# Best Data Quality Tools - Page 2

## How Many Data Quality Tools Products Does G2 Track?

**Total Products under this Category:** 251

### Category Stats (Aug 2026)

- **Average Rating:** 4.48/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Data Quality Navigator (+3.87%) - Among all products in this category, Data Quality Navigator recorded the largest rating increase compared to last month

_Last updated: August 01, 2026_

## How Does G2 Rank Data Quality Tools Products?

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

- 30 Analysts and Data Experts
- 12,500+ Authentic Reviews
- 251+ 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](https://www.g2.com/categories/data-quality/grids.png?focus%5B%5D=1327283&focus%5B%5D=142449&focus%5B%5D=135441&focus%5B%5D=1613254&focus%5B%5D=148877&focus%5B%5D=19607&focus%5B%5D=122327&focus%5B%5D=1646038)

Highlighted products: SAS Viya, Monte Carlo, GTM Studio - Powered by ZoomInfo, Data Quality Navigator, dbt, HubSpot Data Hub, DQLabs, and Quest Data Intelligence.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=monte-carlo&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=hubspot-data-hub&focus%5B%5D=dqlabs&focus%5B%5D=quest-data-intelligence)

**Sponsored**

### 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.

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=74&secure%5Bchosen_at%5D=2026-08-01T06%3A25%3A38Z&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=1327283&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%3Fpage%3D2%26post_lead_product%3Dopenprise&secure%5Btoken%5D=d9c12c2670910f58717fe8e9365d6dabbca0b2cceca74e378d1db202fa77e502&secure%5Burl%5D=https%3A%2F%2Fwww.sas.com%2Fgms%2Fredirect.jsp%3Fdetail%3DPLN73455_275629423&secure%5Burl_type%5D=custom_url)

### [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:** 4.6/5.0

**Total Reviews:** 207

#### How Do G2 Users Rate Insycle?

- **Quality of Support:** 9.3/10 (Category avg: 8.9/10)
- **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: 8.5/10)

#### Who Is the Company Behind Insycle?

- **Seller:** [Insycle](https://www.g2.com/sellers/insycle)
- **Company Website:** www.insycle.com
- **Year Founded:** 2016
- **HQ Location:** New York
- **Twitter:** @insycle  
289 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=28f2eaaab0ca6d9570bf349c24f43b613cc30fe924f2bdf1e81f60473dfdc402&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10940435%2F&secure%5Burl_type%5D=linkedin_company_website)  
9 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** 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** exceptional, thanks to its customization, automation, and supportive resources for learning.
- Users appreciate Insycle's **data accuracy** , effectively eliminating duplicates and ensuring consistency for better data management.
- Users appreciate the **effective duplicate management** of Insycle, streamlining the cleanup of CRM data effortlessly.
- Users value the **seamless HubSpot integration** of Insycle, greatly improving data accuracy and efficiency.
- Users appreciate the **responsive customer support** of Insycle, ensuring quick assistance and a smooth onboarding experience.

##### Cons

- Users find the **learning curve steep** , making the platform initially daunting and complex to navigate effectively.
- Users find the platform **not user-friendly** , with a steep learning curve and a complex interface deterring usage.
- Users find Insycle **expensive** , especially for larger HubSpot accounts with high record counts affecting value.
- Users struggle with the **complexities of parameters and confusing UI** , making the experience less efficient and frustrating.
- Users find the **user interface not intuitive** , leading to confusion and difficulty in navigating the platform's features.

#### What Are Recent G2 Reviews of Insycle?

**["Cleaning Up Years of Messy HubSpot Data Made Simple"](https://www.g2.com/survey_responses/insycle-review-13138797)**

**Rating:** 4.5/5.0 stars

_— Rob B._

[Read full review](https://www.g2.com/survey_responses/insycle-review-13138797)

**["Insycle Keeps Our CRMs Duplicate-Free with Powerful Automations and Great Support"](https://www.g2.com/survey_responses/insycle-review-13159829)**

**Rating:** 5.0/5.0 stars

_— Alena S._

[Read full review](https://www.g2.com/survey_responses/insycle-review-13159829)

#### What Are G2 Users Discussing About Insycle?

- [What is Insycle used for?](https://www.g2.com/discussions/what-is-insycle-used-for)

### [Atlan](https://www.g2.com/products/atlan/reviews)

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

**Average Rating:** 4.5/5.0

**Total Reviews:** 132

#### How Do G2 Users Rate Atlan?

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

#### Who Is the Company Behind Atlan?

- **Seller:** [Atlan](https://www.g2.com/sellers/atlan)
- **Company Website:** www.atlan.com
- **Year Founded:** 2019
- **HQ Location:** New York, US
- **Twitter:** @AtlanHQ  
9,804 Twitter followers
- **LinkedIn® Page:** [in.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=76bdd8566f32b170e53cfee476c7ff510e111497aa6c737d48bedd8b767b15e1&secure%5Burl%5D=https%3A%2F%2Fin.linkedin.com%2Fcompany%2Fatlan-hq&secure%5Burl_type%5D=linkedin_company_website)  
558 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About Atlan?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Atlan for its **ease of use** , enabling smooth data collaboration and making data management accessible to everyone.
- Users value Atlan's **powerful data discovery and collaboration features** , enhancing data quality, governance, and accessibility.
- Users value the **seamless collaboration** with Atlan, enhancing data understanding and team efficiency across organizations.
- Users appreciate the **superior data cataloging** capabilities of Atlan, enhancing data discovery and collaboration effortlessly.
- Users appreciate the **easy setup** of Atlan, which enhances collaboration and streamlines workflows effortlessly.

