Best Data Quality Tools - Page 3

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 252

Category Stats (Aug 2026)

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

Last updated: August 04, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,200+ Authentic Reviews
  • 252+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Quality Tools

G2 Grid® for Data Quality Tools plotting products by satisfaction and market presence

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

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

Sponsored

DataGroomr

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 Yet duplicate records, incomplete information, inconsistent formats, and outdated data continue to create costly challenges that impact productivity, reporting accuracy, customer experiences, and business decisions.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

Visit website

Flatfile

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: 8.9/10)
  • 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: 8.5/10)

Who Is the Company Behind Flatfile?

  • Seller: Flatfile
  • Year Founded: 2018
  • HQ Location: Denver, Colorado
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 90% Small, 6% Medium

What Do G2 Reviewers Say About Flatfile?

AI-generated summary from verified user reviews

Pros
  • Users value the time efficiency of Flatfile, appreciating the saved effort in developing similar functionalities independently.
  • Users find time-saving benefits in Flatfile, avoiding the need to build functionalities from scratch.
Cons
  • Users experience unreliable error handling with Flatfile, often facing unexpected server errors and UI instability.
  • Users report frequent error notifications that undermine trust, with server responses often leading to frustrating, cryptic experiences.
  • Users find Flatfile's limited customization options a significant drawback, hindering their ability to tailor the product to their needs.
  • Users find Flatfile's limited features frustrating, particularly due to its instability and lack of customizability.
  • Users report limited functionality with Flatfile, experiencing server errors and inadequate customizability during basic operations.

What Are Recent G2 Reviews of Flatfile?

What Are G2 Users Discussing About Flatfile?

SAP Data Management

You cannot afford to run your business on questionable data. With SAP® Data Services software, you can access, transform, and connect data to fuel your critical business processes. Together, these enterprise-class solutions enable data integration and data quality, providing the right level of insight across your business so you can make better decisions and operate more effectively.

Average Rating: 4.0/5.0

Total Reviews: 31

How Do G2 Users Rate SAP Data Management?

  • Quality of Support: 7.4/10 (Category avg: 8.9/10)
  • Automation: 9.4/10 (Category avg: 8.7/10)
  • Identification: 10.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind SAP Data Management?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Company Size: 69% Large, 22% Medium

What Are Recent G2 Reviews of SAP Data Management?

What Are G2 Users Discussing About SAP Data Management?

Avo

We help customers plan, implement, and govern their event-driven infrastructure.

Average Rating: 4.6/5.0

Total Reviews: 23

How Do G2 Users Rate Avo?

  • Quality of Support: 9.6/10 (Category avg: 8.9/10)
  • Automation: 6.7/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Avo?

  • Seller: Avo
  • Year Founded: 2018
  • HQ Location: Walnut, US
  • Twitter: @avohq
    719 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 57% Medium, 30% Small

What Do G2 Reviewers Say About Avo?

AI-generated summary from verified user reviews

Pros
  • Users value the data lineage capabilities of Avo, enhancing clarity and tracking through a unified data source.
  • Users find Avo's platform to be extremely easy to use, simplifying analytics governance with clear documentation and intuitive features.
  • Users value the user-friendly interface and robust documentation of Avo, enhancing their analytics implementation experience.
  • Users highly value Avo's responsive customer support, which effectively clarifies doubts and enhances their understanding.
  • Users value the robust data management capabilities of Avo, streamlining analytics and ensuring data integrity seamlessly.
Cons
  • Users find Avo's setup process challenging due to a steep learning curve and significant initial time investment required.
  • Users find the difficult setup of Avo challenging, requiring considerable time and effort to get started.
  • Users face a steep learning curve with Avo, making it challenging for non-technical members to get started.
  • Avo presents a steep learning curve, making initial setup challenging for non-technical team members.

What Are Recent G2 Reviews of Avo?

What Are G2 Users Discussing About Avo?

Plauti

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: 4.4/5.0

Total Reviews: 115

How Do G2 Users Rate Plauti?

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

Who Is the Company Behind Plauti?

