Best Data Quality Tools for Small Business

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 350

Category Stats (Nov 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Collate (+2.22%) - Among all products in this category, Collate recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,900+ Authentic Reviews
  • 350+ 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: HubSpot Data Hub, SAS Viya, GTM Studio - Powered by ZoomInfo, dbt, Loqate, Insycle, Traction Complete, and Melissa Data Quality Suite.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=hubspot-data-hub&focus%5B%5D=sas-sas-viya&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=dbt&focus%5B%5D=gbg-plc-loqate&focus%5B%5D=insycle&focus%5B%5D=traction-complete&focus%5B%5D=melissa-data-quality-suite&segment=small-business)

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: 628

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: 8.8/10)
  • Identification: 9.1/10 (Category avg: 9.0/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®
  • Ownership: NYSE:HUBS

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 find HubSpot Data Hub's ease of use instrumental in creating workflows and maintaining clean, contextual records.
  • Users benefit from automation features in HubSpot Data Hub, enhancing data quality and simplifying workflow management.
  • Users value the clean user interface and consistent field logic of HubSpot Data Hub for effective data management.
  • Users value the seamless integrations of HubSpot Data Hub, enhancing data centralization and management across multiple sources effortlessly.
  • Users value the efficiency of HubSpot Data Hub in centralizing and automating data management, resulting in cleaner workflows.
Cons
  • Users find limitations in data mapping flexibility and encounter difficulties with email differentiation, impacting effectiveness.
  • Users express frustration with missing features in HubSpot Data Hub, particularly around data flexibility and customer support limitations.
  • Users find the learning curve steep with HubSpot Data Hub, especially for advanced features and complex configurations.
  • Users find the pricing prohibitive for smaller companies, with limitations on features and support scaling back.
  • Users find the complexity of setup and learning curve of HubSpot Data Hub to be a significant challenge.

What Are Recent G2 Reviews of HubSpot Data Hub?

What Are G2 Users Discussing About HubSpot Data Hub?

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: 793

How Do G2 Users Rate SAS Viya?

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

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 34% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAS Viya, thanks to its simple syntax and integrated features for analytics.
  • Users commend SAS Viya for its powerful and sophisticated features that enhance data analysis and collaboration across teams.
  • Users value the powerful analytics and integration features of SAS Viya, significantly enhancing data analysis capabilities.
  • Users value the powerful data analysis capabilities of SAS Viya, enhancing efficiency and integration for various tasks.
  • Users value the modern, intuitive user interface of SAS Viya, enhancing productivity with seamless navigation and integration.
Cons
  • Users find the learning difficulty of SAS Viya challenging, especially for beginners due to its complexity and limited resources.
  • Users find SAS Viya has a steep learning curve, making it challenging for newcomers to grasp effectively.
  • Users find SAS Viya's complexity and steep learning curve challenging, hindering effective use and self-learning opportunities.
  • Users find the difficult learning curve of SAS Viya challenging, especially for beginners seeking easier comprehension.
  • Users find the licensing costs of SAS Viya to be prohibitively expensive, especially for features they don't use.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

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: 3,397

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: 8.8/10)
  • Identification: 9.0/10 (Category avg: 9.0/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    9,779 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Executive, Customer Success Manager
  • Top Industries: Computer Software, Information Technology and Services
  • 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 advanced filtering and segmentation features of GTM Studio, enhancing targeting and campaign effectiveness.
  • Users find the lead enrichment capabilities of GTM Studio invaluable for targeted and effective demand generation campaigns.
  • Users appreciate the ease of use in GTM Studio, highlighting its simple navigation and straightforward setup process.
  • Users value the accuracy of data in GTM Studio, enabling precise targeting and effective demand generation campaigns.
  • Users value the high accuracy of data in GTM Studio, significantly enhancing targeting and campaign effectiveness.
Cons
  • Users feel that the pricing is expensive, especially for small teams, necessitating careful use of credits.
  • Users experience data inaccuracy, with outdated information and the need for manual validation affecting reliability.
  • Users find the cost to be high for small teams, impacting accessibility despite comparable market pricing.
  • Users find the platform to have a steep learning curve, making it complex and overwhelming for new users.
  • Users find the steep learning curve of GTM Studio challenging, particularly impacting new users' ability to navigate the platform.