##### Cons

- Users face **integration issues** with Atlan, particularly with Teams and non-native database setups requiring complex configurations.
- Users experience significant **dependency issues** in Atlan, hindering functionality and complicating automated updates and integrations.
- Users note the **limited customization** of Atlan, wishing for more flexibility to suit diverse team workflows.
- Users experience **slow technical support** and inaccuracies in resolutions, impacting their overall satisfaction with Atlan.
- Users experience **limited customization and technical complexity** in Atlan's UI, making it challenging for non-technical users.

#### What Are Recent G2 Reviews of Atlan?

**["Visual Design, Collaboration, and Outstanding Customer Support"](https://www.g2.com/survey_responses/atlan-review-13191535)**

**Rating:** 4.5/5.0 stars

_— Verified User in Transportation/Trucking/Railroad_

[Read full review](https://www.g2.com/survey_responses/atlan-review-13191535)

**["Atlan as a Central Metadata Hub with Powerful Lineage and AI-Assisted Documentation"](https://www.g2.com/survey_responses/atlan-review-12758713)**

**Rating:** 4.5/5.0 stars

_— Keith G._

[Read full review](https://www.g2.com/survey_responses/atlan-review-12758713)

### [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:** 174

#### How Do G2 Users Rate Traction Complete?

- **Quality of Support:** 9.6/10 (Category avg: 8.9/10)
- **Automation:** 9.6/10 (Category avg: 8.7/10)
- **Identification:** 9.5/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.4/10 (Category avg: 8.5/10)

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

- **Seller:** [Traction Complete](https://www.g2.com/sellers/traction-complete)
- **Company Website:** tractioncomplete.com
- **Year Founded:** 2019
- **HQ Location:** Vancouver, British Columbia
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ac25f73dc9df16ac9d9d988c8cf0e721f66bb1129c41b94f4a48be6c6576590d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ftraction-complete%2F&secure%5Burl_type%5D=linkedin_company_website)  
95 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:** 54% Medium, 32% Large

#### What Do G2 Reviewers Say About Traction Complete?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **exceptional customer support** from Traction Complete, ensuring a smooth implementation and ongoing enhancements.
- Users appreciate the **ease of use** of Traction Complete, enjoying a streamlined interface and simple 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 appreciate the **routing efficiency** of Traction Complete, enhancing data management and task automation effortlessly.

##### Cons

- Users find the **administrator requirement** limiting, as it complicates usability for non-admin staff and delays issue resolution.
- Users note a **daunting learning curve** with Traction Complete's implementation, despite strong support from the CSM team.
- Users find the **navigation complexity** of Traction Complete cumbersome, requiring time to become familiar with the UI.
- Users note a **steep learning curve** for Traction Complete, though support from CSMs helps ease the process.
- Users find Traction Complete's tool **not intuitive** , especially for occasional users struggling with complex setups and navigation.

#### What Are Recent G2 Reviews of Traction Complete?

**["Seamless Routing and Stellar Support"](https://www.g2.com/survey_responses/traction-complete-review-13150159)**

**Rating:** 5.0/5.0 stars

_— Leah F._

[Read full review](https://www.g2.com/survey_responses/traction-complete-review-13150159)

**["Traction Complete Streamlines Salesforce Lead Routing and Improves Account Visibility"](https://www.g2.com/survey_responses/traction-complete-review-12864068)**

**Rating:** 4.0/5.0 stars

_— Sakshi B._

[Read full review](https://www.g2.com/survey_responses/traction-complete-review-12864068)

#### What Are G2 Users Discussing About Traction Complete?

- [What is your experience with Traction Complete for Salesforce data management, and what improvements could be made?](https://www.g2.com/discussions/what-is-your-experience-with-traction-complete-for-salesforce-data-management-and-what-improvements-could-be-made)
- [What is Traction Complete used for?](https://www.g2.com/discussions/what-is-traction-complete-used-for)

### [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: 8.9/10)
- **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: 8.5/10)

#### 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  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### 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?

**["Excellent"](https://www.g2.com/survey_responses/oracle-data-quality-review-8936494)**

**Rating:** 5.0/5.0 stars

_— Ms. Tejaswini P._

[Read full review](https://www.g2.com/survey_responses/oracle-data-quality-review-8936494)

**["Streamlining Data Integrity with Oracle Data Quality"](https://www.g2.com/survey_responses/oracle-data-quality-review-8928291)**

**Rating:** 4.5/5.0 stars

_— Mohd. I._

[Read full review](https://www.g2.com/survey_responses/oracle-data-quality-review-8928291)

#### What Are G2 Users Discussing About Oracle Data Quality?

- [What is Oracle Data Quality used for?](https://www.g2.com/discussions/what-is-oracle-data-quality-used-for)

### [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: 8.9/10)

#### 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  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
231,632 employees on LinkedIn®
- **Ownership:** MSFT

#### Who Uses This Product?

- **Company Size:** 53% Small, 29% Medium

#### What Are Recent G2 Reviews of Microsoft Data Quality Services?

**["Data Quality Services: it is petit great tool with so much potential!"](https://www.g2.com/survey_responses/microsoft-data-quality-services-review-5312253)**

**Rating:** 4.0/5.0 stars

_— Ricardo S._

[Read full review](https://www.g2.com/survey_responses/microsoft-data-quality-services-review-5312253)

**["Very reliable useful tool"](https://www.g2.com/survey_responses/microsoft-data-quality-services-review-1813034)**

**Rating:** 5.0/5.0 stars

_— Debbie T._

[Read full review](https://www.g2.com/survey_responses/microsoft-data-quality-services-review-1813034)