  • Seller: Plauti
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Arnhem, Netherlands
  • LinkedIn® Page: www.linkedin.com
    58 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Computer Software
  • Company Size: 56% Medium, 35% Small

What Do G2 Reviewers Say About Plauti?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Plauti, appreciating its straightforward, customizable interface and responsive support.
  • Users appreciate the powerful duplicate management features of Plauti, offering customizable criteria and advanced merge rules.
  • Users praise the customer support for being helpful and quick to respond, enhancing the overall experience with Plauti.
  • Users appreciate the ease and efficiency of merging leads with Duplicate Check, thanks to customizable merge rules and support.
  • Users appreciate the customization options of Plauti, which allow tailored solutions for different organizational needs.
Cons
  • Users find the learning curve steep, with complex configurations and unclear features making initial use challenging.
  • Users find the complexity of options and configurations in Plauti overwhelming and challenging to master.
  • Users express frustration with data management issues, highlighting limitations in Merge Rules and storage concerns.
  • Users experience difficulties with data validation rules and limits on records, impacting their growing company's needs.
  • Users find limited functionality in Plauti, especially in matching rules, creating confusion during the deduplication process.

What Are Recent G2 Reviews of Plauti?

What Are G2 Users Discussing About Plauti?

Openprise

Openprise makes your GTM data smarter with AI and automation. As the only data and AI orchestration platform built for modern go-to-market teams, Openprise automates your processes, unifies your data silos, and consolidates point solutions so Ops leaders can build smarter GTM data — your data, your way, your timeline. Fortune 500 companies and high-growth enterprises alike rely on Openprise and its partner ecosystem to unlock cleaner data, more efficient operations, and AI-ready pipelines. See how Openprise makes your GTM data smarter at www.openprisetech.com and follow us on LinkedIn. For more information, please visit www.openprisetech.com.

Average Rating: 4.9/5.0

Total Reviews: 63

How Do G2 Users Rate Openprise?

  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Automation: 9.7/10 (Category avg: 8.7/10)
  • Identification: 9.3/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Openprise?

  • Seller: Openprise
  • Year Founded: 2014
  • HQ Location: San Mateo, US
  • Twitter: @openprisetech
    3,573 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    131 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Large, 34% Medium

What Do G2 Reviewers Say About Openprise?

AI-generated summary from verified user reviews

Pros
  • Users value the booking efficiency of Openprise due to its advanced database and flexible lead routing options.
  • Users value Openprise for its strong database and flexible lead routing options, enhancing their data management capabilities.
  • Users value the robust database and flexible lead routing options of Openprise, enhancing data management efficiency.
  • Users value the flexible options in Openprise for complex lead routing and robust database management.
  • Users value the strong database and flexible lead routing options of Openprise, enhancing their lead generation capabilities.
Cons
  • Users find the navigation and configuration difficult, indicating a need for improvements in the Openprise UI.

What Are Recent G2 Reviews of Openprise?

What Are G2 Users Discussing About Openprise?

Azure Event Grid

Azure Event Grid is a routing service that works with Azure Logic Apps and Azure Functions. It's one more solution that enables developers to focus on business value, not on infrastructure.

Average Rating: 3.5/5.0

Total Reviews: 12

How Do G2 Users Rate Azure Event Grid?

  • Quality of Support: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Azure Event Grid?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    231,632 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 31% Large, 31% Medium

What Are Recent G2 Reviews of Azure Event Grid?

WinPure Clean & Match

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: 8.9/10)
  • 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: 8.5/10)

Who Is the Company Behind WinPure Clean & Match?

  • Seller: WinPure
  • Year Founded: 2004
  • HQ Location: Theale, Berkshire
  • Twitter: @WinPure
    2,209 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    9 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Health, Wellness and Fitness
  • Company Size: 43% Small, 35% Medium

What Do G2 Reviewers Say About WinPure Clean & Match?

AI-generated summary from verified user reviews

Pros
  • Users praise WinPure's outstanding customer support, noting the team's responsiveness and helpful guidance throughout the process.
  • Users highlight the exceptional data quality of WinPure Clean & Match, ensuring accurate and efficient data management.
  • Users value the effective duplicate management of WinPure, enhancing data accuracy and streamlining their processes effortlessly.
  • Users find WinPure incredibly easy to use, allowing them to quickly start matching projects without extensive training.
  • Users value the easy access WinPure provides with its intuitive interface, allowing quick start without extensive training.