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

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

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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: 209

How Do G2 Users Rate dbt?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.8/10)
  • Identification: 8.7/10 (Category avg: 9.0/10)
  • 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
  • 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 appreciate the ease of use of dbt, benefiting from its simple setup and efficient data transformation processes.
  • Users value the ease of use and structured approach of dbt, enhancing collaboration and reliability in data transformation.
  • Users value the automation of data modeling in dbt, enhancing trust and accuracy in their analytics processes.
  • Users value the organized and predictable structure of dbt, enhancing their analytics workflow and fostering collaboration.
  • Users value the easy integrations of dbt, streamlining data workflows and enhancing collaboration without added delays.
Cons
  • Users often experience limited functionality due to issues like debugging complexities and rigid project structures, hindering progress.
  • Users face dependency issues with dbt, leading to inflexibility, time-consuming debugging, and increased project complexity.
  • Users find the steep learning curve of dbt challenging, complicating onboarding and slowing down project progression.
  • Users experience vague error messages that complicate debugging and troubleshooting in dbt, hindering their workflow efficiency.
  • Users find error reporting and troubleshooting difficult, often facing vague messages that hinder debugging and workflow efficiency.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

Loqate

GBG Loqate is the world’s leading address verification provider, trusted by over 20,000 brands including IBM, Mastercard, ASOS, Oracle and Sephora. Global coverage across 250 countries and territories delivers local precision, even in hard-to-address markets. Reach is GBG Loqate’s agentic-ready decisioning layer for customer contact data. Built on GBG Loqate verification, it cleanses your customer contact data, turning address, email and phone checks into a confidence score and an accept, review or reject recommendation, shaped by the policy you set, so your agents know exactly what to do with every record, with every decision evidenced. Address Capture offers intuitive suggestions and auto-correction for accurate data at the point of entry. Address Verify corrects, parses, formats and enriches addresses, with AI parsing that significantly uplifts match rates. Phone and Email Validation checks data in real time, reducing errors and fraud, and Store Finder helps customers find physical locations anywhere. GBG Loqate helps you reach customers the first time, every time, for fewer failed deliveries, fewer dropped applications and trusted contact data automation.

Average Rating: 4.5/5.0

Total Reviews: 61

How Do G2 Users Rate Loqate?

  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Automation: 8.3/10 (Category avg: 8.8/10)
  • Identification: 9.3/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Loqate?

  • Seller: GBG
  • Company Website:
  • Year Founded: 1989
  • HQ Location: Chester, United Kingdom
  • LinkedIn® Page: www.linkedin.com
    1,377 employees on LinkedIn®
  • Ownership: LSE:GBG

Who Uses This Product?

  • Top Industries: Retail
  • Company Size: 48% Small, 32% Medium

What Do G2 Reviewers Say About Loqate?

AI-generated summary from verified user reviews

Pros
  • Users value the user-friendly interface of Loqate, enhancing address verification and integration effortlessly.
  • Users value the reliable and accurate address verification offered by Loqate, enhancing data quality and user convenience.
  • Users appreciate the reliable and accurate address verification of Loqate, enhancing data quality and reducing delivery errors.
  • Users commend the exceptional customer support from Loqate, ensuring prompt and effective assistance throughout their experience.
  • Users highlight the reliable and accurate address verification of Loqate, significantly enhancing data quality and reducing errors.
Cons
  • Users find the pricing to be high, making it less accessible for smaller businesses to effectively use Loqate.
  • Users find the high cost of Loqate challenging, especially for smaller businesses, impacting their overall experience.
  • Users note the geographical limitations of Loqate, lacking extensive coverage compared to competitors like Google.
  • Users find integration challenges with Loqate compared to Google, requiring ongoing engagement for comprehensive data access.
  • Users find the address range limited compared to competitors, lacking essential taxation support for enhanced functionality.

What Are Recent G2 Reviews of Loqate?

What Are G2 Users Discussing About Loqate?

