# Best Data Quality Tools for Small Business

  *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*

   Products classified in the overall Data Quality category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Quality to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Data Quality category.

In addition to qualifying for inclusion in the Data Quality Tools category, to qualify for inclusion in the Small Business Data Quality Tools category, a product must have at least 10 reviews left by a reviewer from a small business.




  
## How Many Data Quality Tools Products Does G2 Track?
**Total Products under this Category:** 242

### Category Stats (May 2026)
- **Average Rating**: 4.48/5
- **New Reviews This Quarter**: 110
- **Buyer Segments**: Mid-Market 49% │ Small-Business 27% │ Enterprise 24%
- **Top Trending Product**: QuerySurge (+0.059)
*Last updated: May 18, 2026*

  
## How Does G2 Rank Data Quality Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 9,100+ Authentic Reviews
- 242+ 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.

  
  
---

**Sponsored**

### QuerySurge

QuerySurge is an enterprise-grade data quality platform that leverages AI to continuously automate data validation across your entire ecosystem ‐ from data warehouses and big data lakes to BI reports and enterprise applications. With AI-powered test creation, scalable architecture, and the leading DevOps for Data CI/CD integration, QuerySurge ensures data integrity at every stage of the pipeline. Automated Data Validation Use Cases: QuerySurge provides a smart, AI-driven, data validation & ETL testing solution for your automated testing needs. - Data Warehouse / ETL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - Business Intelligence (BI) Report Testing - Big Data Testing - Enterprise Application Data Testing What QuerySurge Provides: - Automation of your manual data validation and testing process - Ease-of-use, low-code/no-code features - Generative AI capabilities for test creation - Testing across 200+ data platforms - Integration into your CI/CD DataOps pipeline - Acceleration of your data analysis - Ensurance of regulatory compliance Key Features: - Data Connection Wizard provides an easy way to link to your data stores - Visual Query Wizard builds table-to-table and column-to-column tests without writing SQL - Generative AI module automatically creates transformation tests in bulk - DevOps for Data provides a RESTful API with 110+ calls and Swagger documentation and integrates into CI/CD pipelines - Create Custom Tests and modularize functions with snippets, set thresholds, stage data, check data types & duplicate rows, full text search, and asset tagging - Schedule tests to run immediately, at a predetermined date & time, or after any event from a build/release, CI/CD, DevOps, or test management solution - Multi-project support in a single instance, new Global Admin user, assign users and agents, import and export projects, and user activity log reports - Webhooks provide real-time integrations with DevOps, CI/CD, test management, and alerting tools - Ready-for-Analytics provides seamless integration with QuerySurge and your BI tool or open-source Metabase to create custom reports and dashboards and gain deeper, real-time insights into your data validation and ETL testing workflows - Data Analytics Dashboards and Data Intelligence Reports track, analyze, and communicate data quality



[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=74&secure%5Bdisplayable_resource_id%5D=74&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=74&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=54942&secure%5Bresource_id%5D=74&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-quality&secure%5Btoken%5D=1e2bccf2231f9ac96cfbf2f1950aa257ac0e2a95b3f723afe3a35eb7f31055f5&secure%5Burl%5D=https%3A%2F%2Fwww.querysurge.com%2Fget-started%2Fprivate-demo%3Futm_source%3DG2%26utm_medium%3Dcpc%26utm_campaign%3DG2-reviews&secure%5Burl_type%5D=book_demo)

---

  ## What Are the Top-Rated Data Quality Tools Products in 2026?
### 1. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)
  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:** 754
**How Do G2 Users Rate SAS Viya?**

- **Quality of Support:** 8.3/10 (Category avg: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind SAS Viya?**

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** https://www.sas.com/
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware (60,959 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,519 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Student, Statistical Programmer
  - **Top Industries:** Pharmaceuticals, Banking
  - **Company Size:** 33% Enterprise, 33% Small-Business


#### What Are SAS Viya's Pros and Cons?

**Pros:**

- Ease of Use (316 reviews)
- Features (218 reviews)
- Analytics (196 reviews)
- Data Analysis (166 reviews)
- User Interface (147 reviews)

**Cons:**

- Learning Difficulty (151 reviews)
- Learning Curve (144 reviews)
- Complexity (143 reviews)
- Difficult Learning (117 reviews)
- Expensive (108 reviews)

### 2. [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)
  Operations 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: Operations 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: Operations 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: Operations 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, Operations Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Operations Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Operations Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Operations 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 Operations Hub: Operations 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: Operations 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:** 560
**How Do G2 Users Rate HubSpot Data Hub?**

- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)
- **Automation:** 8.9/10 (Category avg: 8.7/10)
- **Identification:** 8.8/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.7/10 (Category avg: 8.4/10)

**Who Is the Company Behind HubSpot Data Hub?**

- **Seller:** [HubSpot](https://www.g2.com/sellers/hubspot)
- **Company Website:** https://www.HubSpot.com
- **Year Founded:** 2006
- **HQ Location:** Cambridge, MA
- **Twitter:** @HubSpot (785,652 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/68529/ (11,979 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** CEO, Owner
  - **Top Industries:** Information Technology and Services, Marketing and Advertising
  - **Company Size:** 67% Small-Business, 30% Mid-Market


#### What Are HubSpot Data Hub's Pros and Cons?

**Pros:**

- Ease of Use (119 reviews)
- Automation (90 reviews)
- Data Management (88 reviews)
- Integrations (65 reviews)
- Efficiency (48 reviews)

**Cons:**

- Limitations (58 reviews)
- Missing Features (40 reviews)
- Learning Curve (37 reviews)
- Expensive (33 reviews)
- Complexity (27 reviews)