What Are Recent G2 Reviews of WinPure Clean & Match?

What Are G2 Users Discussing About WinPure Clean & Match?

IBM InfoSphere QualityStage

IBM InfoSphere QualityStage is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consistent views of key entities including customers, vendors, locations and products. The solution helps you deliver quality data for your big data, business intelligence, data warehousing, application migration and master data management projects. Also available for IBM System z.

Average Rating: 4.1/5.0

Total Reviews: 11

How Do G2 Users Rate IBM InfoSphere QualityStage?

  • Quality of Support: 8.6/10 (Category avg: 8.9/10)
  • Automation: 8.3/10 (Category avg: 8.7/10)
  • Identification: 10.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind IBM InfoSphere QualityStage?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 58% Large, 33% Medium

What Do G2 Reviewers Say About IBM InfoSphere QualityStage?

AI-generated summary from verified user reviews

Pros
  • Users praise the data accuracy of IBM InfoSphere QualityStage, essential for effective data cleansing and deduplication.
  • Users value the robust data quality capabilities of IBM InfoSphere QualityStage, enhancing enterprise data management significantly.
  • Users value the powerful duplicate management features of IBM InfoSphere QualityStage for effective data cleansing and resolution.
Cons
  • Users find the difficult setup of IBM InfoSphere QualityStage challenging, impacting the overall user experience and efficiency.
  • Users find the high costs of IBM InfoSphere QualityStage a barrier, especially for smaller teams and setups.
  • Users find IBM InfoSphere QualityStage not user-friendly, facing a steep learning curve and time-consuming configurations.
  • Users find the steep learning curve of IBM InfoSphere QualityStage challenging, requiring significant time and skill for effective use.
  • Users face a steep learning curve with IBM InfoSphere QualityStage, complicating adoption and ongoing maintenance.

What Are Recent G2 Reviews of IBM InfoSphere QualityStage?

What Are G2 Users Discussing About IBM InfoSphere QualityStage?

Telmai

Telmai is an AI-powered data observability platform that continuously monitors data across every stage of the pipeline—from ingestion to business applications. Designed for structured and semi-structured data, Telmai automatically detects anomalies, drifts, and data quality issues in real-time without sampling, ensuring reliable data for business intelligence, analytics, and AI workloads. Telmai's open architecture enables seamless data quality monitoring across the entire pipeline, integrating with over 250 systems, including data lakes, warehouses, streaming sources, and cloud storage. This provides deep insights into the health, accuracy, and consistency of data in complex environments. Telmai’s low-code interface empowers both business and technical teams to define custom metrics, automate remediation workflows, and ensure data is always actionable and reliable.

Average Rating: 4.9/5.0

Total Reviews: 22

How Do G2 Users Rate Telmai?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Automation: 8.8/10 (Category avg: 8.7/10)
  • Identification: 9.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Telmai?

  • Seller: Telmai
  • Year Founded: 2020
  • HQ Location: San Mateo , Ca
  • Twitter: @telmai1
    97 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 55% Large, 32% Medium

What Do G2 Reviewers Say About Telmai?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Telmai, highlighting its quick setup and intuitive interface.
  • Users value automation in Telmai, which enhances data quality and reduces manual monitoring efforts effectively.
  • Users value real-time anomaly detection in Telmai, enhancing data accuracy and trust across enterprise systems effortlessly.
  • Users value the proactive data quality management of Telmai, significantly enhancing data reliability and operational efficiency.
  • Users praise Telmai for its easy integrations, enhancing data observability and streamlining workflows in complex environments.
Cons
  • Users indicate that advanced error handling is essential, as current options require external workarounds for better functionality.
  • Users note a significant learning difficulty with Telmai, requiring time and effort for effective training and configuration.
  • Users find the limited functionality of Telmai restricts their ability to fully utilize the application.
  • Users find the UX improvement necessary, citing the challenging learning curve and need for better UI intuitiveness.
  • Users note the need for a more robust alert workflow initially, requiring external setups for optimal functionality.

What Are Recent G2 Reviews of Telmai?

IBM InfoSphere Information Server

Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projects and applications. Create a flexible governance strategy Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs. Modernize and consolidate your systems Enables you to consolidate applications, retire outdated databases and modernize your infrastructure, as well as automate business processes for improved cost savings. Connect business and IT Provides a unified platform that enables collaboration, which can help you bridge the gap between business and IT and align objectives.