Insycle

Insycle is a powerful and intuitive solution that keeps your CRM data clean, accurate, and organized. Insycle integrates with HubSpot, Salesforce, Pipedrive, and more, giving users the power to achieve and maintain pristine customer data. Insycle centralizes data management processes, including deduplication, data standardization, data enrichment, and field management — all in a no-code environment. Insycle doesn’t just stop at cleaning your data—it empowers your entire team to make better, more informed decisions. Whether you’re a marketer segmenting your audience, a sales leader refining your pipeline, or an operations professional maintaining data hygiene, Insycle provides the comprehensive tools you need to keep your CRM data in top shape. For users with both HubSpot and Salesforce, Insycle is uniquely able to ensure the sync between the platforms doesn’t break as well as identify duplicates and inconsistencies and give you the tools to fix them in a few clicks. Insycle’s most-loved features include: Deduplication: Analyze millions of records in seconds and get a detailed report of all duplicates. Use flexible matching and bulk merging to quickly eliminate duplicates. And automatically avoid creating duplicates for new records. Data Standardization: Standardize data in any field and create your own processes and templates to solve unique standardization problems. Works on any CRM data field — across contacts, companies, and deals. Data Maintenance Automation: Automate your data-management processes with workflows. Use the CRM Health Assessment tool to run reports and identify data issues. Recognized for its ease of use, robust functionality, and outstanding customer support, Insycle is the go-to solution for businesses looking to eliminate data chaos, enhance data quality, and turn their CRM into a powerful, growth-driving asset — just check out our reviews! Go to www.insycle.com to get a 14-day free trial.

Average Rating: 4.6/5.0

Total Reviews: 216

How Do G2 Users Rate Insycle?

  • Quality of Support: 9.4/10 (Category avg: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.8/10)
  • Identification: 9.0/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 9.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Insycle?

  • Seller: Insycle
  • Company Website:
  • Year Founded: 2016
  • HQ Location: New York
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Revenue Operations Manager, Marketing Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 43% Small

What Do G2 Reviewers Say About Insycle?

AI-generated summary from verified user reviews

Pros
  • Users find Insycle's ease of use remarkable, simplifying data management and enhancing efficiency in HubSpot.
  • Users commend Insycle for its data accuracy capabilities, effectively cleaning and maintaining high-quality data effortlessly.
  • Users appreciate the duplicate management features of Insycle, making data cleanup fast, efficient, and reliable.
  • Users find the HubSpot integration seamless, enhancing data management with automated, efficient workflows and easy setup.
  • Users praise Insycle for its excellent customer support, highlighting the team's attentiveness and effective onboarding process.
Cons
  • Users find the learning curve challenging, especially for non-technical users trying to build rules and templates.
  • Users find Insycle not user-friendly initially due to its learning curve and unintuitive interface elements.
  • Users find Insycle to be expensive, especially for large accounts, and uncertain about its functionalities and value.
  • Users express concerns over complexity and high cost, noting difficulties in setup and uncertainty about functionalities.
  • Users find the interface not intuitive initially, facing a learning curve and requiring more guidance and template suggestions.

What Are Recent G2 Reviews of Insycle?

What Are G2 Users Discussing About Insycle?

Traction Complete

Traction Complete's RevOps Data Management Suite for Salesforce helps revenue operations teams cleanse, connect, and orchestrate data. Since 2019, we've been on a mission to automate complex data tasks in Salesforce, empowering organizations like Asana, Zoom, and YMCA to save time and scale faster. Say hello and learn more at www.tractioncomplete.com. COMPLETE LEADS Speed up, sell more, and keep your revenue teams in sync with the most flexible matching and routing solution built for Salesforce. COMPLETE HIERARCHIES Maximize revenue across your largest customers with the only automated account hierarchy solution for Salesforce. COMPLETE CLEAN Detect and remove duplicates with our data cleansing tool for Salesforce so you can focus on growing revenue with clean, connected data. COMPLETE INFLUENCE Close more deals by helping your sellers visualize organizational structures and identify the stakeholders with influence over their deals. COMPLETE AI Bring context to every record, flow, and decision with AI built directly into Salesforce. Normalize, validate, enrich, and activate your data automatically so RevOps teams can move faster without manual research or guesswork. COMPLETE DISCOVER Experiment with AI-powered enrichment and data logic before committing changes to Salesforce. Test, learn, and refine in a safe environment, then confidently apply what works to keep your CRM clean, complete, and governed.

Average Rating: 4.7/5.0

Total Reviews: 201

How Do G2 Users Rate Traction Complete?

  • Quality of Support: 9.7/10 (Category avg: 8.9/10)
  • Automation: 9.7/10 (Category avg: 8.8/10)
  • Identification: 9.6/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Traction Complete?