### 3. [ZoomInfo Operations](https://www.g2.com/products/zoominfo-operations/reviews)
  ZoomInfo Operations is a sophisticated data management solution designed to assist organizations in optimizing their go-to-market (GTM) strategies by effectively managing sales and marketing data. This platform serves as the backbone of the GTM intelligence ecosystem, enabling operations teams to automate the processes of cleaning, enriching, and routing their data. By leveraging a no-code automated data management engine, businesses can establish a robust and unified data foundation that enhances their revenue-generating efforts. Targeted primarily at sales and marketing operations teams, ZoomInfo Operations addresses the common challenges associated with data management. Organizations often struggle with maintaining accurate and up-to-date information, which can hinder their ability to make informed decisions and execute effective marketing campaigns. This solution is particularly beneficial for companies that rely heavily on data-driven strategies and need to ensure that their sales and marketing databases are both clean and comprehensive. One of the standout features of ZoomInfo Operations is its ability to automatically clean and complete sales and marketing data. The platform efficiently deduplicates records, standardizes fields, and fills in missing information, all while maintaining data hygiene. This automation eliminates the need for manual intervention and complex workflows, allowing teams to focus on strategic initiatives rather than getting bogged down by data management tasks. Additionally, ZoomInfo Operations enriches existing databases by integrating with ZoomInfo and over 60 third-party data sources. This capability ensures that organizations have access to fresh contact information, firmographics, technographics, and buying signals, which are crucial for effective targeting and engagement. The seamless flow of enriched data into CRM and marketing automation platforms empowers teams to execute campaigns with greater precision and relevance. Routing engagement-ready data to the appropriate sales representatives is another critical function of ZoomInfo Operations. The platform employs intelligent assignment rules to ensure that every lead, account, and opportunity is directed to the right person at the right time. By infusing essential first-party data into the relevant systems, organizations can enhance their responsiveness and improve overall sales efficiency. This targeted approach not only optimizes the sales process but also fosters better relationships with potential customers, ultimately driving revenue growth.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 345
**How Do G2 Users Rate ZoomInfo Operations?**

- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind ZoomInfo Operations?**

- **Seller:** [ZoomInfo](https://www.g2.com/sellers/zoominfo-26a9872a-d61e-4832-ab53-5e972b230706)
- **Company Website:** https://www.zoominfo.com/
- **Year Founded:** 2000
- **HQ Location:** Vancouver, WA
- **Twitter:** @ZoomInfo (23,484 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/zoominfo/ (4,296 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:** 66% Mid-Market, 20% Small-Business


#### What Are ZoomInfo Operations's Pros and Cons?

**Pros:**

- Data Accuracy (25 reviews)
- Ease of Use (23 reviews)
- Automation (20 reviews)
- Lead Generation (19 reviews)
- Efficiency (18 reviews)

**Cons:**

- Inaccuracy Issues (13 reviews)
- Inaccurate Data (11 reviews)
- Learning Curve (11 reviews)
- Learning Difficulty (11 reviews)
- Expensive (10 reviews)

### 4. [dbt](https://www.g2.com/products/dbt/reviews)
  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:** 204
**How Do G2 Users Rate dbt?**

- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind dbt?**

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran (5,737 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/fivetran/ (1,738 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% Mid-Market, 27% Small-Business


#### What Are dbt's Pros and Cons?

**Pros:**

- Ease of Use (38 reviews)
- Features (22 reviews)
- Automation (19 reviews)
- Transformation (17 reviews)
- Integrations (15 reviews)

**Cons:**

- Limited Functionality (14 reviews)
- Dependency Issues (12 reviews)
- Steep Learning Curve (10 reviews)
- Error Handling (9 reviews)
- Error Reporting (9 reviews)

### 5. [Insycle](https://www.g2.com/products/insycle/reviews)
  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:** 4.7/5.0
  **Total Reviews:** 191
**How Do G2 Users Rate Insycle?**

- **Quality of Support:** 9.3/10 (Category avg: 8.8/10)
- **Automation:** 9.3/10 (Category avg: 8.7/10)
- **Identification:** 9.0/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.0/10 (Category avg: 8.4/10)

**Who Is the Company Behind Insycle?**

- **Seller:** [Insycle](https://www.g2.com/sellers/insycle)
- **Company Website:** https://www.insycle.com/
- **Year Founded:** 2016
- **HQ Location:** New York
- **Twitter:** @insycle (288 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10940435/ (11 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Marketing Manager
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 49% Mid-Market, 43% Small-Business


#### What Are Insycle's Pros and Cons?

**Pros:**

- Ease of Use (34 reviews)
- Data Accuracy (23 reviews)
- Duplicate Management (21 reviews)
- HubSpot Integration (19 reviews)
- Customer Support (18 reviews)

**Cons:**

- Learning Curve (16 reviews)
- Not User-Friendly (13 reviews)
- Expensive (8 reviews)
- Limitations (8 reviews)
- Not Intuitive (8 reviews)

### 6. [Melissa Data Quality Suite](https://www.g2.com/products/melissa-data-quality-suite/reviews)
  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:** 75
**How Do G2 Users Rate Melissa Data Quality Suite?**

- **Quality of Support:** 9.0/10 (Category avg: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind Melissa Data Quality Suite?**

- **Seller:** [Melissa](https://www.g2.com/sellers/melissa)
- **Company Website:** https://www.melissa.com
- **Year Founded:** 1985
- **HQ Location:** Rancho Santa Margarita, CA
- **Twitter:** @melissadata (2,432 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/melissa-data/ (698 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Real Estate, Marketing and Advertising
  - **Company Size:** 70% Small-Business, 19% Mid-Market


#### What Are Melissa Data Quality Suite's Pros and Cons?

**Pros:**

- Accuracy (4 reviews)
- Ease of Use (4 reviews)
- Data Quality (3 reviews)
- Easy Integrations (3 reviews)
- Accuracy of Information (2 reviews)

**Cons:**

- Complexity (2 reviews)
- Limited Functionality (2 reviews)
- Accuracy Issues (1 reviews)
- Difficult Learning Curve (1 reviews)
- Expensive (1 reviews)

### 7. [Traction Complete](https://www.g2.com/products/traction-complete/reviews)
  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:** 175
**How Do G2 Users Rate Traction Complete?**

- **Quality of Support:** 9.6/10 (Category avg: 8.8/10)
- **Automation:** 9.5/10 (Category avg: 8.7/10)
- **Identification:** 9.6/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.4/10 (Category avg: 8.4/10)