Average Rating: 4.1/5.0

Total Reviews: 22

How Do G2 Users Rate IBM InfoSphere Information Server?

  • Quality of Support: 7.1/10 (Category avg: 8.9/10)
  • Automation: 6.7/10 (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 IBM InfoSphere Information Server?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 96% Large, 26% Medium

What Are Recent G2 Reviews of IBM InfoSphere Information Server?

What Are G2 Users Discussing About IBM InfoSphere Information Server?

Popdock

Popdock by eOne Solutions is a powerful query and reporting engine that allows you to report and combine the right data together, and then present real-time data to users in their app without writing a single line of code. Get answers fast, from anywhere you work with Popdock. Easily connect to your sources, query, and make data accessible and actionable in a user-friendly interface. Your developers will thank you. From the nitty gritty details to the big picture view, you’re able to: - Virtually Integrate: Query & easily display real-time data from one system within another. You can even embed a real-time look of external data in your CRM or financial system. No more complex mapping and wasted cloud storage, just efficient and insightful data that allows you to make better decisions. Never miss a sales or support opportunity again. - Migrate Historical Data to Data Lakes: Query & archive a selected set or a copy of your entire database to your Microsoft Azure or Amazon Web Services Data Lake. Make your legacy data accessible and reportable for the users who need it. - Self-Service Report, Securely: Forget waiting on IT. Popdock’s intuitive interface helps your team access and work with their most important data. Users can enjoy the freedom (if you let them) to filter, search, group, subgroup, add or remove columns, calculate, perform actions, export, and even embed data in other locations. - Combine Data & Report Across Multiple Sources: Compare data, join related lists, merge similar data, report across multiple companies, and summarize data with ease. Easily transform data and add restrictions where you need to. - Report on Live Excel or BI data – Stop spending hours wrangling data into your data analytics platform. With Popdock’s Excel and BI integration, you’ll say goodbye to tedious formatting and hello to no-code data joining, filtering, calculations, and data source setup. The best part? No developer is required. The cloud’s the limit. To learn more, visit www.eonesolutions.com/app/popdock/.

Average Rating: 4.6/5.0

Total Reviews: 41

How Do G2 Users Rate Popdock?

  • Quality of Support: 9.7/10 (Category avg: 8.9/10)
  • Automation: 8.9/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Popdock?

  • Seller: eOne Solutions
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Fargo, ND
  • Twitter: @eOneSolutions
    1,190 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    68 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consumer Services, Manufacturing
  • Company Size: 59% Medium, 34% Small

What Do G2 Reviewers Say About Popdock?

AI-generated summary from verified user reviews

Pros
  • Users find Popdock to be incredibly easy to use, facilitating quick problem-solving and data delivery without technical skills.
  • Users value the easy integrations of Popdock, allowing quick resolutions without developer involvement and enhanced reporting capabilities.
  • Users value the easy integrations in Popdock, enabling quick problem resolution and real-time data visibility across applications.
  • Users find reporting simple and intuitive with Popdock, enabling quick issue resolution and client-specific report creation.
  • Users appreciate the seamless data management of Popdock, making data tracking and analysis effortless and efficient.
Cons
  • Users report connectivity issues with Popdock, especially when integrating on-prem data and new environments.
  • Users experience minor bugs and connectivity issues with Popdock, requiring workarounds that affect overall usability.
  • Users face a complex setup process in Popdock, requiring extensive navigation and time for configuration.
  • Users experience connection issues, especially with on-prem data, impacting access and usability of Popdock.
  • Users find the difficult setup process of Popdock prolonged and challenging, impacting their overall experience.

What Are Recent G2 Reviews of Popdock?

Alteryx Designer Cloud

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: 8.9/10)
  • 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: 8.5/10)

Who Is the Company Behind Alteryx Designer Cloud?

  • Seller: Alteryx
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,304 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Top Industries: Information Technology and Services, Hospital & Health Care
  • Company Size: 35% Large, 35% Small

What Are Recent G2 Reviews of Alteryx Designer Cloud?

What Are G2 Users Discussing About Alteryx Designer Cloud?