  • Seller: Traction Complete
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Vancouver, British Columbia
  • LinkedIn® Page: www.linkedin.com
    88 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Administrator, Marketing Operations Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 53% Medium, 32% Large

What Do G2 Reviewers Say About Traction Complete?

AI-generated summary from verified user reviews

Pros
  • Users commend the stellar customer support of Traction Complete, appreciating their knowledge and responsiveness throughout the implementation process.
  • Users enjoy the ease of use of Traction Complete, appreciating its intuitive interface and straightforward setup.
  • Users value the effective lead generation capabilities of Traction Complete, enhancing data organization and operational efficiency.
  • Users appreciate the excellent customer service from Traction Complete, receiving prompt assistance and thorough guidance throughout the process.
  • Users value the routing efficiency of Traction Complete, enhancing data management and resource optimization in operations.
Cons
  • Users note the administrative requirement as a key limitation, complicating access for non-admin users.
  • Users find the learning curve steep, especially during initial setup, but support helps ease the process.
  • Users find the complexity of navigation in Traction Complete can be confusing, especially for infrequent users.
  • Users note a steep learning curve with Traction Complete, necessitating time and effort for mastery despite great support.
  • Users find the interface not intuitive, especially for occasional users navigating complex setups without regular usage.

What Are Recent G2 Reviews of Traction Complete?

What Are G2 Users Discussing About Traction Complete?

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 250 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: 84

How Do G2 Users Rate Melissa Data Quality Suite?

  • Quality of Support: 9.1/10 (Category avg: 8.9/10)
  • Automation: 9.1/10 (Category avg: 8.8/10)
  • Identification: 8.9/10 (Category avg: 9.0/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    762 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Real Estate, Marketing and Advertising
  • Company Size: 66% Small, 23% Medium

What Do G2 Reviewers Say About Melissa Data Quality Suite?

AI-generated summary from verified user reviews

Pros
  • Users value the reliable accuracy of Melissa Data Quality Suite, enhancing effective communication and saving time on corrections.
  • Users appreciate the ease of use of Melissa Data Quality Suite, enabling quick and efficient data validation effortlessly.
  • Users commend the reliability and accuracy of Melissa Data Quality Suite, enhancing communication and saving valuable resources.
  • Users praise the easy integrations of Melissa Data Quality Suite, appreciating smooth API integration and developer efficiency.
  • Users praise the accuracy of information in Melissa Data Quality Suite, enhancing communication and saving valuable resources.
Cons
  • Users find the complexity of integration with existing systems and training to be a significant challenge.
  • Users find the limited functionality of Melissa Data Quality Suite restricts performance and integration capabilities, causing workflow issues.
  • Users report accuracy issues with the Melissa Data Quality Suite, experiencing missed errors that hinder efficiency.
  • Users find the difficult learning curve of Melissa Data Quality Suite challenging, particularly with its numerous data validation options.
  • Users find the cost of the Melissa Data Quality Suite to be a potential strain on their budget.

What Are Recent G2 Reviews of Melissa Data Quality Suite?

What Are G2 Users Discussing About Melissa Data Quality Suite?

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: 34

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: 8.8/10)
  • Identification: 8.8/10 (Category avg: 9.0/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Small, 31% Medium

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

AI-generated summary from verified user reviews

Pros
  • Users find Data8's solutions to be easy to use, with intuitive interfaces and quick, helpful responses enhancing efficiency.
  • Users commend the exceptional customer support from Data8, highlighting quick responses and professional assistance throughout their experience.
  • Users value Data8 for its reliable and accurate data quality solutions, enhancing overall data management efficiency.
  • Users praise the efficient duplicate management of Data8, which simplifies record cleansing and enhances CRM accuracy effortlessly.
  • Users praise the easy setup of Data8 solutions, benefiting from clear documentation and seamless integration with Microsoft Dynamics.
Cons
  • Users note a difficult setup, requiring careful attention to instructions and familiarity for effective configuration.
  • Users desire more flexibility, as the limited customization of address standardization does not meet their specific requirements.

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: 953

How Do G2 Users Rate Planhat?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Automation: 8.4/10 (Category avg: 8.8/10)
  • Identification: 7.6/10 (Category avg: 9.0/10)
  • 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
  • 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: 59% Medium, 32% Small

What Do G2 Reviewers Say About Planhat?