**Who Is the Company Behind Traction Complete?**

- **Seller:** [Traction Complete](https://www.g2.com/sellers/traction-complete)
- **Company Website:** https://tractioncomplete.com/
- **Year Founded:** 2019
- **HQ Location:** Vancouver, British Columbia
- **LinkedIn® Page:** https://www.linkedin.com/company/traction-complete/ (87 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:** 55% Mid-Market, 31% Enterprise


#### What Are Traction Complete's Pros and Cons?

**Pros:**

- Customer Support (29 reviews)
- Ease of Use (23 reviews)
- Lead Generation (18 reviews)
- Helpful (17 reviews)
- Routing Efficiency (16 reviews)

**Cons:**

- Limitations (12 reviews)
- Learning Curve (11 reviews)
- Complexity (6 reviews)
- Steep Learning Curve (6 reviews)
- Not Intuitive (5 reviews)

### 8. [Planhat](https://www.g2.com/products/planhat/reviews)
  Planhat is a customer platform that provides software and services to help organizations grow lifelong customers. Our platform powers sales, service and customer success products that scale with our customers’ needs all the way from startup to household name and beyond. Each day worldwide, over 2.6 million customers are attracted, engaged and delighted with our intuitive yet flexible system of action. The Planhat platform empowers everyone in your organization to consolidate, analyze and act on all your data, becoming more customer-centric and data-driven than ever before. From rolling out autonomous transport systems to distributing new medicines, we’re proud to help make our customers better at what they do best. Alongside our customers, we’re building at the forefront of healthcare & life sciences, finance, connected business, and more. And we need curious, daring minds to help us.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 914
**How Do G2 Users Rate Planhat?**

- **Quality of Support:** 9.2/10 (Category avg: 8.8/10)
- **Automation:** 8.4/10 (Category avg: 8.7/10)
- **Identification:** 7.6/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 7.2/10 (Category avg: 8.4/10)

**Who Is the Company Behind Planhat?**

- **Seller:** [Planhat](https://www.g2.com/sellers/planhat)
- **Company Website:** https://www.planhat.com
- **Year Founded:** 2015
- **HQ Location:** Stockholm, Stockholm County
- **Twitter:** @planhat (1,047 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10168756/ (232 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% Mid-Market, 32% Small-Business


#### What Are Planhat's Pros and Cons?

**Pros:**

- Ease of Use (215 reviews)
- Customer Support (155 reviews)
- Customization (106 reviews)
- Automation Efficiency (103 reviews)
- Helpful (103 reviews)

**Cons:**

- Learning Curve (113 reviews)
- Complexity (78 reviews)
- Steep Learning Curve (62 reviews)
- Integration Issues (58 reviews)
- Limitations (56 reviews)

### 9. [Findymail](https://www.g2.com/products/findymail/reviews)
  Findymail is a leading B2B contact data provider built for modern sales teams who need accurate, actionable data without the manual work. From verified emails and phone numbers to AI-powered lead finding and real-time intent signals, Findymail covers the full prospecting workflow in one platform. Key Features: - Email and Phone Finder: Find verified B2B emails and phone numbers individually, in bulk via file upload, or on the fly using the Chrome extension. - Email Verification: Keep your lists clean and deliverable with advanced verification technology that guarantees a bounce rate of less than 5%. - Intellimatch (AI Lead Finder): Describe your ideal target company in plain language and Intellimatch surfaces matches based on real website content, no rigid filters needed. - Signals: Monitor the web 24/7 for intent signals from your ideal customers, so you can reach out when it matters most. - Datacare CRM Enrichment: Automatically enrich new records, detect and merge duplicates, and track job changes to keep your CRM accurate and up-to-date. - Chrome Extension: Extract verified contact data directly from professional networks, Apollo, and other platforms without leaving your browser. Why Sales Teams Choose Findymail: Findymail eliminates the biggest bottleneck in outbound sales: bad data. Verified emails and phone numbers reduce bounce rates, wasted outreach, and time spent on manual enrichment. Features like Intellimatch and Signals go further, helping teams find the right companies and reach out at the right time. The result is a faster, cleaner prospecting workflow that lets sales professionals focus on building relationships and closing deals.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 57
**How Do G2 Users Rate Findymail?**

- **Quality of Support:** 9.7/10 (Category avg: 8.8/10)

**Who Is the Company Behind Findymail?**

- **Seller:** [Findymail](https://www.g2.com/sellers/findymail)
- **Year Founded:** 2022
- **HQ Location:** France
- **LinkedIn® Page:** https://www.linkedin.com/company/findymail (13 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Founder
  - **Top Industries:** Marketing and Advertising, Computer Software
  - **Company Size:** 79% Small-Business, 16% Mid-Market


#### What Are Findymail's Pros and Cons?

**Pros:**

- Customer Support (9 reviews)
- Ease of Use (9 reviews)
- Lead Generation (5 reviews)
- Accuracy (4 reviews)
- Data Accuracy (4 reviews)

**Cons:**

- Expensive (4 reviews)
- Limited Credits (2 reviews)
- AI Integration (1 reviews)
- Limited Contact Information (1 reviews)
- Limited Contacts (1 reviews)

### 10. [DemandTools](https://www.g2.com/products/demandtools/reviews)
  DemandTools is the secure data quality platform that ensures your data remains your most valuable asset. With DemandTools, you manage your CRM data in minutes, not months, so you always have accurate, report-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.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 275
**How Do G2 Users Rate DemandTools?**

- **Quality of Support:** 8.8/10 (Category avg: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind DemandTools?**

- **Seller:** [Validity Inc](https://www.g2.com/sellers/validity-inc)
- **Company Website:** https://www.validity.com
- **Year Founded:** 2018
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @TrustValidity (1,152 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/11679353/ (345 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Salesforce Administrator
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 48% Mid-Market, 33% Enterprise


#### What Are DemandTools's Pros and Cons?

**Pros:**

- Ease of Use (14 reviews)
- Duplicate Management (8 reviews)
- Time-saving (8 reviews)
- Efficiency (5 reviews)
- Salesforce Integration (5 reviews)

**Cons:**

- Limited Functionality (3 reviews)
- Missing Features (3 reviews)
- Learning Curve (2 reviews)
- Poor Interface Design (2 reviews)
- Slow Loading (2 reviews)