#### What Are G2 Users Discussing About Microsoft Data Quality Services?

- [What is Microsoft Data Quality Services used for?](https://www.g2.com/discussions/what-is-microsoft-data-quality-services-used-for)

### [DataGroomr](https://www.g2.com/products/datagroomr/reviews)

DataGroomr is the leading AI-powered Salesforce data quality platform, helping organizations identify duplicates, merge records, standardize data, enrich information, verify accuracy, and automate ongoing data maintenance all from a single, easy-to-use solution. Clean, reliable data is essential for sales, marketing, customer support, operations, and finance teams. Yet duplicate records, incomplete information, inconsistent formats, and outdated data continue to create costly challenges that impact productivity, reporting accuracy, customer experiences, and business decisions. DataGroomr solves these challenges with advanced artificial intelligence that continuously monitors and improves Salesforce data quality. Unlike traditional tools that depend on complex matching rules and ongoing maintenance, DataGroomr uses AI-powered matching to accurately identify duplicate records across Accounts, Contacts, Leads, and other Salesforce objects with little to no configuration required. The platform helps organizations uncover more duplicates with greater accuracy, merge records safely and efficiently, automate deduplication processes, and prevent new duplicates from entering Salesforce. Intelligent matching continuously learns from data patterns and user actions to improve performance over time. Beyond duplicate management, DataGroomr provides comprehensive data quality capabilities including data standardization, email, phone, and address verification, and agentic data enrichment. Teams can fill in missing information, improve record completeness, maintain consistent formatting, and ensure customer and prospect data remains accurate and actionable. DataGroomr also supports key Salesforce workflows, including lead conversion, bulk record management, and import preparation. Organizations can identify and resolve data quality issues before they impact users, reports, automations, integrations, or downstream systems. With powerful automation, intuitive workflows, and real-time visibility into data quality health, DataGroomr makes it easy to establish and maintain trusted Salesforce data at scale. Customers benefit from improved user confidence, more accurate reporting, stronger operational efficiency, and better business outcomes. Trusted by organizations of all sizes and backed by exceptional customer support, DataGroomr delivers a smarter, simpler approach to Salesforce data quality, helping teams spend less time fixing data and more time using it. Start your free trial at: http://www.datagroomr.com

**Average Rating:** 4.8/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate DataGroomr?

- **Quality of Support:** 9.6/10 (Category avg: 8.9/10)
- **Automation:** 9.2/10 (Category avg: 8.7/10)
- **Identification:** 9.4/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.1/10 (Category avg: 8.5/10)

#### Who Is the Company Behind DataGroomr?

- **Seller:** [DataGroomr](https://www.g2.com/sellers/datagroomr)
- **Year Founded:** 2018
- **HQ Location:** Philadelphia, PA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b4d115d863891aad98d64e725ab9fd5a37eeb513177aaf0175d0da543cdd500c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatagroomr%2F&secure%5Burl_type%5D=linkedin_company_website)  
6 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Non-Profit Organization Management
- **Company Size:** 63% Medium, 20% Small

#### What Do G2 Reviewers Say About DataGroomr?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **quick deduplication** of Salesforce data, significantly reducing cleanup time and enhancing data quality.
- Users find DataGroomr's **ease of use** exceptional, streamlining data cleanup and ensuring high-quality data effortlessly.
- Users praise the **exceptional customer support** of DataGroomr, noting their willingness to help resolve issues effectively.
- Users value the **intuitive interface** of DataGroomr, enabling easy setup and efficient handling of tasks.
- Users love the **seamless Salesforce integration** of DataGroomr, which simplifies data management and improves efficiency.

##### Cons

- Users may experience a **steep learning curve** with DataGroomr's tools, requiring time to understand its logic and configuration.
- Users note a **learning curve** in DataGroomr, as creating field matching rules can be complex and unintuitive.
- Users note a **difficult learning curve** with DataGroomr, requiring time to fully grasp its features and functionality.
- Users find the **difficult setup** process challenging, but appreciate the support from the fantastic team available to assist.
- Users note a **learning difficulty** with DataGroomr due to its complex logic and lack of documentation for advanced features.

#### What Are Recent G2 Reviews of DataGroomr?

**["Great Dashboard and AI Rule Generation That Speeds Up Data Cleaning"](https://www.g2.com/survey_responses/datagroomr-review-12264292)**

**Rating:** 5.0/5.0 stars

_— John G._

[Read full review](https://www.g2.com/survey_responses/datagroomr-review-12264292)

**["Reliable and efficient tool for Salesforce data management"](https://www.g2.com/survey_responses/datagroomr-review-11574634)**

**Rating:** 5.0/5.0 stars

_— Jimmy L._

[Read full review](https://www.g2.com/survey_responses/datagroomr-review-11574634)

### [QuerySurge](https://www.g2.com/products/querysurge/reviews)

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

**Average Rating:** 4.6/5.0

**Total Reviews:** 36

#### How Do G2 Users Rate QuerySurge?

- **Quality of Support:** 9.0/10 (Category avg: 8.9/10)
- **Automation:** 9.8/10 (Category avg: 8.7/10)
- **Identification:** 9.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 10.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind QuerySurge?

