth and enduring profitability. The platform spans three solutions; a category-leading Customer Success Platform (CSP), a comprehensive CRM system, and most recently, an AI-native Professional Services Automation (PSA) offering. The PSA brings resource management, project delivery, and services revenue into the same unified data model that has powered Planhat's category leading CSP for over a decade, helping teams drive adoption, reduce churn, and identify expansion opportunities through Customer 360 profiles, health scoring, and customer analytics. Core capabilities include AI workflows, conversational AI, and customer portals, all based on high-fidelity time-series data. Planhat serves organizations across software, IT and telecoms, healthcare & life sciences, financial services, and security.

Average Rating: 4.5/5.0

Total Reviews: 947

How Do G2 Users Rate Planhat?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Automation: 8.4/10 (Category avg: 8.7/10)
  • Identification: 7.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Planhat?

  • Seller: Planhat
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Stockholm, Stockholm County
  • Twitter: @planhat
    1,045 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    248 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Customer Success Manager, Head of Customer Success
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Medium, 31% Small

What Do G2 Reviewers Say About Planhat?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Planhat exceptional, facilitating smooth integration and team adoption.
  • Users commend the exceptional customer support from Planhat, enhancing their experience and ensuring effective collaboration.
  • Users value the extensive customization options in Planhat, enhancing their experience and streamlining workflows effectively.
  • Users appreciate the automation efficiency of Planhat, enhancing their workflow and streamlining customer management seamlessly.
  • Users value the helpfulness of Planhat, noting its excellent support and comprehensive features for managing customer success.
Cons
  • Users find the learning curve steep, struggling to navigate features and setup pages during initial use of Planhat.
  • Users find the complexity of Planhat daunting, with a challenging learning curve that hinders initial usability.
  • Users note a steep learning curve with Planhat, though support accelerates the process and enhances understanding.
  • Users face integration issues with Planhat, causing challenges in data management and trustworthiness among teams.
  • Users find the formula fields restrictive, desiring greater flexibility and automation for easier customization and efficiency.

What Are Recent G2 Reviews of Planhat?

What Are G2 Users Discussing About Planhat?

Demandbase One

Demandbase is the leading, enterprise-grade account-based GTM platform for sales and marketing teams designed to make every moment and every dollar count. Since creating the category in 2013, we have been pioneering technologies to sharpen revenue teams’ ability to confidently deliver the right message to the right customers at the right time. Powered by industry-leading data, our transparent and tunable AI-enhanced model, and integrations that meet your tech stack where it is, Demandbase helps you to take meaningful action confidently and efficiently. We know that there’s no such thing as ‘one-size- fits-all’ account-based marketing and sales. That’s why we built our platform to be flexible, easily handling dynamic GTM motions, nuanced business rules, and diverse integrations that others struggle with. Demandbase One™ is your account-based GTM command center, powering your entire revenue stack. Our AI-driven engine unifies first and third-party data, streamlines cross-channel execution, and connects the tools in your stack with the same data, insights, and workflows to accelerate your revenue.

Average Rating: 4.4/5.0

Total Reviews: 1,945

How Do G2 Users Rate Demandbase One?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Automation: 9.0/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Demandbase One?

  • Seller: Demandbase
  • Company Website:
  • Year Founded: 2005
  • HQ Location: San Francisco, CA
  • Twitter: @Demandbase
    21,346 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    989 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Executive, Business Development Representative
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 32% Large

What Do G2 Reviewers Say About Demandbase One?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Demandbase One, enabling quick campaign launches and efficient audience targeting.
  • Users value the comprehensive tools in Demandbase One, which enhance clarity and efficiency across account management.
  • Users value the variety of powerful tools in Demandbase One that enhance account targeting and analytics effectively.
  • Users value the unified data integration of Demandbase One, enhancing targeted audience building and workflow efficiency.
  • Users value the ability to combine intent and website traffic data, enhancing decision-making across their organization.
Cons
  • Users find the learning curve challenging, often needing more training to fully utilize Demandbase One's features.
  • Users experience a steep learning curve that can be frustrating when navigating the extensive features of Demandbase One.
  • Users find the complexity of reporting and customization options can hinder optimal use of Demandbase One.
  • Users find the learning difficulty of Demandbase One challenging, especially for those lacking technical expertise during setup.
  • Users find Demandbase One to have a difficult learning curve that complicates initial usage and requires time to master.

What Are Recent G2 Reviews of Demandbase One?

What Are G2 Users Discussing About Demandbase One?

Atlan

Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.

Average Rating: 4.5/5.0

Total Reviews: 134

How Do G2 Users Rate Atlan?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Automation: 7.7/10 (Category avg: 8.7/10)
  • Identification: 7.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's intuitive user interface and seamless integration, enhancing collaboration and administrative efficiency.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value the lineage feature of Atlan for its ability to seamlessly integrate and reveal data dependencies.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users find the learning curve steep with Atlan, requiring time to fully leverage its extensive features.
  • Users note limited functionality in Atlan, particularly with AI capabilities and integration options across teams and tools.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.
  • Users find the difficult learning curve with Atlan challenging, particularly due to its many features and configurations.
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.

What Are Recent G2 Reviews of Atlan?

Melissa Data Quality Suite

Since 1985, Melissa Data Quality Suite is the ultimate solution for contact data management, combining AI powered, gold-standard reference data to ensure your data is accurate, complete, and actionable. From data cleansing to real-time data enrichment, our solution leverages Unison to continuously learn and improve data quality by verifying and correcting contact data such as names, phone numbers, emails, and addresses. Name Verification: With intelligent recognition capabilities, Melissa identifies, genderizes, and parses over 650,000 ethnically-diverse names. This feature helps you understand and manage customer identities more effectively, ensuring your data is both accurate and inclusive. Phone Verification: Our phone verification tool checks the liveness, type, and ownership of both landline and mobile numbers. Supporting international phone validation, this tool helps you ensure that your contact numbers are active and valid, reducing communication errors and improving outreach efficiency. Email Verification: Melissa’s email verification process corrects and validates domains, syntax, and spelling, while also testing SMTP to ensure global email validation. This includes email list validation to minimize bounce rates, boost response rates, and improve deliverability for your marketing campaigns. Address Verification: Our suite provides comprehensive address verification to validate, correct, and standardize addresses. Whether you need batch processing, real-time validation at the point of entry, or single-address lookups with instant results, Melissa ensures accuracy for the U.S., Canada, and over 240 countries and territories. This leads to improved deliveries, enhanced customer service, and bulk mail discounts. Experience Flexibility at its Finest: The Data Quality Suite is available via multiplatform on-premise APIs and Web Service/Cloud APIs. This flexibility ensures scalability, security, and adaptability to fit any business size or requirement. Seamlessly integrate data verification, enrichment, and cleansing into your web applications and business processes. Why Melissa? Melissa has been a leader in data quality since 1985, setting the standard with AI-powered, gold-standard reference data that surpass the competition. Our expertise in address solutions and data management has earned us the trust of over 10,000 global customers, who rely on us to improve their business intelligence, streamline operations, and enhance their bottom line. Discover why Melissa is the go-to choice for data quality and start your free trial today at Melissa Data Quality Suite. Explore how we can help you achieve precise data management and operational excellence. Contact us for a personalized quote or explore our robust enterprise package. Additionally, take advantage of our trial version to experience the suite firsthand. Try Data Quality Suite today for free! https://www.melissa.com/lp/g2-dqsuite

Average Rating: 4.4/5.0

Total Reviews: 80

How Do G2 Users Rate Melissa Data Quality Suite?

  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Automation: 9.1/10 (Category avg: 8.7/10)
  • Identification: 8.9/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Melissa Data Quality Suite?

  • Seller: Melissa
  • Company Website:
  • Year Founded: 1985
  • HQ Location: Rancho Santa Margarita, CA
  • Twitter: @melissadata
    2,435 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    762 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Real Estate, Marketing and Advertising
  • Company Size: 68% Small, 21% Medium

What Do G2 Reviewers Say About Melissa Data Quality Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the accuracy of Melissa Data Quality Suite, which enhances communication by ensuring reliable contact information.
  • Users value the user-friendly interface of Melissa Data Quality Suite, enabling quick and efficient data validation.
  • Users appreciate the accuracy of information provided by Melissa Data Quality Suite, enhancing communication and reducing errors.
  • Users value the accuracy and efficiency of Melissa Data Quality Suite, enhancing communication and saving time on error correction.
  • Users appreciate the easy integrations with the API and Excel plugin, streamlining data validation and enhancement.
Cons
  • Users report accuracy issues with the Melissa Data Quality Suite, impacting workflow and leading to missed errors.
  • Users find the complexity of integration and training with Melissa Data Quality Suite challenging, affecting overall usability.
  • Users find the difficult learning curve challenging, particularly with the confusion surrounding multiple data validation options.
  • Users express concern over the expensive pricing of the Melissa Data Quality Suite, impacting their budget constraints.
  • Users find that improvement is needed in integration complexity, training requirements, and occasional performance issues with Melissa Data Quality Suite.

What Are Recent G2 Reviews of Melissa Data Quality Suite?

What Are G2 Users Discussing About Melissa Data Quality Suite?

Validity Engage

Validity Engage is an AI-native platform built for high-volume enterprise marketing teams that want every email to be better than the last. It covers the full email lifecycle: competitor intelligence, contact validation, design and testing, deliverability, and live email monitoring. Engage unifies capabilities formerly delivered across separate Validity products: (Formerly) Validity Litmus: Broken links, brand inconsistencies, and rendering issues that slip through review erode subscriber trust. Engage's email building, QA testing, spam filter testing, and accessibility checks—backed by LLM powered spelling and grammar review—catch issues before they reach a subscriber, giving teams control without slowing production. (Formerly) Validity Everest: Unnoticed deliverability issues quietly drain revenue. Engage's inbox placement and deliverability monitoring shows exactly where your emails land across every major provider, giving teams the visibility to catch problems and stay off blocklists. (Formerly) Validity BriteVerify: Invalid contact data drives up bounces and damages sender reputation. Engage's contact and email validation keeps the data behind every send accurate—automatically. It gives teams the confidence to send at scale without second-guessing the list. Engage also adds proprietary competitor intelligence, showing you what's working across the market before a campaign even sends. Sender Certification, an upgrade available with Engage, helps senders reach more inboxes—and stay there—as a trusted sender. Engage’s insights are powered by the Validity Intelligence Network, built on 25 years of exclusive partnerships, real-time visibility into inboxes worldwide, and signals from across the email ecosystem. The network spans more than 140 ISPs, tracks 35,000-plus brands, and processes 2.5 billion behavioral data points every day. Engage puts that intelligence to work through a team of agents that watch performance around the clock, recommend the next best action, and fine-tune campaigns without waiting to be asked.

Average Rating: 4.5/5.0

Total Reviews: 973

How Do G2 Users Rate Validity Engage?

  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.7/10)
  • Identification: 9.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Validity Engage?

  • Seller: Validity Inc
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Boston, Massachusetts
  • Twitter: @TrustValidity
    1,151 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    349 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Marketing Manager, Email Marketing Manager
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 44% Medium, 29% Small

What Do G2 Reviewers Say About Validity Engage?

AI-generated summary from verified user reviews

Pros
  • Users value the dynamic previews of Litmus, enhancing email rendering insights across devices and clients.
  • Users value the effective email automation and personalization features of Validity Engage, boosting campaign optimization and engagement.
  • Users value the ease of use of Validity Engage, praising its intuitive interface and streamlined collaboration features.
  • Users love the detailed dynamic previews of Litmus, enhancing email design across multiple devices and platforms.
  • Users value the detailed analytics provided by Litmus for optimizing email performance across devices and clients.
Cons
  • Users find the absence of key features frustrating, particularly regarding template sharing and an undo option.
  • Users often experience slow performance with Validity Engage when switching previews and rendering email tests.
  • Users find Validity Engage to be quite expensive, with many features locked behind higher cost tiers.
  • Users express concerns about email client settings rigidity and the need for improved customization and error visibility.
  • Users are frustrated by the slow loading times for tests, negatively impacting efficiency and productivity.

What Are Recent G2 Reviews of Validity Engage?

What Are G2 Users Discussing About Validity Engage?

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