### 11. [Oracle Data Quality](https://www.g2.com/products/oracle-data-quality/reviews)
  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: 8.8/10)
- **Automation:** 8.2/10 (Category avg: 8.7/10)
- **Identification:** 9.2/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.6/10 (Category avg: 8.4/10)

**Who Is the Company Behind Oracle Data Quality?**

- **Seller:** [Oracle](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle (828,328 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (199,301 employees on LinkedIn®)
- **Ownership:** NYSE:ORCL

**Who Uses This Product?**
  - **Top Industries:** Hospital & Health Care, Information Technology and Services
  - **Company Size:** 50% Enterprise, 28% Small-Business


### 12. [Microsoft Data Quality Services](https://www.g2.com/products/microsoft-data-quality-services/reviews)
  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: 8.8/10)

**Who Is the Company Behind Microsoft Data Quality Services?**

- **Seller:** [Microsoft](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft (13,115,342 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/microsoft/ (227,697 employees on LinkedIn®)
- **Ownership:** MSFT

**Who Uses This Product?**
  - **Company Size:** 53% Small-Business, 29% Mid-Market


### 13. [Dedupely](https://www.g2.com/products/dedupely/reviews)
  All you need to keep your CRM free from duplicates! Messy data slows down workflows, clogs reports, and creates confusion. Dedupely helps you take control of your CRM by automatically identifying, merging, and preventing duplicate records, without disrupting your existing setup. Designed to work seamlessly with Salesforce, HubSpot, and Pipedrive, Dedupely integrates directly with your CRM’s native and custom objects, ensuring reliable and accurate data. All our plans include all our features, so you can get full control over what stays and goes. Help is always within reach with our unlimited customer service. Whether it’s a quick question or hands-on guidance, we’ll make sure Dedupely fits your needs, every step of the way. And yes, we’re friendly too!


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 13
**How Do G2 Users Rate Dedupely?**

- **Quality of Support:** 9.8/10 (Category avg: 8.8/10)
- **Automation:** 7.7/10 (Category avg: 8.7/10)
- **Identification:** 7.9/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 5.0/10 (Category avg: 8.4/10)

**Who Is the Company Behind Dedupely?**

- **Seller:** [Dedupely](https://www.g2.com/sellers/dedupely)
- **Year Founded:** 2015
- **HQ Location:** Richmond, British Columbia
- **LinkedIn® Page:** https://www.linkedin.com/company/dedupely/ (11 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 79% Small-Business, 21% Mid-Market


#### What Are Dedupely's Pros and Cons?

**Pros:**

- Customer Support (4 reviews)
- Ease of Use (3 reviews)
- Duplicate Management (2 reviews)
- Efficiency Improvement (2 reviews)
- Merging Leads (2 reviews)

**Cons:**

- Data Management Issues (2 reviews)
- Limited Functionality (1 reviews)
- Poor User Experience (1 reviews)

### 14. [D&B Connect](https://www.g2.com/products/d-b-connect/reviews)
  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: 8.8/10)
- **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: 8.4/10)

**Who Is the Company Behind D&B Connect?**

- **Seller:** [Dun & Bradstreet](https://www.g2.com/sellers/dun-bradstreet)
- **Company Website:** https://www.dnb.com
- **HQ Location:** Short Hills, NJ
- **Twitter:** @DunBradstreet (22,554 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2385/ (5,816 employees on LinkedIn®)
- **Ownership:** NYSE: DNB

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 44% Mid-Market, 31% Small-Business


#### What Are D&B Connect's Pros and Cons?

**Pros:**

- Ease of Use (19 reviews)
- Data Accuracy (18 reviews)
- Data Quality (11 reviews)
- Easy Setup (8 reviews)
- Accuracy (7 reviews)

**Cons:**

- Limitations (9 reviews)
- Expensive (7 reviews)
- Learning Curve (7 reviews)
- Limited Functionality (6 reviews)
- Missing Features (6 reviews)

### 15. [WinPure Clean & Match](https://www.g2.com/products/winpure-clean-match/reviews)
  Clean & Match Enterprise is the top-rated desktop platform for data quality management – powered with AI data matching for easy & efficient data cleaning, deduplication, & transformation.This software suite is ideal for cleaning, correcting and deduplicating mailing lists, databases, spreadsheets and CRMs. Experience the world’s most advanced AI data-matching solution that enables organizations to resolve complex records within minutes. \* Detect potential duplicates based on common-sense principles \* Determine possible relationships between datasets \* Intelligently identify duplicates based on learned principles \* Perform data matching at scale in just three step No code data cleansing & standardization. Teams spend 80% of their time in manual data cleaning and standardization. WinPure’s no-code software reduces the time spent with its intuitive interface. Users can: \* Clean columns with built-in pre-set standardization options \* Split components for targeted cleaning \* Create custom abbreviation & name dictionaries\* \* Parse address data to clean & standardize at a component level Catch non-exact matches with advanced fuzzy logic. Duplicate customer records with varying information need a powerful fuzzy match algorithm like WinPure to identify exact and possible matches. Users can: \* Cross-match between and across files \* Easily merge and purge or overwrite duplicates \* Create master records of consolidated records \* Export directly into your CRM or data source WinPure™ Clean & Match will help save your business time and money. \* Increase the accuracy of virtually ANY list, spreadsheet, database, CRM, etc. \* Locally installed Windows software so no need to worry about security as all processing is done on your own systems \* Save hours of valuable time cleaning and removing duplicated records from your lists or databases using built-in sophisticated fuzzy and phonetic match algorithms. \* Affordable licences available with World Class Support & Training. \* Free Demo with Live Online Training available. Seeing is believing! Schedule a live demo today with one of our product specialist at your convenience. We can learn about your requirements, answer questions, and review ways WinPure can help you and your organization.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 73
**How Do G2 Users Rate WinPure Clean & Match?**

- **Quality of Support:** 9.4/10 (Category avg: 8.8/10)
- **Automation:** 9.4/10 (Category avg: 8.7/10)
- **Identification:** 9.4/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.8/10 (Category avg: 8.4/10)