- **Seller:** [QuerySurge](https://www.g2.com/sellers/querysurge)
- **Company Website:** www.querysurge.com
- **Year Founded:** 2012
- **HQ Location:** New York, US
- **Twitter:** @QuerySurge  
6,537 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8084ec3407bb19256b059a159a645ad1631cd360a01088b1a900e2716d7db8ae&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fquerysurge%2F&secure%5Burl_type%5D=linkedin_company_website)  
7 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 43% Large, 30% Medium

#### What Do G2 Reviewers Say About QuerySurge?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of QuerySurge, facilitating efficient data testing and simplifying workflows with AI integration.
- Users value the **intuitive AI chat engine** of QuerySurge, which simplifies test creation and boosts productivity significantly.
- Users love the **automation capabilities** of QuerySurge, enabling efficient data testing and faster development cycles.
- Users appreciate the **powerful data handling capabilities** of QuerySurge, enhancing efficiency in large-scale data testing.
- Users praise the **easy setup** of QuerySurge, enhancing productivity and streamlining onboarding for teams.

##### Cons

- Users note the **limited data source support** in QuerySurge, requiring extra steps for JSON validation and reducing efficiency.
- Users note a **lack of support for JSON and REST API sources** , complicating the validation process for modern data pipelines.
- Users experience **inaccuracy issues** with differing failure counts, reducing clarity and complicating data validation efforts.
- Users often experience **slow performance** with QuerySurge, especially during complex operations and with large datasets.
- New users may find the **complex setup** of QuerySurge daunting, especially with advanced configurations and large datasets.

#### What Are Recent G2 Reviews of QuerySurge?

**["QuerySurge Streamlines ETL Data Validation with Efficient SQL-Based Automation"](https://www.g2.com/survey_responses/querysurge-review-12931112)**

**Rating:** 5.0/5.0 stars

_— Kavyasri P._

[Read full review](https://www.g2.com/survey_responses/querysurge-review-12931112)

**["Useful for ETL data validation and saves manual effort"](https://www.g2.com/survey_responses/querysurge-review-12692896)**

**Rating:** 5.0/5.0 stars

_— Ashitosh S._

[Read full review](https://www.g2.com/survey_responses/querysurge-review-12692896)

### [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:** 39

#### How Do G2 Users Rate DQE One?

- **Quality of Support:** 9.7/10 (Category avg: 8.9/10)
- **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: 8.5/10)

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

- **Seller:** [DQE](https://www.g2.com/sellers/dqe)
- **Company Website:** dqe.tech
- **Year Founded:** 2008
- **HQ Location:** Levallois-Perret, Île-de-France
- **Twitter:** @dqe\_software  
173 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c5e15f9d3cdb19e154b5528bad5897f0ec11441cb0db7f18d2e86ad012f8ca8d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdqe-software%2F&secure%5Burl_type%5D=linkedin_company_website)  
77 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 36% Medium, 36% Small

#### What Do G2 Reviewers Say About DQE One?

_AI-generated summary from verified user reviews_

##### Pros

- Users find DQE One to be **easy to use** and highly intuitive, enhancing operational efficiency and data management.
- Users value the **seamless CRM integration** of DQE One, enhancing data consistency and operational efficiency effectively.
- Users praise the **data accuracy** of DQE One, enhancing data management and operational performance with ease of use.
- Users laud the **improved data quality** from DQE One, enhancing both management processes and operational performance.
- Users find DQE One to be an **intuitive solution** , greatly simplifying data management and enhancing accessibility for all teams.

#### What Are Recent G2 Reviews of DQE One?

**["an effective solution to ensure the quality and reliability of data"](https://www.g2.com/survey_responses/dqe-one-review-12889203)**

**Rating:** 5.0/5.0 stars

_— Sana B._

[Read full review](https://www.g2.com/survey_responses/dqe-one-review-12889203)

**["Simple API and very precise results for normalizing our POI addresses"](https://www.g2.com/survey_responses/dqe-one-review-12262097)**

**Rating:** 5.0/5.0 stars

_— Denis B._

[Read full review](https://www.g2.com/survey_responses/dqe-one-review-12262097)

### [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: 8.9/10)

#### Who Is the Company Behind Findymail?

- **Seller:** [Findymail](https://www.g2.com/sellers/findymail)
- **Year Founded:** 2022
- **HQ Location:** France
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8c4ccef87e1443c1025744bc73f1912705e12016f8b574b3c81fa2f96b9b7c7b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffindymail&secure%5Burl_type%5D=linkedin_company_website)  
13 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Founder
- **Top Industries:** Marketing and Advertising, Computer Software
- **Company Size:** 79% Small, 16% Medium

#### What Do G2 Reviewers Say About Findymail?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Findymail, thanks to its intuitive interface and seamless integration with tools.
- Users commend the **data accuracy** of Findymail, noting its real-time verification and fresh, reliable information.
- Users praise the **data verification accuracy** of Findymail, ensuring minimal bounce rates and efficient email management.
- Users commend the **exceptional customer support** from Findymail, appreciating their prompt and effective assistance.
- Users praise the **exceptional accuracy** of Findymail, achieving minimal bounce rates with verified real-time emails.

##### Cons

- Users find Findymail **expensive** , particularly for businesses with high outreach due to increasing costs based on usage.
- Users experience **limited contacts** with Findymail, resulting in incomplete information for outreach efforts.
- Users find the **poor filtering options** hinder targeting precision, affecting overall effectiveness in obtaining contact information.
- Users wish for improved **AI integration** with Clay and express concerns over credit charges for previously found emails.
- Users experience **inaccurate data** from Findymail, leading to difficulties in finding information based on names.