AI-generated summary from verified user reviews

Pros
  • Users find Planhat to be intuitive and easy to use, enhancing team efficiency and workflow integration effortlessly.
  • Users praise Planhat for its excellent customer support, highlighting responsiveness and valuable feedback incorporation.
  • Users value the customization options in Planhat, facilitating tailored dashboards and enhanced insights for their teams.
  • Users appreciate the automation efficiency of Planhat, enabling streamlined workflows and seamless integration with key systems.
  • Users highly value the intuitive support Planhat provides, enhancing customer insights and operational efficiency.
Cons
  • Users find the learning curve challenging, especially with building metrics and dashboard customization, requiring considerable time and effort.
  • Users find the complexity in building metrics and dashboard customization frustrating and time-consuming in Planhat.
  • Users find the steep learning curve of Planhat challenging, often feeling overwhelmed by its extensive flexibility and features.
  • Users face integration issues with Planhat, often leading to complexities and difficulties in troubleshooting errors effectively.
  • Users find the dashboard customization and integration flexibility limited, making some tasks time-consuming and unintuitive.

What Are Recent G2 Reviews of Planhat?

What Are G2 Users Discussing About Planhat?

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: 579

How Do G2 Users Rate Monte Carlo?

  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Automation: 7.5/10 (Category avg: 8.8/10)
  • Identification: 8.1/10 (Category avg: 9.0/10)
  • 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
  • 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: 51% Large, 41% Medium

What Do G2 Reviewers Say About Monte Carlo?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Monte Carlo, benefiting from intuitive tools and quick navigation features.
  • Users appreciate the reliable alerts from Monte Carlo, enhancing confidence in code quality and bug detection.
  • Users appreciate the reliable monitoring of Monte Carlo, which enhances data quality and swiftly identifies issues in pipelines.
  • Users value the automated alerting system in Monte Carlo for its quick detection of data issues, enhancing reliability.
  • Users appreciate the reliable data quality of Monte Carlo, enhancing confidence and simplifying bug detection in their code.
Cons
  • Users express frustration with ineffective alert management, citing poor communication and unresponsive ML threshold adjustments.
  • Users often feel overwhelmed by alert overload due to ineffective ML threshold adjustments, leading to numerous false errors.
  • Users experience an inefficient alert system with Monte Carlo, leading to missed updates and numerous false errors.
  • Users find the UX improvements lacking, particularly in feature accessibility and efficiency in database selections.
  • Users express frustration with Monte Carlo's limited functionality, citing lack of coding options and delayed alerts for metric monitors.

What Are Recent G2 Reviews of Monte Carlo?

What Are G2 Users Discussing About Monte Carlo?

DemandTools

DemandTools is the enterprise-grade data quality engine tens of thousands of Salesforce admins trust. Deduplicate across any object, standardize and import data at scale, and apply mass updates with governance-level control. With DemandTools, you manage your CRM data in minutes, not months, so you always have accurate, AI-ready data enabling everyone to do their job more effectively, efficiently, and profitably. By fixing common data problems, automating data quality routines, and working within your specific processes and customizations, DemandTools gives stakeholders accurate insights and reporting, improves business efficiency, and gets you clean data faster, with less effort. DemandTools has 12 modules making it the most versatile and adaptable data quality solution for CRM. Data Quality Assessment Understand how strong or weak your data is and know where to focus remediation efforts. Module: Assess Duplicate Management Detect, eliminate, and prevent duplicate records from misleading your sales and marketing teams and causing friction in your customer journey. Modules: Dedupe, Convert, DupeBlocker, Match Data Migration Management Maintain data integrity while moving data into and out of Salesforce. Modules: Import, Export, Delete, Match Standardization, mass modification, and business insights. Apply record changes en masse and standardize data to get trustworthy insights in every report. Modules: Modify, Tune, Reassign Email Verification Verify email addresses in CRM to keep communication flowing with your customers. Module: Verify Get clean data and strengthen your business with DemandTools. Looking for more than data quality? Validity also offers Validity Engage, the trusted Enterprise AI platform for email marketing.

Average Rating: 4.5/5.0

Total Reviews: 276

How Do G2 Users Rate DemandTools?

  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.8/10)
  • Identification: 9.1/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind DemandTools?

  • Seller: Validity Inc
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Boston, Massachusetts
  • LinkedIn® Page: www.linkedin.com
    345 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Administrator
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 33% Large

What Do G2 Reviewers Say About DemandTools?