**Who Is the Company Behind WinPure Clean & Match?**

- **Seller:** [WinPure](https://www.g2.com/sellers/winpure)
- **Year Founded:** 2004
- **HQ Location:** Theale, Berkshire
- **Twitter:** @WinPure (2,217 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2149782/ (9 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Marketing and Advertising, Health, Wellness and Fitness
  - **Company Size:** 43% Small-Business, 35% Mid-Market


#### What Are WinPure Clean & Match's Pros and Cons?

**Pros:**

- Customer Support (1 reviews)
- Data Quality (1 reviews)
- Duplicate Management (1 reviews)
- Ease of Use (1 reviews)
- Easy Access (1 reviews)


### 16. [Flatfile](https://www.g2.com/products/flatfile/reviews)
  Migrating data is one of the biggest barriers to onboarding customers quickly and successfully. This process is often complex and error-prone, causing delays and frustration that can negatively impact the customer experience. Don’t let customer data become a bottleneck for your business. Accelerate your data onboard and migrations with AI-powered data transformations. Our source-to-target mapping auto-magically converts complex data into your desired format. Easily collaborate with stakeholders on data decisions with granular access control, ensuring the right people manage the right data at the right time. With our fully customizable developer-first platform and event-driven architecture you can create complex workflows tailored specifically to your business needs. No more costly, service-heavy migrations. Migrate data efficiently and with confidence. Come see how we help the world’s best data migration and implementation teams migrate customer data seamlessly.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 31
**How Do G2 Users Rate Flatfile?**

- **Quality of Support:** 9.4/10 (Category avg: 8.8/10)
- **Automation:** 9.4/10 (Category avg: 8.7/10)
- **Identification:** 9.2/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.8/10 (Category avg: 8.4/10)

**Who Is the Company Behind Flatfile?**

- **Seller:** [Flatfile](https://www.g2.com/sellers/flatfile)
- **Year Founded:** 2018
- **HQ Location:** Denver, Colorado
- **LinkedIn® Page:** https://www.linkedin.com/company/flatfile/ (43 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Computer Software
  - **Company Size:** 90% Small-Business, 6% Mid-Market


#### What Are Flatfile's Pros and Cons?

**Pros:**

- Time Efficiency (1 reviews)
- Time-saving (1 reviews)

**Cons:**

- Error Handling (1 reviews)
- Error Notification (1 reviews)
- Limited Customization (1 reviews)
- Limited Features (1 reviews)
- Limited Functionality (1 reviews)

### 17. [Syncari](https://www.g2.com/products/syncari/reviews)
  Syncari is an AI-ready, Agentic MDM platform that unifies, governs, and activates trusted data across all your systems, domains, and cloud infrastructure. Built for enterprises navigating the complexity of multi-agent environments and AI-driven operations, Syncari automates core data management workflows—from data modeling and lineage to validation and remediation—without needing heavy IT resources. At the heart of Syncari is its patented multi-directional sync, delivering real-time, bi-directional data consistency across CRMs, ERPs, cloud platforms, and data warehouses—without custom code or middleware. Syncari ensures continuously clean, synchronized, and governed data flows throughout your enterprise and is always ready for analytics, AI models, and operational use. Whether you're powering AI copilots, managing complex entity relationships, or standardizing data pipelines, Syncari helps you move beyond just managing data—to activating it. Why Syncari? -Syncari Agentic MDM™: Designed for orchestrating trusted data across AI agents and teams -Patented Multi-Directional Sync: Real-time updates across all connected platforms -Agentic Ops: Schema sync, field mapping, DQ enforcement, and remediation -Entity Resolution: Consolidate and deduplicate records across domains -Composable + Cloud-First: Built to plug into your existing SaaS and data stack -Low-Code / No-Code: Accessible to IT, data teams, RevOps, and business users alike Core Capabilities Unify, Sync, Automate, Activate, Model, Catalog, Lineage, Transform, Standardize, Verify, Remediate, Observe, Report, Consume Top Use Cases - Customer Master: Build a unified customer profile across GTM systems - Product Master: Align and enrich product data across eCommerce and ERP - Hierarchy Master: Govern legal entities, accounts, and territories - Analytics MDM: Push AI-ready data into BI tools and ML workflows - Data Products: Operationalize governed datasets for internal and external use - Data Quality: Automatically identify, validate, standardize, and remediate data issues across systems - MDM for Snowflake: Sync and manage master data directly inside Snowflake - MDM for GCP: Connect, unify, and activate trusted data in BigQuery and GCP tools - MDM for Your Data Warehouse: Maintain clean, governed, query-ready data across your cloud warehouse infrastructure -MCP Server for your unified data


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 41
**How Do G2 Users Rate Syncari?**

- **Quality of Support:** 9.9/10 (Category avg: 8.8/10)
- **Automation:** 9.7/10 (Category avg: 8.7/10)
- **Identification:** 9.4/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.4/10 (Category avg: 8.4/10)

**Who Is the Company Behind Syncari?**

- **Seller:** [Syncari](https://www.g2.com/sellers/syncari)
- **Year Founded:** 2019
- **HQ Location:** Newark, California
- **Twitter:** @syncari (234 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/syncari/ (49 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 51% Mid-Market, 44% Small-Business


### 18. [BizProspex CRM Cleaning](https://www.g2.com/products/bizprospex-crm-cleaning/reviews)
  Sales Enablement Service with data mining, data cleaning and data appending features. Bizprospex's sales enablement service will help grow your B2B business. Our services promise to give business of all sizes the opportunity to mine and append information to sell, service, market, develop, and succeed like never before.