#### What Are Recent G2 Reviews of Findymail?

**["Accurate and Comprehensive Email Search Tool"](https://www.g2.com/survey_responses/findymail-review-12029379)**

**Rating:** 5.0/5.0 stars

_— Yash A._

[Read full review](https://www.g2.com/survey_responses/findymail-review-12029379)

**["Best tool for sale business to find mails"](https://www.g2.com/survey_responses/findymail-review-9087383)**

**Rating:** 4.5/5.0 stars

_— satish j._

[Read full review](https://www.g2.com/survey_responses/findymail-review-9087383)

### [Introhive](https://www.g2.com/products/introhive/reviews)

Introhive is a leading Relationship Intelligence platform that empowers firms to break down data silos and gain actionable insights from their relationships to fuel collaboration and growth. With Introhive’s Relationship Intelligence, firms can identify key relationships within the firm, measure the strength of client and prospect relationships, foster cross-firm collaboration, uncover risks or opportunities by understanding the health of relationships over time, and leverage these insights for business development and client retention efforts. Trusted by industry-leading brands, Introhive’s supports over 250,000 users in 90+ countries.

**Average Rating:** 4.5/5.0

**Total Reviews:** 85

#### How Do G2 Users Rate Introhive?

- **Quality of Support:** 9.1/10 (Category avg: 8.9/10)
- **Automation:** 8.6/10 (Category avg: 8.7/10)
- **Identification:** 8.2/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 8.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Introhive?

- **Seller:** [Introhive](https://www.g2.com/sellers/introhive)
- **Year Founded:** 2012
- **HQ Location:** Fredericton
- **Twitter:** @Introhive  
9,830 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=855d51b7383c7ffd84e8e2edbff5a56d746ce3011894183e50ed498c042d0dbd&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2636221%2F&secure%5Burl_type%5D=linkedin_company_website)  
221 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Legal Services, Accounting
- **Company Size:** 50% Medium, 34% Large

#### What Do G2 Reviewers Say About Introhive?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **highly responsive customer support** of Introhive, enhancing productivity and teamwork in the company.
- Users value the **excellent analytics** features of Introhive, enhancing client understanding and team collaboration.
- Users find Introhive to be **easy to use** , enhancing their customer success and partnership experience effortlessly.
- Users appreciate the **easy integrations** of Introhive, enhancing workflow efficiency and boosting company productivity.
- Users find that Introhive enhances **efficiency** through smooth tool integration and robust reporting features.

##### Cons

- Users find the product initially **confusing to use** , but it becomes smoother after the learning curve.
- Users find the **difficult learning curve** of Introhive challenging initially, but it becomes smoother with practice.
- Users find the service **very expensive** , which raises concerns regarding its overall value and affordability.
- Users find the **learning curve confusing** initially, but it becomes smoother once they grasp the system.

#### What Are Recent G2 Reviews of Introhive?

**["Streamlined Our CRM with Insightful Automation"](https://www.g2.com/survey_responses/introhive-review-12457126)**

**Rating:** 4.0/5.0 stars

_— Nickelston D._

[Read full review](https://www.g2.com/survey_responses/introhive-review-12457126)

**["Effortless CRM Automation with Relationship Intelligence"](https://www.g2.com/survey_responses/introhive-review-12532253)**

**Rating:** 4.0/5.0 stars

_— Yehudit M._

[Read full review](https://www.g2.com/survey_responses/introhive-review-12532253)

#### What Are G2 Users Discussing About Introhive?

- [How do you use Introhive?](https://www.g2.com/discussions/how-do-you-use-introhive)
- [What is Introhive Salesforce?](https://www.g2.com/discussions/what-is-introhive-salesforce)
- [How do you use an Introhive?](https://www.g2.com/discussions/how-do-you-use-an-introhive) - 1 comment
- [What does Introhive do?](https://www.g2.com/discussions/what-does-introhive-do) - 1 comment

### [BizProspex CRM Cleaning](https://www.g2.com/products/bizprospex-crm-cleaning/reviews)

At BizProspex, we help businesses fix CRM databases that have become unreliable over time. Duplicate contacts, outdated emails, incorrect job titles, and inconsistent formatting build up naturally, and they end up slowing down sales teams and weakening campaign results. Our CRM Cleaning service identifies these issues across your entire database and corrects them. We remove duplicates, standardize fields, and verify contact details like emails, phone numbers, and job titles against trusted sources. We combine AI-based detection with manual review from our analysts, so every record is checked for accuracy before delivery. With over 2500 projects completed and 13+ years of experience, we focus on giving teams a CRM they can actually trust, one that supports better targeting, stronger pipeline accuracy, and more confident decision making.

**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: 8.9/10)
- **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: 8.5/10)

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

- **Seller:** [Bizprospex](https://www.g2.com/sellers/bizprospex)
- **Year Founded:** 2013
- **HQ Location:** Suwanee, Georgia, United States
- **Twitter:** @BizProspex  
560 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=2054e5d1fe60de2d6cef24b5cb1904929c2284a0832d8ec1cb9fcf2feaf9ae49&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fbiz-prospex%2F&secure%5Burl_type%5D=linkedin_company_website)  
164 employees on LinkedIn®
- **Phone:** +91 7697120653

#### Who Uses This Product?

- **Company Size:** 87% Small, 13% Medium

#### What Are Recent G2 Reviews of BizProspex CRM Cleaning?

**["Best B2B intent data"](https://www.g2.com/survey_responses/bizprospex-crm-cleaning-review-7156293)**

**Rating:** 5.0/5.0 stars

_— Verified User in Architecture & Planning_

[Read full review](https://www.g2.com/survey_responses/bizprospex-crm-cleaning-review-7156293)

**["Cool software made by smart professional guys who know their job"](https://www.g2.com/survey_responses/bizprospex-crm-cleaning-review-4408140)**

**Rating:** 5.0/5.0 stars

_— Nikhil B._

[Read full review](https://www.g2.com/survey_responses/bizprospex-crm-cleaning-review-4408140)

#### What Are G2 Users Discussing About BizProspex CRM Cleaning?

- [What is BizProspex CRM Cleaning used for?](https://www.g2.com/discussions/what-is-bizprospex-crm-cleaning-used-for)

### [Informatica Cloud Data Quality](https://www.g2.com/products/informatica-cloud-data-quality/reviews)

Informatica Cloud Data Quality empowers your company to take a holistic approach to managing data quality to quickly identify, fix, and monitor data quality problems in your business applications. The solution transforms your data quality processes into a collaborative effort between business users and IT. This creates an environment that leverages data to ensure success in master data management, AI, ML, and cloud modernization initiatives.

**Average Rating:** 4.1/5.0

**Total Reviews:** 19

#### How Do G2 Users Rate Informatica Cloud Data Quality?

- **Quality of Support:** 9.2/10 (Category avg: 8.9/10)
- **Automation:** 8.3/10 (Category avg: 8.7/10)
- **Identification:** 8.3/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 6.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Informatica Cloud Data Quality?

- **Seller:** [Informatica](https://www.g2.com/sellers/informatica)
- **Company Website:** www.informatica.com
- **Year Founded:** 1993
- **HQ Location:** Redwood City, CA
- **Twitter:** @Informatica  
99,643 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=06f93f9659c25422bea5c34037117512928a659c5d640bb989ed85a85cdb1252&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3858%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,802 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services
- **Company Size:** 180% Large, 80% Medium

#### What Are Recent G2 Reviews of Informatica Cloud Data Quality?

**["Sr Data Quality Consultant - experienced IDQ implementation in various industries and platforms."](https://www.g2.com/survey_responses/informatica-cloud-data-quality-review-2266012)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-quality-review-2266012)

**["Much-needed tool for maintaining Data Quality"](https://www.g2.com/survey_responses/informatica-cloud-data-quality-review-4202570)**

**Rating:** 4.0/5.0 stars

_— Sandeep K._

[Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-quality-review-4202570)

### [Convertr](https://www.g2.com/products/convertr/reviews)

Convertr is the enterprise data integrity layer that ensures clean, compliant and complete data flows across systems and teams to support AI-readiness. Global leaders like Microsoft, Oracle, Amazon, Stripe and HP use Convertr to improve data quality, accelerate operations and gain full transparency across their lead and data supply chains. Connect internal and external tools to ensure clean, compliant and complete data that gives marketers greater visibility and control over processes so they can run higher quality campaigns, more efficiently. - Connect Convertr to your lead channels through API or data imports - Automate data processing to validate and standardise each lead to match your requirements - Integrate with your platforms or select protected CSV files to securely deliver leads - Improve reporting with Convertr analytics or through clean, consistent data sets across your tech stack - Enable your teams with globally compliant data processes, powered by lead fingerprinting, audit trails and user-level access controls

**Average Rating:** 4.6/5.0

**Total Reviews:** 18

#### How Do G2 Users Rate Convertr?

- **Quality of Support:** 9.0/10 (Category avg: 8.9/10)
- **Automation:** 8.6/10 (Category avg: 8.7/10)
- **Identification:** 8.5/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 9.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Convertr?

- **Seller:** [Convertr](https://www.g2.com/sellers/convertr)
- **Company Website:** www.convertr.io
- **Year Founded:** 2011
- **HQ Location:** London, England, United Kingdom
- **Twitter:** @convertr\_io  
795 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=12f23e952fcceb47fca2e76844aaa401334ac239f1a41aff8792c95d8ccea5f0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2885581&secure%5Burl_type%5D=linkedin_company_website)  
70 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Marketing and Advertising
- **Company Size:** 42% Large, 42% Medium

#### What Do G2 Reviewers Say About Convertr?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **high data quality** of Convertr, streamlining lead delivery and ensuring compliance effectively.
- Users appreciate the **seamless lead delivery and quality assurance** of Convertr, enhancing overall operational efficiency.
- Users value the **accuracy of information** in Convertr, enhancing lead delivery and quality assurance effortlessly.
- Users value the **accurate data** provided by Convertr, enhancing lead quality and streamlining operational efficiency.
- Users appreciate the **automation features** of Convertr, enhancing data quality and eliminating manual QA for efficiency.

##### Cons

- Users find the setup process **difficult and overwhelming** , though support is available to assist them.
- Users find the **learning curve steep** , which can be overwhelming despite receiving needed support.
- Users find the **learning difficulty** of Convertr can be overwhelming, but support is available to help navigate it.
- Users find Convertr to be **overwhelmingly technical** , requiring consistent support to navigate effectively.
- Users find the **steep learning curve** of Convertr to be overwhelming, requiring consistent support to navigate effectively.

#### What Are Recent G2 Reviews of Convertr?

**["Convertr Is a Game-Changer for Lead Validation, Compliance, and Data Quality"](https://www.g2.com/survey_responses/convertr-review-12359279)**

**Rating:** 5.0/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/convertr-review-12359279)

**["Outstanding Support Team Makes Convertr Easy to Use"](https://www.g2.com/survey_responses/convertr-review-12735218)**

**Rating:** 5.0/5.0 stars

_— Katie O._

[Read full review](https://www.g2.com/survey_responses/convertr-review-12735218)

#### What Are G2 Users Discussing About Convertr?

- [What is Convertr used for?](https://www.g2.com/discussions/what-is-convertr-used-for) - 1 comment

### [Acceldata](https://www.g2.com/products/acceldata/reviews)

Acceldata is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, quality, and performance of data systems across cloud, hybrid, and on-prem environments. Building on its foundation in data observability, Acceldata developed an Agentic Data Management platform that applies AI agents to autonomously detect, analyze, and resolve issues across the data lifecycle. This approach brings together observability, governance, and optimization into a unified system, allowing data environments to self-monitor, self-heal, and adapt over time. By moving from manual, reactive operations to more intelligent, automated processes, Acceldata supports scalable, efficient, and context-aware data management across the enterprise. Core Features of Acceldata’s Agentic Data Management Platform 1. Autonomous AI Agents: Acceldata deploys over 10 specialized AI agents designed to manage core data functions such as data quality, lineage, profiling, governance, pipeline health, and cost optimization. These agents continuously scan systems, detect issues, reason about their cause, and either take direct action or escalate with human oversight. They collaborate to improve data reliability, reduce downtime, and drive informed decision-making. 2. xLake Reasoning Engine: At the core of the platform is the xLake Reasoning Engine—a high-scale, AI-aware engine built to handle exabytes of data. It executes across hybrid and multi-cloud environments, translating business rules into intelligent data actions. xLake enables context-aware processing and powers the agents’ ability to reason across telemetry, metadata, and historical trends. 3. Contextual Memory and Learning: Agents don’t operate in isolation. They remember past patterns, recall prior actions, and improve over time using contextual memory. This learning ability allows agents to adapt policies, refine thresholds, and prevent repeat incidents, making pipelines and systems progressively smarter and more resilient. 4. Natural Language Interface – The Business Notebook: Acceldata features a conversational interface called the Business Notebook. This AI-powered workspace allows business users and technical teams to interact with data in natural language. It explains agent actions, visualizes lineage, and empowers non-technical users to ask questions, make decisions, and access insights without needing SQL or scripting knowledge. 5. Real-Time Data Observability and Self-Healing: The platform goes beyond traditional monitoring by offering agentic observability. It autonomously scans data systems for anomalies, schema drift, freshness decay, and operational failures. Once detected, agents not only alert but also remediate issues in real time—ensuring continuous data reliability and pipeline health. 6. Policy-Driven Governance and Compliance: Acceldata embeds governance into the fabric of your data workflows. With policy agents, organizations can define and enforce access controls, data protection rules, audit logging, and compliance policies like GDPR, HIPAA, and BCBS 239—all without manual configuration. These policies evolve automatically using machine learning and agent feedback loops. 7. Unified Data Discovery and Classification: The Discovery engine continuously scans across cloud platforms, data lakes, and warehouses to classify, tag, and map data assets. It auto-generates lineage maps, enriches assets with context (e.g., usage, sensitivity), and supports plain-language search. This eliminates the need for separate data catalogs and makes every dataset AI-ready. 8. Agent Studio for Custom Agent Creation: With Agent Studio, organizations can build and deploy their own AI agents tailored to their business needs. Whether it’s a vertical-specific data rule, a proprietary policy, or a unique remediation workflow, Agent Studio offers the flexibility to extend the platform’s capabilities and orchestrate multi-agent workflows.

**Average Rating:** 4.4/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Acceldata?

- **Quality of Support:** 8.9/10 (Category avg: 8.9/10)
- **Automation:** 8.8/10 (Category avg: 8.7/10)
- **Identification:** 9.0/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 7.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Acceldata?

- **Seller:** [Acceldata](https://www.g2.com/sellers/acceldata)
- **Company Website:** www.acceldata.io
- **Year Founded:** 2018
- **HQ Location:** Campbell, CA
- **Twitter:** @acceldataio  
340 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ff52e799d3a014d58eaea8cb85b707bea7fd8b9545c3b55ba9d8a6edf3cca69b&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Facceldata&secure%5Burl_type%5D=linkedin_company_website)  
299 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 61% Large, 23% Medium

#### What Do G2 Reviewers Say About Acceldata?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend Acceldata's **ease of use** , highlighting its simple interface and efficient data handling capabilities.
- Users praise the **fast and responsive customer support** of Acceldata, greatly enhancing their experience and efficiency.
- Users commend Acceldata for its **efficient monitoring** capabilities, enhancing data visibility and supporting quick decision-making.
- Users appreciate the **quick onboarding and effective support** of Acceldata, enhancing data management and strategy development.
- Users appreciate the **comprehensive monitoring tools** of Acceldata, enabling proactive data management and enhanced reliability.

##### Cons

- Users find the UX of Acceldata **lacking intuitiveness** and face issues with GUI elements and response time.
- Users find the **initial setup complex** , with a steep learning curve and documentation that needs improvement.
- Users find the **difficult setup** of Acceldata challenging, noting a steep learning curve and inadequate documentation.
- Users find the **learning curve steep** , making initial setup and documentation improvement necessary for better user experience.
- Users find the **learning difficulty** of Acceldata challenging, especially during the initial setup and system creation.

#### What Are Recent G2 Reviews of Acceldata?

**["Enterprise Data Reliability and Observability Platform with Strong Customization"](https://www.g2.com/survey_responses/acceldata-review-12122073)**

**Rating:** 5.0/5.0 stars

_— Jayakumar S._

[Read full review](https://www.g2.com/survey_responses/acceldata-review-12122073)

**["Versatile Data Observability with Brilliant Alerting and Monitoring"](https://www.g2.com/survey_responses/acceldata-review-12949346)**

**Rating:** 4.5/5.0 stars

_— Luciana S._

[Read full review](https://www.g2.com/survey_responses/acceldata-review-12949346)

### [SelectZero](https://www.g2.com/products/selectzero/reviews)

SelectZero is a data observability platform that helps organizations understand, validate, and monitor their data across systems to ensure reliability, consistency, and usability. Being data-driven is a strategic goal for many companies, as it unlocks new business opportunities, improves decision-making, and drives efficiency. But these gains are only achievable when the underlying data is accurate, timely, and trustworthy. Without continuous visibility into how data changes and moves across systems, teams risk delays, poor analytics, and costly mistakes. SelectZero provides a collaborative platform for end-to-end data observability and management. It enables centralized oversight of data quality, automates validation workflows, and offers transparency into data behavior. Key features include data profiling, business rule validation, unit and regression testing, reconciliation, anomaly detection, and ETL pipeline testing. The platform is built for both technical and business users. It is quick to deploy, easy to navigate, and includes prebuilt validation templates to speed up adoption. Data engineers, analysts, and stewards can create and manage validation logic, monitor data trends, and generate insights that improve trust in data assets. SelectZero is trusted by major enterprises in banking, retail, telecommunications, and the public sector across the Nordics and Baltics. Our development is customer-driven, with features shaped by real-world needs and use cases. To learn more, visit SelectZero.com or contact us at info@selectzero.com.

**Average Rating:** 4.7/5.0

**Total Reviews:** 13

#### How Do G2 Users Rate SelectZero?

- **Quality of Support:** 9.7/10 (Category avg: 8.9/10)
- **Automation:** 6.2/10 (Category avg: 8.7/10)
- **Identification:** 9.5/10 (Category avg: 8.9/10)
- **Preventative Cleaning:** 4.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SelectZero?

- **Seller:** [SelectZero](https://www.g2.com/sellers/selectzero)
- **Company Website:** selectzero.com
- **Year Founded:** 2020
- **HQ Location:** Estonia
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae2836683098f35c3d4478fdfe67499e69089a292f53a6b57ba9548bcb29a3ff&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fselectzero%2F&secure%5Burl_type%5D=linkedin_company_website)  
8 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Financial Services
- **Company Size:** 62% Medium, 23% Large

#### What Do G2 Reviewers Say About SelectZero?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **fast and friendly customer support** of SelectZero, consistently resolving issues quickly and efficiently.
- Users appreciate the **ease of use** of SelectZero, enabling efficient data management for all levels of experience.
- Users value the **user-friendly interface and robust features** of SelectZero, enhancing data governance efficiency.
- Users highlight the **user-friendly experience** of SelectZero, appreciating its intuitive design and responsive customer support.
- Users value the **efficiency improvement** provided by SelectZero, enhancing data management and streamlining workflows effortlessly.

##### Cons

- Users note some **user interface issues** in SelectZero, citing its less intuitive layout and potential for improvement.
- Users face **significant limitations** in notification options, lacking features like tables for alerts in notifications.
- Users desire **more extensive customization options** for reports and glossaries, hoping for improvements in future releases.
- Users note the **limited functionality** of notifications, hoping for more options and improvements in the future.
- Users find the **user interface challenging** , requiring time to adapt and desire more guidance for better usage.

#### What Are Recent G2 Reviews of SelectZero?

**["Data quality and governance go hand-in-hand so it makes sense to keep them in one product"](https://www.g2.com/survey_responses/selectzero-review-12245451)**

**Rating:** 5.0/5.0 stars

_— Andres V._

[Read full review](https://www.g2.com/survey_responses/selectzero-review-12245451)

**["Selectzero Makes Multi-System Data Quality Validation Easy"](https://www.g2.com/survey_responses/selectzero-review-12859240)**

**Rating:** 4.5/5.0 stars

_— Carl A._

[Read full review](https://www.g2.com/survey_responses/selectzero-review-12859240)

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[Browse Data Quality Themes](/categories/data-quality/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated March 10, 2026

Data quality tools analyze sets of information and identify incorrect, incomplete, or improperly formatted data. After profiling data concerns, data quality tools cleanse or correct that data based on previously established guidelines. Deletion, modification, appending, and merging are all common methods of data set cleansing or correction; data analysts, marketers, and salespeople are just a few positions that benefit from leveraging data quality solutions.

By targeting and cleaning data lists, data quality software allows businesses to establish and maintain high standards for data integrity. These solutions are also helpful for ensuring that data adheres to these standards, based on the required industry, market, or in-house regulations. This process of maintaining data integrity enhances the reliability of such information for business use. Data sets can range from customer contact information to granular financial statistics and much more.

Data quality software products may also share features or coexist with [master data management (MDM) software](https://www.g2.com/categories/master-data-management-mdm), [data integration software](https://www.g2.com/categories/data-integration), or [big data software](https://www.g2.com/categories/big-data). While tangentially related to data quality solutions from a functional standpoint, [address verification software](https://g2.com/categories/address-verification) differs through its distinct use cases, focus on physical location data, and reliance on authoritative location data sourcing to verify correctness.

To qualify for inclusion in the Data Quality category, a product must:

- Enable data profiling and identify data anomalies
- Provide basic data cleansing functionalities like record merge, append, and delete
- Allow data modification and standardization based on predefined rules
- Allow automated and manual cleaning options
- Offer preventive measures to preserve data integrity

Show More

* * *

## 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.