Validio

Validio helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational data. Validio's AI-powered platform automatically monitors and validates both data and business KPIs, surfacing issues in real-time. This enables confident data-driven decision making across business domains such as user experiences, personalization, growth, and product development.

Average Rating: 5.0/5.0

Total Reviews: 16

How Do G2 Users Rate Validio?

  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Automation: 9.6/10 (Category avg: 8.7/10)
  • Identification: 9.9/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Validio?

  • Seller: Validio
  • Year Founded: 2019
  • HQ Location: Stockholm, SE
  • Twitter: @Validio_Data
    65 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 63% Medium, 25% Small

What Do G2 Reviewers Say About Validio?

AI-generated summary from verified user reviews

Pros
  • Users find Validio's easy data validation setup enhances monitoring and ensures quick responses to quality issues.
  • Users highlight the ease of use of Validio, making setup and implementation a seamless experience.
  • Users value the ease of setting up ML validations in Validio, enhancing data quality monitoring and responsiveness.
  • Users value the access ease of Validio, facilitating quick setup and efficient data validation for new datasets.
Cons
  • Users desire greater customizability in filtering segments for validations, which currently limits their flexibility.
  • Users find the limited customization of Validio restrictive, particularly for advanced features and reporting needs.

What Are Recent G2 Reviews of Validio?

SAS Data Management

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: 8.9/10)
  • 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: 8.5/10)

Who Is the Company Behind SAS Data Management?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18,638 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Higher Education, Research
  • Company Size: 51% Large, 26% Small

What Do G2 Reviewers Say About SAS Data Management?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of SAS Data Management instrumental for effective data preparation and transformation.
  • Users value the user-friendly data transformation tools in SAS Data Management, simplifying data preparation significantly.
  • Users value the robust data cleaning tools in SAS Data Management, enhancing accuracy and consistency throughout analytics projects.
  • Users find that SAS Data Quality streamlines data preparation, ensuring business-ready analytics and improving overall data standards.
  • Users value the strong data transformation capabilities of SAS Data Management, ensuring effective data manipulation and quality control.
Cons
  • Users find the expensive cost of SAS Data Management to be a major barrier to access and integration.
  • Users find SAS Data Management to have a not user-friendly interface, making navigation difficult for less experienced individuals.
  • Users face slow performance when handling large datasets, causing frustration and increased time consumption for reports.
  • Users find that training is required to effectively navigate the complexities of SAS Data Management, especially for non-technical individuals.
  • Users find the complexity of SAS Data Management challenging, requiring advanced statistical knowledge to navigate effectively.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

Cleanlab

Cleanlab solves the biggest challenge in AI agents: reliability. Our platform equips your team with the tools to make agents production-ready, detecting low-quality outputs, identifying root causes, improving response quality, and applying guardrails to ensure safe, accurate, and compliant performance at scale.

Average Rating: 4.2/5.0

Total Reviews: 13

How Do G2 Users Rate Cleanlab?

  • Quality of Support: 8.3/10 (Category avg: 8.9/10)
  • Automation: 9.1/10 (Category avg: 8.7/10)
  • Identification: 9.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Cleanlab?

Who Uses This Product?

  • Company Size: 38% Medium, 38% Small

What Do G2 Reviewers Say About Cleanlab?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the easy integrations of Cleanlab, enabling quick setup and efficient use with existing systems.
  • Users value the accurate error detection of Cleanlab, which saves significant time on manual reviews.
  • Users praise the clear and example-driven documentation of Cleanlab, making it accessible for all users.
  • Users note that Cleanlab provides significant time savings, enabling quicker analysis and more efficient workflows.
  • Users value the helpful community and support of Cleanlab, enhancing their experience while utilizing its functionalities.
Cons
  • Users find the difficult setup of Cleanlab to be a barrier, especially when experimenting with dependencies and configurations.
  • Users notice slow performance when processing large datasets, impacting the efficiency of label-error detection.
  • Users face initial setup complexity when installing dependencies and configuring environments, making experimentation challenging.
  • Users experience dependency issues with Cleanlab, impacting reliability and requiring careful model management.
  • Users note that Cleanlab is expensive, which may be a barrier for small startups to access its features.

What Are Recent G2 Reviews of Cleanlab?

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