AI-generated summary from verified user reviews

Pros
  • Users find DemandTools to have an easy-to-use interface that allows for efficient data management and customization.
  • Users value the efficient duplicate management in DemandTools, greatly simplifying finding and reconciling duplicates.
  • Users appreciate the time-saving capabilities of DemandTools, streamlining data management and task execution efficiently.
  • Users value the efficiency of DemandTools, streamlining data management and making processes significantly faster and easier.
  • Users value the Salesforce integration of DemandTools for its ease of use and efficient data handling capabilities.
Cons
  • Users find the limited functionality of DemandTools frustrating, especially regarding tagging and historical data access.
  • Users find missing features in DemandTools, particularly in Dynamics support, record-level error details, and merge history.
  • Users find the learning curve steep, making DemandTools initially intimidating but easier with continued use.
  • Users feel the poor interface design of DemandTools detracts from its usability and overall appeal.
  • Users experience slow loading times, particularly when handling large datasets, affecting workflow and efficiency.

What Are Recent G2 Reviews of DemandTools?

WinPure Clean & Match

WinPure Clean & Match v11 is an extremely powerful data quality, data cleansing, data matching and entity resolution solution designed to help organisations turn inconsistent, duplicate and fragmented data into accurate, trusted and usable information. The platform provides an integrated environment for profiling, cleaning, standardising, matching, deduplicating and consolidating data, helping organisations improve data quality without having to move sensitive information to external cloud-based processing services. WinPure Clean & Match can be used across customer, business, supplier, patient, citizen, product and other operational datasets where identifying duplicate or related records and creating a reliable view of data is critical. ## Data Profiling & Data Quality Insights WinPure enables users to profile their data before beginning cleansing or matching. Data Quality Insights helps users understand the condition of their datasets through metrics covering areas such as completeness, validity, consistency, patterns, character distributions and statistical values. Insights & Recommendations goes further by analysing profiling results and highlighting potential data quality problems and recommended next actions. This helps teams move from simply measuring data quality to identifying what should be addressed. ## Data Cleaning & Standardisation The CLEAN module provides tools for transforming inconsistent source data into standardised, usable information. Users can build reusable cleaning processes to correct, format, standardise and transform data across large datasets. Capabilities include data transformations, text manipulation, standardisation, regular expressions, data parsing, value replacement and other data cleansing operations. Live Transformation Preview allows users to see the effect of transformations before applying them, helping make data cleansing processes easier to understand and control. ## Data Matching & Deduplication WinPure Clean & Match provides advanced fuzzy and exact data matching capabilities for finding duplicate and related records across one or multiple datasets. Matching can be configured around the characteristics of the data rather than relying on a single matching technique. Users can define which fields should participate in matching, configure matching rules and thresholds, and use different comparison approaches where appropriate. This allows organisations to identify matches even when records contain spelling variations, abbreviations, formatting differences, missing information or other inconsistencies that make conventional exact matching ineffective. Typical examples include identifying records such as: **Acme Technologies Ltd** **ACME Technology Limited** or: **Jonathan Smith** **Jon Smith** as potentially representing the same real-world entity despite differences in the underlying data. ## Flexible Matching Algorithms WinPure supports multiple matching approaches so that different types of information can be compared using techniques appropriate to the characteristics of the data. Rather than treating every field identically, matching configurations can be tailored for information such as names, organisations, addresses, email addresses, telephone numbers and identifiers. This provides greater control over the balance between identifying genuine matches and reducing false positives. ## Match Explainability Understanding why records have been identified as matches is an important part of trusting matching results. WinPure Match Explainability provides visibility into matching decisions, helping users understand which information contributed to a match and how records were evaluated. Users can explore match information at record and group level, making it easier to validate results, investigate questionable matches and explain matching decisions to other stakeholders. ## Entity Resolution with Match AI For more complex entity resolution requirements, WinPure also provides Match AI, powered by Senzing technology. Match AI is designed to identify relationships and entities across datasets where information may be incomplete, inconsistent or distributed across multiple records. This provides an additional entity resolution capability alongside WinPure's configurable rules-based matching engine. ## Master Record Selection Once duplicate records have been identified, organisations frequently need to determine which record should represent the entity. WinPure provides configurable Master Record selection capabilities that allow users to automatically identify the preferred record within a duplicate group. Selection can be based on data completeness or configurable business rules, helping organisations establish consistent survivorship processes rather than manually selecting records. ## Golden Records Matching and identifying duplicates is often only the beginning of the data quality process. WinPure helps organisations progress towards consolidated Golden Records by identifying related records, selecting preferred information and maintaining a consistent identity for the resulting entity. Golden Record Identity provides persistent identification that can help organisations maintain entity continuity as datasets are refreshed or additional records are introduced. This is particularly valuable for master data management, customer data consolidation, migration projects and environments where the same entities appear across multiple operational systems. ## Secure Local Processing WinPure Clean & Match is designed for organisations that want greater control over where their data is processed. Data cleansing, profiling and matching can be performed locally rather than requiring organisations to upload entire datasets to an external SaaS platform. This makes WinPure particularly suitable for organisations handling sensitive, confidential or regulated information, including public sector, healthcare, financial services and enterprise environments. ## Designed for Business and Technical Users WinPure combines sophisticated data quality and matching capabilities with a visual interface. Users can configure profiling, cleansing and matching workflows without needing to develop an entire data quality solution from code. At the same time, configurable matching rules, algorithms, thresholds and data transformations provide the flexibility required for more complex data quality projects. ## Common Use Cases Organisations use WinPure Clean & Match for a wide range of data quality projects, including: * Customer and contact deduplication * CRM data cleansing * Database consolidation * Data migration * Master data management * Entity resolution * Duplicate detection * Customer 360 initiatives * Single customer or citizen views * Golden record creation * Supplier and business matching * Data standardisation * Data profiling and quality assessment * Preparing data for analytics and AI * Improving data before CRM, ERP or other system migrations ## Building Trusted Data Poor-quality data can affect reporting, analytics, CRM adoption, operational processes, regulatory activities and AI initiatives. WinPure Clean & Match brings profiling, cleansing, matching, entity resolution and Golden Record capabilities together to help organisations understand their data, improve its quality and identify the real-world entities represented within it. The result is cleaner, more consistent and more trustworthy data that organisations can use with greater confidence.