  **Average Rating:** 4.9/5.0
  **Total Reviews:** 14
**How Do G2 Users Rate BizProspex CRM Cleaning?**

- **Quality of Support:** 9.8/10 (Category avg: 8.8/10)
- **Automation:** 9.0/10 (Category avg: 8.7/10)
- **Identification:** 9.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.0/10 (Category avg: 8.4/10)

**Who Is the Company Behind BizProspex CRM Cleaning?**

- **Seller:** [Bizprospex](https://www.g2.com/sellers/bizprospex)
- **Year Founded:** 2013
- **HQ Location:** Burhanpur, MP
- **Twitter:** @BizProspex (560 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/biz-prospex/ (159 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 87% Small-Business, 13% Mid-Market


### 19. [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews)
  Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 151
**How Do G2 Users Rate Alteryx Designer Cloud?**

- **Quality of Support:** 8.6/10 (Category avg: 8.8/10)
- **Automation:** 9.2/10 (Category avg: 8.7/10)
- **Identification:** 8.8/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.5/10 (Category avg: 8.4/10)

**Who Is the Company Behind Alteryx Designer Cloud?**

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx (26,195 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,268 employees on LinkedIn®)
- **Ownership:** Private

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Hospital & Health Care
  - **Company Size:** 35% Enterprise, 35% Small-Business


### 20. [OneSchema](https://www.g2.com/products/oneschema/reviews)
  OneSchema automates CSV & PDF workflows with AI. Enterprise operations, IT, and data engineering teams use OneSchema to replace brittle scripts and save countless hours of time manually cleaning messy files. Features like our schema builder prevent data quality issues and guarantee bad data never enters your business systems. AI-powered transforms in our no-code workflow builder are flexible and fast to configure on any file, empowering the entire operations team to work like data engineers. Companies like Toast, Ramp, Hippocratic AI, and Huron Consulting Group rely on OneSchema to run their most critical file integrations, with thousands of files processed every hour.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 47
**How Do G2 Users Rate OneSchema?**

- **Quality of Support:** 9.5/10 (Category avg: 8.8/10)
- **Automation:** 7.7/10 (Category avg: 8.7/10)
- **Identification:** 8.1/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.9/10 (Category avg: 8.4/10)

**Who Is the Company Behind OneSchema?**

- **Seller:** [OneSchema](https://www.g2.com/sellers/oneschema)
- **Year Founded:** 2021
- **HQ Location:** San Francisco, California
- **Twitter:** @oneschema_co (219 Twitter followers)
- **LinkedIn® Page:** http://www.linkedin.com/company/oneschema (19 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Computer Software, Information Technology and Services
  - **Company Size:** 50% Small-Business, 44% Mid-Market


#### What Are OneSchema's Pros and Cons?

**Pros:**

- Community Support (1 reviews)
- Customer Support (1 reviews)
- Customization (1 reviews)
- Ease of Use (1 reviews)
- Helpful (1 reviews)

**Cons:**

- Limited Customization (1 reviews)
- Poor Interface Design (1 reviews)
- Poor User Experience (1 reviews)
- UX Improvement (1 reviews)

### 21. [SAS Data Management](https://www.g2.com/products/sas-data-management/reviews)
  SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes.


  **Average Rating:** 4.1/5.0
  **Total Reviews:** 97
**How Do G2 Users Rate SAS Data Management?**

- **Quality of Support:** 7.9/10 (Category avg: 8.8/10)
- **Automation:** 8.2/10 (Category avg: 8.7/10)
- **Identification:** 8.8/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.3/10 (Category avg: 8.4/10)

**Who Is the Company Behind SAS Data Management?**

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware (60,959 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,519 employees on LinkedIn®)
- **Phone:** 1-800-727-0025

**Who Uses This Product?**
  - **Top Industries:** Higher Education, Research
  - **Company Size:** 51% Enterprise, 26% Small-Business


#### What Are SAS Data Management's Pros and Cons?

**Pros:**

- Ease of Use (12 reviews)
- Analytics (5 reviews)
- Data Cleaning (4 reviews)
- Data Quality (4 reviews)
- Data Management (3 reviews)

**Cons:**

- Expensive (7 reviews)
- Not User-Friendly (3 reviews)
- Slow Performance (3 reviews)
- Training Required (3 reviews)
- Complexity (2 reviews)

### 22. [DQE One](https://www.g2.com/products/dqe-one/reviews)
  DQE One is a real-time data quality platform that validates, standardizes, deduplicates, and enriches customer data, including email addresses, phone numbers, and postal addresses. It helps businesses maintain accurate, complete, and unified customer data across CRM systems, marketing platforms, and operational tools. DQE One solves common data quality challenges such as: - Invalid emails and poor deliverability - Incorrect postal addresses and failed deliveries - Wrong phone numbers and unreachable contacts - Duplicate records and fragmented customer data - Inconsistent data formats across systems It ensures that customer data is clean and usable from the moment it enters your systems. Key capabilities include: - Real-time validation of email, phone, and address data - Data standardization and formatting across systems - Duplicate detection and record merging to create a single customer view - Data enrichment to complete and enhance customer information - Global address validation with country-specific rules - API-first architecture for real-time processing and easy integration DQE One detects duplicate customer records and merges them to create a unified customer view. This improves CRM reliability, reporting accuracy, and overall data consistency. Typical use cases include: - CRM data cleansing and deduplication - E-commerce checkout optimization - Lead capture and contact data validation - Customer data integration across multiple systems - Data governance and data quality initiatives DQE One integrates with platforms such as Salesforce, HubSpot, and other CRM, marketing automation, and e-commerce tools. It can be deployed via API or connectors to ensure data quality across all customer touchpoints. DQE One is designed for companies that want to improve data accuracy, reduce operational inefficiencies, eliminate duplicates, and deliver better customer experiences through reliable data.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 37
**How Do G2 Users Rate DQE One?**

- **Quality of Support:** 9.6/10 (Category avg: 8.8/10)
- **Automation:** 9.0/10 (Category avg: 8.7/10)
- **Identification:** 9.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.6/10 (Category avg: 8.4/10)

**Who Is the Company Behind DQE One?**

- **Seller:** [DQE](https://www.g2.com/sellers/dqe)
- **Company Website:** https://dqe.tech/
- **Year Founded:** 2008
- **HQ Location:** Levallois-Perret, Île-de-France
- **Twitter:** @dqe_software (174 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dqe-software/ (76 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Computer Software
  - **Company Size:** 38% Small-Business, 38% Mid-Market


#### What Are DQE One's Pros and Cons?

**Pros:**

- Ease of Use (4 reviews)
- CRM Integration (2 reviews)
- Data Accuracy (2 reviews)
- Data Quality (2 reviews)
- Intuitive (2 reviews)


### 23. [Plauti](https://www.g2.com/products/plauti/reviews)
  Plauti keeps your CRM data accurate, complete, and ready for business. Verify, deduplicate, manipulate, and assign records automatically so your teams can trust their data and act fast. Because when data is right, actions are right. And when actions are right, trust follows. - Verify: validate and format addresses, emails and phone numbers - Plauti Agentforce: power agents with data management actions - Deduplicate: find, prevent and merge duplicate records - Assign: route and assign any record instantly - Manipulate: handle data in single-action execution - Restore: Restore record changes across your data within Salesforce Whether you're improving customer experience, achieving AI readiness, improving data governance or driving operational efficiency, the solutions work together to turn scattered data into a trusted resource that fuels confident decision-making and business growth. \> 100% Native to Salesforce - No external processing, full data control. \> Enterprise security -Salesforce compliance, no third-party risks. \> No-Code customization - Adapt workflows easily, without IT reliance. \> Scalable & efficient - Automate processes and manage data at scale.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 114
**How Do G2 Users Rate Plauti?**

- **Quality of Support:** 9.3/10 (Category avg: 8.8/10)
- **Automation:** 8.2/10 (Category avg: 8.7/10)
- **Identification:** 8.7/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.6/10 (Category avg: 8.4/10)

**Who Is the Company Behind Plauti?**

- **Seller:** [Plauti](https://www.g2.com/sellers/plauti)
- **Company Website:** https://plauti.com/
- **Year Founded:** 2011
- **HQ Location:** Arnhem, Netherlands
- **LinkedIn® Page:** https://www.linkedin.com/company/plauti-b-v-/ (58 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Non-Profit Organization Management, Computer Software
  - **Company Size:** 55% Mid-Market, 35% Small-Business


#### What Are Plauti's Pros and Cons?

**Pros:**

- Ease of Use (30 reviews)
- Duplicate Management (29 reviews)
- Customer Support (19 reviews)
- Merging Leads (16 reviews)
- Customization (10 reviews)

**Cons:**

- Learning Curve (8 reviews)
- Complexity (7 reviews)
- Data Management Issues (6 reviews)
- Limitations (6 reviews)
- Limited Functionality (6 reviews)


    ## What Is Data Quality Tools?
  [IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure)
  ## What Software Categories Are Similar to Data Quality Tools?
    - [Salesforce AppExchange Apps](https://www.g2.com/categories/salesforce-appexchange-apps)
    - [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog)
    - [Data Preparation Software](https://www.g2.com/categories/data-preparation)
    - [Data Governance Tools](https://www.g2.com/categories/data-governance-tools)
    - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms)
    - [Active Metadata Management Software](https://www.g2.com/categories/active-metadata-management)
    - [Data Observability Software](https://www.g2.com/categories/data-observability)

  
---

## How Do You Choose the Right Data Quality Tools?

### What You Should Know About Data Quality Tools

### What are Data Quality Tools?

Data quality software is a set of various tools and services created to derive meaningful data for organizations. The tools condition the data to meet the specific needs of the users. Data quality is an integral part of data governance and data management processes through which all the data of the organization is governed. Data quality tools make it possible to achieve accuracy, relevancy, and consistency of data to make better decisions.

High-quality data can deliver desired outputs, whereas poor-quality data can result in disastrous insights. Organizations that are data-driven and frequently use data analytics for decision-making make data quality a prime factor in deciding its usefulness.

### What are the Common Features of Data Quality Tools?

Features of data quality tools mainly consider the dimensions or the metrics that define quality. These solutions can support some or all of the functions as mentioned below to deliver useful end results:

**Data cleansing:** It is the process of removing redundant, incorrect, and corrupt data. It is sometimes referred to as data cleaning or data scrubbing. Being one of the critical stages in data processing, most data quality tools have this feature. A few of the common data inaccuracies include incorrect entries and missing values.

**Data standardization:** It is a major step in organizing data. It involves converting data into a common format which makes it easier for users to access and analyze the data. This stage fulfills one of the parameters of data quality—consistency. Bringing the data into a single common format makes sure that data is consistent. Data standardization plays a key role in achieving accuracy which is another factor in data quality. It helps by giving users access to the latest cleansed and updated data.

**Data profiling:** Data profiling is the process of analyzing data, understanding the structure of data, and identifying the potential projects for the specified data. Data is minutely analyzed using analytical tools to detect characteristics like mean, minimum, maximum, and frequency.

**Data deduplication:** It is a process to eliminate excessive copies of data and reduce storage requirements. It is also called intelligent compression or single-instance storage or data dedupe.

**Data validation:** This feature ensures that data quality and accuracy are in place. In automated systems, there is minimal or almost no human supervision when the data is entered. This makes it essential to check that the data entered is correct. Common types of data validation include data check, code check, range check, format check, and consistency check. There also are certain data quality rules defined for data management platforms.

**Extract, transform, and load (ETL):** When organizations advance in the technology strategy, data from existing systems are transferred to the new systems. ETL forms a vital task of the data migration process. The end goal is to maintain data quality for the data that is being migrated. ETL stands third in the phases of the data quality lifecycle. Other phases are quality assessment, quality design, and monitoring. It involves extracting data from the data sources, transforming it by deduplicating it, and loading it into the target database.

**Master data management (MDM):** This feature manages quality data by organizing, centralizing, and enriching data. It includes non-transactional data like customer data and product data. MDM is important for enterprise data management.

**Data enrichment:** This feature is the process of enhancing the value and accuracy of data by integrating internal and external data with the existing information.

**Data catalog:** Data catalog hosts data and metadata to help users with their data discovery. Data quality monitoring tools have this feature to increase transparency in workflows.

**Data warehousing:** Data warehousing focuses on unifying data from various data sources. It ensures enterprise data quality by improving the accuracy of data.

**Data parsing:** Data usually is conformed to specific formats. For example address, telephone number, and email address all have data patterns. Parsing helps with such address verifications and also if the telephone numbers are conforming to the patterns. 

Other features of data quality software: [ERP Capabilities](https://www.g2.com/categories/data-quality/f/erp) and [File Capabilities](https://www.g2.com/categories/data-quality/f/file).

### What are the Benefits of Data Quality Tools?

Data is one of the most valuable resources for organizations today. Having high-quality data has the following advantages:

**Effective data implementation:** Good quality data improves the performance of teams and results in better business. It keeps all the departments of the organization on the same page and helps them work efficiently.

[**Improved customer relationships**](https://www.g2.com/categories/data-quality/f/crm) **:** Data quality plays a major role in retaining customers. It helps organizations track customer preferences and interests.

**Insightful decision-making:** The decision-makers always need up-to-date information to make better decisions. Data quality tools ensure business intelligence is attained through high-quality data. Good data quality helps in reducing the risk of bad decisions based on poor-quality data and increasing the efficiency of the decision-making process.

**Effective customer targeting:** With high-quality data at their fingertips, organizations can track the characteristics of their existing customers and create personas depending on what their customers prefer. This can further lead to forecasting the needs of the target market.

**Efficient product development:** Engineering teams in software development companies can audit their KPIs like engagement with the new product online. Auditing data points like button clicks can help engineers understand how ready their product is to be launched in the market or if there are any changes needed. 

**Data matching:** Effective data quality monitoring tools help in data matching. Data matching is the process of comparing two different data sets and matching them against each other. This process helps in identifying duplicate data within a [database](https://www.g2.com/categories/data-quality/f/database).

### Who Uses Data Quality Tools?

Data being the new fuel is driving organizations to figure out how it can be used to make business decisions. Below is a list of departments that utilize data quality management software :

**Data quality analysts:** They monitor the quality of data using data quality tools that help companies make informed decisions. They work with database developers to modify database designs as per the need. This persona primarily helps with data analysis, further improving the quality.

**Marketing teams:** Marketing managers must have high-quality data at use because good quality data helps drive efficient marketing campaigns in the future. Data quality tools help the teams filter unnecessary information and focus on the target market to gain a better understanding.

**IT teams:** Several times there are duplicate records which makes it difficult for IT teams to have data quality control in place. With the use of software, it is easier to govern the data and optimize data quality management.

### Challenges with Data Quality Tools 

Data quality changes with what is fed into the system. Sometimes there are a few of the below-mentioned difficulties faced while using data quality tools:

**Duplicated data:** Data deduplication tools are a must before passing over the data to the next steps. Since large amounts of data are generated through various disparate sources, it is often flawed, or some entries are duplicated. However, deduplication tools can identify the same data points and assign them for deduplication. 

**Lack of complete information:** Manual entries can cause incomplete information or not having information for every dataset. This could cause data quality tools to underperform.

**Heterogenous formats:** Inconsistent data formats are always a common pain point for data analysts. While working with data outsourcing services providers, it is recommended to specify preferred formats.

### How to Buy Data Quality Tools?

#### Requirements Gathering (RFI/RFP) for Data Quality Software

Depending upon the industry, there are a variety of data quality dimensions that must be kept in mind before the purchase of the software. Data management strategy is expected to address data governance requirements. Along with it, there are other requirements like data retention and archiving. An RFI or RFP from vendors helps to optimize the evaluation process. 

#### Compare Data Quality Products

**Create a long list**

To begin with, organizations should make a list of data quality software vendors providing features like data profiling, data preparation, deduplication, and other relevant features depending on the results they are looking to achieve.

**Create a short list**

On the basis of the fulfillment of primary requirements, the next step covers shortlisting the vendors by asking a few questions like:

- Do they provide automation in their software?
- How do the products/tools maintain performance and scale?
- What are their support timings and escalation procedures?

**Conduct demos**

Demos are an efficient way of verifying which vendor fits the bill. It gives the organization an in-depth understanding of the software. Organizations can also get answers to how well-stacked the vendor is. Usually, demos for data quality software would include the presentation of various tools and capabilities of the software such as data standardization feature, metadata management, and data quality management to name a few.

#### Selection of Data Quality Tools

**Choose a selection team**

The team involved in making this decision must include relevant decision makers. A chief marketing officer, who often needs clean data to nurture leads from their team, can test the tools during the demo. The next member to be kept in the loop is the sales lead. Data quality is equally important for the sales workforce as they want to focus more on revenue generation than just updating the data in the CRM. Data analysts are also involved since they are the ones who use these tools for data quality assessments. Along with it, data quality analysts are included in the team because they use the software to examine the data for quality requirements depending on different departments and share this processed data with them.

**Negotiation**

Because data quality is of utmost importance, it is advisable to choose the right tools for assessment. Tools that work in real time and that can be used easily by business users are something organizations want to have. It is advisable to look at the pricing of the software, if there are any additional costs, and also if the vendor offers any discount. Many data quality tools are available in both cloud and on-premises structures. It is better to have tools in the cloud as manual data quality monitoring for enterprise data could be difficult for one person or even a team.

**Final decision**

The decision to buy data quality software has to be taken by the teams involved throughout the buying process. Sales, marketing, and data analyst teams can benefit from buying the right data quality software.

### Data Quality Trends

**Data warehouse modernization**

Data warehouse modernization helps the current data warehouse environment work in synchronization with rapidly changing requirements. Organizations are coping with managing the expansion of data and data systems by modernizing the data warehouse. This emerging trend focuses on data automation to achieve the desired quality of data and business practices alike.

**Modern data hubs**

Data hubs are data storage architectures with a seamless flow of data that follow the hub and spoke model. Modern data hubs have features like data storage, harmonization, governance, metadata, and indexing. These features indicate that data hubs are more efficient than data consolidation.

**Data democratization**

Recently, organizations are making data available to independent business functions. This is to improvise transparency and consistency amongst all the departments in the organization. Advancements in visualizations have made data visibility easier at a technical level and as the trend progresses, it is expected to have the same effect on non-technical users, i.e., ease of access to data.

**Machine learning (ML) algorithms in data quality** 

Machine learning (ML) algorithms have become important for a company's data management strategy. Enterprise data is usually big data which makes it essential to have automation. Machine learning algorithms can make it possible to automate the process giving end results. ML algorithms help in improving data quality scores by identifying wrong data, incomplete data, duplicate data, and also help in performing functions like clustering, detecting anomalies, and association rule mining.