Average Rating: 4.7/5.0

Total Reviews: 74

How Do G2 Users Rate WinPure Clean & Match?

  • Quality of Support: 9.4/10 (Category avg: 8.9/10)
  • Automation: 9.4/10 (Category avg: 8.8/10)
  • Identification: 9.4/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind WinPure Clean & Match?

  • Seller: WinPure
  • Year Founded: 2004
  • HQ Location: Theale, Berkshire
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Health, Wellness and Fitness
  • Company Size: 44% Small, 35% Medium

What Do G2 Reviewers Say About WinPure Clean & Match?

AI-generated summary from verified user reviews

Pros
  • Users praise the world-class customer support of WinPure, highlighting the guidance and hands-on training provided by the team.
  • Users commend WinPure Clean & Match for its exceptional data quality, ensuring accurate and reliable matching processes.
  • Users appreciate the efficient duplicate management of WinPure, enhancing speed and accuracy in data quality tasks.
  • Users find WinPure to be extremely easy to use, allowing quick and confident project initiation without extensive training.
  • Users appreciate the easy access of WinPure, enabling quick onboarding and efficient data management without extensive training.

What Are Recent G2 Reviews of WinPure Clean & Match?

What Are G2 Users Discussing About WinPure Clean & Match?

Microsoft Data Quality Services

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

Average Rating: 3.9/5.0

Total Reviews: 47

How Do G2 Users Rate Microsoft Data Quality Services?

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

Who Is the Company Behind Microsoft Data Quality Services?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Company Size: 53% Small, 29% Medium

What Are Recent G2 Reviews of Microsoft Data Quality Services?

What Are G2 Users Discussing About Microsoft Data Quality Services?

Oracle Data Quality

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

Average Rating: 4.0/5.0

Total Reviews: 54

How Do G2 Users Rate Oracle Data Quality?

  • Quality of Support: 8.4/10 (Category avg: 8.9/10)
  • Automation: 8.2/10 (Category avg: 8.8/10)
  • Identification: 9.2/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 8.6/10 (Category avg: 8.5/10)

Who Is the Company Behind Oracle Data Quality?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL
  • Phone: +1 (650) 506-7000

Who Uses This Product?

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

What Are Recent G2 Reviews of Oracle Data Quality?

What Are G2 Users Discussing About Oracle Data Quality?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated