Best Data Quality Tools - Page 4

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 282

Category Stats (Sep 2026)

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

Last updated: September 15, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,400+ Authentic Reviews
  • 282+ Products
  • Unbiased Rankings

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

G2 Grid® for Data Quality Tools

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

Highlighted products: SAS Viya, GTM Studio - Powered by ZoomInfo, Monte Carlo, HubSpot Data Hub, Data Quality Navigator, dbt, DQLabs, and D&B Connect.

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

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% Small, 38% Medium

What Do G2 Reviewers Say About Cleanlab?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the easy integrations of Cleanlab, effortlessly incorporating it into their existing data processing workflows.
  • Users value the accurate error detection in Cleanlab, significantly reducing their manual review time.
  • Users benefit from Cleanlab's clear and example-driven documentation, enabling efficient use by all types of users.
  • Users appreciate the ease of use of Cleanlab, enjoying quick setup and seamless integration for data refinement.
  • Users note that Cleanlab provides significant time savings, allowing for quicker dataset management and analysis.
Cons
  • Users find the difficult setup of Cleanlab challenging initially, but valuable once they become familiar with it.
  • Users find Cleanlab expensive, making it difficult for small startups to afford its implementation.
  • Users experience slow performance when handling large datasets, indicating a need for improvement in efficiency.
  • Users find the initial setup complex, making it challenging for experimentation, especially with large datasets.
  • Users often face dependency issues with Cleanlab, relying heavily on model predictions that can complicate their workflow.

What Are Recent G2 Reviews of Cleanlab?

Qualytics

Qualytics is the data control layer for trusted context. The platform combines AI-augmented data quality with human governance to validate data before it's used, delivering governed signals as controls across analytics, applications, copilots, and agents. This platform is particularly beneficial for businesses that rely on data-driven decision-making and need to maintain high data-integrity standards across departments. The target audience for Qualytics includes data leaders and business intelligence professionals who require a seamless integration of data quality processes into their workflows. With its automated approach, Qualytics allows users to focus on strategic initiatives rather than spending excessive time on manual data quality checks. This is especially valuable in environments where data is constantly changing and accurate, timely information is critical for operational success. Key features of Qualytics include automating 95% of data quality rules, significantly reducing the manual effort required to maintain data integrity. The platform also offers built-in governance, auditability, and security measures, ensuring that data quality processes comply with industry standards and regulations. This comprehensive approach not only enhances the reliability of data but also fosters collaboration between technical and business users, aligning their goals and improving overall data management practices. By delivering reliable data, Qualytics enables organizations to make faster, more informed decisions and prepares them for the demands of AI. The platform's proactive nature helps businesses anticipate and address potential data quality issues before they escalate, ultimately improving operational efficiency and outcomes. This combination of automation, governance, and collaboration distinguishes Qualytics in the data quality management space, making it a valuable asset for enterprises seeking to harness the full potential of their data.

Average Rating: 4.8/5.0

Total Reviews: 11

How Do G2 Users Rate Qualytics?

  • Quality of Support: 9.8/10 (Category avg: 8.9/10)
  • Automation: 9.5/10 (Category avg: 8.7/10)
  • Identification: 9.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.8/10 (Category avg: 8.5/10)

Who Is the Company Behind Qualytics?

  • Seller: Qualytics
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Atlanta, US
  • Twitter: @QualyticsData
    89 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    39 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 55% Large, 36% Medium

What Do G2 Reviewers Say About Qualytics?

AI-generated summary from verified user reviews

Pros
  • Users commend Qualytics for its responsive and helpful customer support, ensuring a positive and efficient experience.
  • Users value the comprehensive API automation which allows for complete functionality beyond the UI capabilities.
  • Users appreciate the automation features of Qualytics, which streamline anomaly exports and enhance data management.
  • Users appreciate the effective data visualization offered by Qualytics, making it easy to understand and analyze results.
  • Users find Qualytics to be intuitive and user-friendly, with responsive support enhancing their experience.
Cons
  • Users note the need for UI enhancements in Qualytics, especially for non-technical users seeking easier navigation.
  • Users find the user experience lacking due to a complicated interface and slow learning curve with Qualytics.
  • Users find a steep learning curve for Qualytics, but appreciate the helpful support team in overcoming it.

What Are Recent G2 Reviews of Qualytics?

Syncari

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

Average Rating: 4.8/5.0

Total Reviews: 41

How Do G2 Users Rate Syncari?

  • Quality of Support: 9.9/10 (Category avg: 8.9/10)
  • Automation: 9.7/10 (Category avg: 8.7/10)
  • Identification: 9.4/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Syncari?

  • Seller: Syncari
  • Year Founded: 2019
  • HQ Location: Newark, California
  • Twitter: @syncari
    236 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    44 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Medium, 44% Small

What Are Recent G2 Reviews of Syncari?

What Are G2 Users Discussing About Syncari?

Anomalo

Anomalo is the agentic data management platform that autonomously monitors, investigates, surfaces, and reports on what matters across your data. No code, no prompts, and no manual tedium required. Using a proprietary data profiling and prediction engine, Anomalo learns the normal behavior of your data and identifies anomalies and noteworthy changes such as drift, missing records, schema changes, PII exposure, contradictions, bias, and more. This deep data understanding is what powers the suite of 9 agents that automate repetitive data tasks. Anomalo fits into any data stack with native integrations for Snowflake, Databricks, BigQuery, Redshift, Atlan, Alation, Airflow, dbt, Jira, ServiceNow, Slack, and Microsoft Teams. It can be deployed as SaaS, hybrid, in-VPC, or as a Snowflake Native App and meets the strictest enterprise security and compliance requirements. Enterprises use Anomalo to ensure trusted data for dashboards, regulatory reporting, customer analytics, operational intelligence, and AI/ML pipelines. Fortune 500 companies choose Anomalo because it delivers unmatched data intelligence without having to make compromises on scale, security, or simplicity.

Average Rating: 4.4/5.0

Total Reviews: 44

How Do G2 Users Rate Anomalo?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Automation: 7.9/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Anomalo?

  • Seller: Anomalo
  • Company Website:
  • Year Founded: 2018
  • HQ Location: N/A
  • Twitter: @anomalo_hq
    555 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    72 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Computer Software
  • Company Size: 50% Medium, 48% Large

What Are Recent G2 Reviews of Anomalo?

What Are G2 Users Discussing About Anomalo?

OneSchema

OneSchema provides AI agents for data operations that automate data prep, driving efficiency and improving client project margins. By standardizing raw client files to your RFIs, OneSchema helps teams reach insights and deliver results faster.

Average Rating: 4.6/5.0

Total Reviews: 47

How Do G2 Users Rate OneSchema?

  • Quality of Support: 9.5/10 (Category avg: 8.9/10)
  • Automation: 7.7/10 (Category avg: 8.7/10)
  • Identification: 8.1/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind OneSchema?

  • Seller: OneSchema
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • Twitter: @oneschema_co
    218 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Small, 44% Medium

What Do G2 Reviewers Say About OneSchema?

AI-generated summary from verified user reviews

Pros
  • Users laud the quick and reliable support provided by OneSchema, enhancing their overall experience and satisfaction.
  • Users appreciate the responsive customer support of OneSchema, ensuring quick resolutions for all inquiries and issues.
  • Users value the customization options in OneSchema, enabling them to create tailored importers effortlessly.
  • Users appreciate the ease of use of OneSchema, highlighting its intuitive and customizable importer creation process.
  • Users appreciate the quick and reliable support from OneSchema, ensuring a smooth experience even with complex issues.
Cons
  • Users seek enhanced customization options for the importer to improve flexibility and user experience in OneSchema.
  • Users desire improvements in interface design, particularly for customization options and data transformation UX.
  • Users desire improved user experience, particularly in customization and data transformation processes for OneSchema.
  • Users desire improved UX and customization options for OneSchema to enhance data transformations and development efficiency.

What Are Recent G2 Reviews of OneSchema?

Talend Data Fabric

Talend Data Fabric is a unified platform that enables you to manage all your enterprise data within a single environment. Leverage all the cloud has to offer to manage your entire data lifecycle – from connecting the broadest set of data sources and platforms to intuitive self-service data access.

Average Rating: 4.3/5.0

Total Reviews: 62

How Do G2 Users Rate Talend Data Fabric?

  • Quality of Support: 7.7/10 (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: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Talend Data Fabric?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Company Size: 45% Medium, 28% Large

What Do G2 Reviewers Say About Talend Data Fabric?

AI-generated summary from verified user reviews

Pros
  • Users praise the seamless orchestration of data flows in Talend Data Fabric, enhancing efficiency in managing data pipelines.
  • Users appreciate the unified approach to data integration provided by Talend Data Fabric, enhancing their efficiency and flexibility.
  • Users appreciate the intuitive interface of Talend Data Fabric, enabling efficient design and management of data pipelines.
  • Users value the flexibility of Talend Data Fabric, enabling effortless integration across diverse data sources and workflows.
  • Users value the efficient handling of large data volumes with Talend Data Fabric, enhancing performance and scalability.
Cons
  • Users often face a steep learning curve with Talend Data Fabric, making it challenging for beginners to navigate.
  • Users find the high cost of Talend Data Fabric to be a significant drawback despite its capabilities.
  • Users emphasize the need for UX improvement in Talend Data Fabric due to its unintuitive interface and steep learning curve.
  • Users find the poor documentation of Talend Data Fabric makes troubleshooting and getting started quite challenging.
  • Users report slow performance issues with Talend Data Fabric, particularly when handling extremely large datasets.

What Are Recent G2 Reviews of Talend Data Fabric?

What Are G2 Users Discussing About Talend Data Fabric?

Datacoves

Datacoves is an enterprise DataOps platform with managed dbt Core and Airflow for data transformation and orchestration. We offer VS Code in the browser for dbt development with the ability to include preferred VS Code extensions and Python libraries such as the official Snowflake Extension and Snowpark. You may also optionally use our managed Airbyte and Superset for a full end-to-end solution.

Average Rating: 4.8/5.0

Total Reviews: 19

How Do G2 Users Rate Datacoves?

  • Quality of Support: 9.4/10 (Category avg: 8.9/10)
  • Automation: 9.3/10 (Category avg: 8.7/10)
  • Identification: 9.2/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Datacoves?

  • Seller: Datacoves Inc
  • Year Founded: 2021
  • HQ Location: Thousand Oaks, California
  • Twitter: @datacoves
    475 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 26% Medium

What Do G2 Reviewers Say About Datacoves?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of setup with Datacoves, appreciating its flexibility and responsive support during implementation.
  • Users appreciate the well-thought-out deployment system of Datacoves, which simplifies workflows and enhances team efficiency.
  • Users value the seamless integrations of Datacoves, enhancing collaboration and efficiency for data engineering teams.
  • Users commend the responsive and knowledgeable customer support of Datacoves, enhancing their implementation experience significantly.
  • Users commend Datacoves for providing exceptional data engineering tools, enhancing collaboration and data quality in organizations.
Cons
  • Users experience poor customer support due to lack of monitoring tools and assumptions about the default environment setup.
  • Users report alert overload, leading to challenges in managing system issues effectively without proper monitoring tools.
  • Users express a need for enhanced dashboard integrations to better monitor activity and manage service bottlenecks.
  • Users may find data limitations frustrating, as they feel constrained by the tools used for ELT integration.
  • Some users may feel frustrated by dependency on specific ELT tools, potentially limiting flexibility and choice.

What Are Recent G2 Reviews of Datacoves?

timextender

Timextender is a metadata-driven data platform that helps organizations build AI-ready data infrastructure up to 10x faster. The Timextender Data Platform unifies four modules, Data Integration, Data Enrichment, Data Quality, and Orchestration, that together automate the ingestion, governance, and delivery of data across the storage platform of your choice. Timextender is designed to help businesses manage their data infrastructure without extensive manual coding, giving data teams direct control over accuracy, governance, and the pace at which they can put trusted data to work.

Average Rating: 4.3/5.0

Total Reviews: 147

How Do G2 Users Rate timextender?

  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Automation: 7.2/10 (Category avg: 8.7/10)
  • Identification: 8.3/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.8/10 (Category avg: 8.5/10)

Who Is the Company Behind timextender?

  • Seller: timextender
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Aarhus, DK
  • Twitter: @timextender
    17,630 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    90 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Business Intelligence Consultant, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 33% Small

What Do G2 Reviewers Say About timextender?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Timextender's drag-and-drop interface makes data management efficient and accessible.
  • Users praise the responsive customer support of TimeXtender, enhancing their overall experience and satisfaction.
  • Users value the automation features of TimeXtender, streamlining data integration and enhancing development efficiency.
  • Users appreciate the user-friendly interface of TimeXtender, making it easy to get started and focus on design.
  • Users appreciate the time-saving capabilities of TimeXtender, enhancing workflow efficiency and simplifying data management.
Cons
  • Users experience limitations in functionality with TimeXtender, struggling with offline issues and lack of features for collaboration.
  • Users face a steep learning curve with Data Management in TimeXtender, finding it complex and limited in functionality.
  • Users face challenges due to poor documentation, making it difficult to navigate and fully utilize TimeXtender.
  • Users face a steep learning curve with TimeXtender, struggling with complex features and limited coding assistance.
  • Users experience unexpected behavior and connectivity issues with TimeXtender, complicating data handling and project deployment.

What Are Recent G2 Reviews of timextender?

What Are G2 Users Discussing About timextender?

Sifflet

Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

Average Rating: 4.3/5.0

Total Reviews: 54

How Do G2 Users Rate Sifflet?

  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Automation: 6.7/10 (Category avg: 8.7/10)
  • Identification: 10.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Sifflet?

  • Seller: Sifflet
  • Year Founded: 2021
  • HQ Location: Paris, Ile-de-France
  • Twitter: @Siffletdata
    389 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    49 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 75% Medium, 24% Large

What Do G2 Reviewers Say About Sifflet?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency improvements of Sifflet for effective issue spotting and timely alerts on Slack.
  • Users find Sifflet's ease of use enhances monitoring, facilitating quick responses to issues and notifications.
  • Users value the monitoring capabilities of Sifflet, enabling effective management and identification of data anomalies.
  • Users value the full visibility of data lineage from Sifflet, enhancing understanding of data flow and dependencies.
  • Users value the real-time alerting system for proactive issue spotting and collaboration across teams using Slack.
Cons
  • Users find the limited customization options frustrating, particularly for bulk editing and advanced configurations.
  • Users report a complex setup process for Sifflet, requiring significant time and effort for onboarding and monitoring.
  • Users find the overwhelming number of alerts challenging, requiring significant time to manage incidents effectively.
  • Users note the limited integration options with Hadoop and Elasticsearch, hindering its effectiveness for large data loads.
  • Users experience occasional lineage view loading delays and confusion in complex data warehouse architectures.

What Are Recent G2 Reviews of Sifflet?

beVault (formerly dataFactory)

beVault is a cutting-edge data warehouse automation software designed to accelerate the deployment of your data warehouse or data platform by up to five times using the Data Vault 2.0 methodology. By automating 95% of the code generation, beVault eliminates the need for manual coding, allowing you to visually design your data models based on business concepts and seamlessly integrate them with your data sources. Key Features: - Rapid Deployment: Accelerate your data warehouse automation processes, enabling the rapid creation and deployment of new business cases five times faster, reducing time-to-market and keeping your business agile. - Business-Centric Interface: beVault’s user-friendly interface fosters collaboration between IT and business teams, allowing everyone to co-construct data models without technical barriers, enhancing efficiency. - Comprehensive Data Quality Management: With its embedded data quality framework, beVault enables organizations to leverage the benefits of Data Vault to apply data quality controls on data sources, business concepts, and attributes. Measure your data quality over time and engage your teams with data stewardship functionalities. - Triple Automation: beVault automates the generation of code for your data models, streamlines workflows and their execution, and automatically produces comprehensive documentation. This integrated approach accelerates your data projects, reduces manual effort and risk of error, while ensuring consistency across all stages of your data management process. - Flexible Deployment: Deploy beVault on-premises, in the cloud, or in a hybrid environment, ensuring maximum flexibility to meet your organization's specific needs. Experience the transformative power of beVault and upgrade your data management strategy. Start for free today or book a demo to explore how beVault can help you reach your data goals faster and with fewer resources. beVault supports multiple architecture such as Data Mesh, Data Lake and Lakehouse.

Average Rating: 4.8/5.0

Total Reviews: 11

How Do G2 Users Rate beVault (formerly dataFactory)?

  • Quality of Support: 9.6/10 (Category avg: 8.9/10)
  • Automation: 8.7/10 (Category avg: 8.7/10)
  • Identification: 8.6/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind beVault (formerly dataFactory)?

  • Seller: dFakto
  • Year Founded: 2000
  • HQ Location: Etterbeek, BE
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Medium, 27% Small

What Do G2 Reviewers Say About beVault (formerly dataFactory)?

AI-generated summary from verified user reviews

Pros
  • Users find that automation capabilities of beVault significantly enhance data quality and team efficiency.
  • Users commend the helpful customer support from dFakto, which aids significantly during the implementation process.
  • Users value the data accuracy of beVault, enhancing data quality and streamlining team productivity through automation.
  • Users value the enhanced data quality that beVault provides through automation, maximizing their team's efficiency.
  • Users value the robust data security of beVault, ensuring protection for both operations and finance efficiently.
Cons
  • Users find the complex setup of beVault challenging and rely heavily on the support team for assistance.
  • Users find the difficult setup of beVault challenging and rely heavily on support for assistance.
  • Users find the difficulty learning Data Vault concepts challenging, relying heavily on support for setup assistance.
  • Users find the steep learning curve of beVault challenging, requiring significant help from the support team to understand.

What Are Recent G2 Reviews of beVault (formerly dataFactory)?

Dedupely

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

Average Rating: 4.5/5.0

Total Reviews: 13

How Do G2 Users Rate Dedupely?

  • Quality of Support: 9.8/10 (Category avg: 8.9/10)
  • Automation: 7.7/10 (Category avg: 8.7/10)
  • Identification: 7.9/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 5.0/10 (Category avg: 8.5/10)

Who Is the Company Behind Dedupely?

  • Seller: Dedupely
  • Year Founded: 2015
  • HQ Location: Richmond, British Columbia
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 79% Small, 21% Medium

What Do G2 Reviewers Say About Dedupely?

AI-generated summary from verified user reviews

Pros
  • Users value the responsive customer support of Dedupely, ensuring quick assistance and enhanced user experience.
  • Users value the ease of use of Dedupely, praising its simplicity and efficiency in merging duplicate records.
  • Users admire the simple and effective duplicate management in Dedupely, significantly improving data accuracy and organization.
  • Users appreciate the efficiency improvement Dedupely offers, enhancing processes and merging lists effortlessly.
  • Users find that Merging Leads with Dedupely greatly speeds up the correction of duplicated contact information.
Cons
  • Users highlight the limited data management capabilities of Dedupely, needing additional tools for complete data handling.
  • Users find limited functionality in Dedupely, lacking advanced data management features for comprehensive data quality needs.
  • Users desire an improved UX/UI experience in Dedupely to enhance accessibility and ease of use.

What Are Recent G2 Reviews of Dedupely?

Soda

Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slowing innovation. Soda fixes this with the only end-to-end data quality platform that automates the entire workflow — from detection to resolution — with AI built for data quality. We meet users where they are: - Engineers manage everything as code in Git. - Business users create and review data contracts in a collaborative interface. - Together, they work in a shared, AI-powered workflow to define quality expectations, monitor metrics, and isolate and remediate bad data directly in their environment. By uniting teams, automating with AI, and securing trust at the source, Soda helps organizations like Disney, Nubank, and HelloFresh restore confidence in their data and decisions. Why Soda? - Best AI for Data Quality — purpose-built, faster, and more accurate, with 70% fewer false positives than traditional monitoring. - Unite Business and Engineering — collaborative data contracts that bridge governance and technical workflows. - Securely Isolate and Fix Bad Data — record-level anomaly detection and remediation inside your own environment. Soda brings width and depth to data quality — from every dataset across multiple warehouses to every individual record in a dataset. Join us in building a world where teams trust their data, decisions, and AI.

Average Rating: 4.4/5.0

Total Reviews: 55

How Do G2 Users Rate Soda?

  • Quality of Support: 8.7/10 (Category avg: 8.9/10)
  • Automation: 8.6/10 (Category avg: 8.7/10)
  • Identification: 8.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 7.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Soda?

  • Seller: Soda
  • Year Founded: 2018
  • HQ Location: Brussels, BE
  • Twitter: @sodadata
    897 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    129 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 40% Large

What Do G2 Reviewers Say About Soda?

AI-generated summary from verified user reviews

Pros
  • Users value the high data quality of Soda, benefiting from its intuitive interface and effective project management support.
  • Users value the responsive customer support from the Soda team through Slack, leading to effective communication and assistance.
  • Users enjoy the customization options of Soda, enabling tailored data quality tests to fit specific needs.
  • Users value the clean and intuitive interface of Soda for efficient data management and real-time insights.
  • Users value the ease of use of Soda, finding its interface intuitive and helpful for efficient project management.
Cons
  • Users find that Soda has limited functionality, with advanced features feeling underutilized for their specific project management needs.
  • Users feel that limited access controls prevent them from fully utilizing Soda's advanced features tailored for project managers.
  • Users face access issues as limited permissions hinder the utilization of advanced features tailored for project management.
  • Users feel that Soda's data management issues could improve with better automated quality testing features for efficiency.
  • Users find the limited features of Soda restrict their efficiency, lacking essential tools tailored for project management tasks.

What Are Recent G2 Reviews of Soda?

BiG EVAL

BiG EVAL is the leading test automator for data-centric projects such as data warehouses, ETL/ELT, data migrations and ERP or CRM implementations. With its ability to automatically test and verify data accuracy, it helps organizations avoid costly errors and reduce the risk of dissatisfied customers and end-users. BiG EVAL eliminates the time-consuming manual checks that many companies currently rely on, freeing up valuable time and resources. In addition, the user-friendly interface and pre-built templates make creating tests a breeze, even for those new to the tool. And for those who need more customization, scripting options are available. By using BiG EVAL, companies can avoid risks caused by inaccurate data and ensure smooth, efficient processes while easily achieving a 300% ROI.

Average Rating: 4.7/5.0

Total Reviews: 13

How Do G2 Users Rate BiG EVAL?

  • Quality of Support: 9.4/10 (Category avg: 8.9/10)
  • Automation: 9.8/10 (Category avg: 8.7/10)
  • Identification: 9.7/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.6/10 (Category avg: 8.5/10)

Who Is the Company Behind BiG EVAL?

  • Seller: BiG EVAL
  • Year Founded: 2010
  • HQ Location: Kloten, ZH
  • Twitter: @BiGEVAL
    67 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Medium, 33% Large

What Are Recent G2 Reviews of BiG EVAL?

Elementary Data

Elementary is a data observability solution designed for dbt-centric data stacks. It seamlessly integrates into your dbt development workflow and pipelines and ensures you are the first to know when something breaks. Trusted by 5000+ analytics and data engineers, Elementary helps data-driven companies deliver production-grade data.

Average Rating: 4.5/5.0

Total Reviews: 18

How Do G2 Users Rate Elementary Data?

  • Quality of Support: 9.2/10 (Category avg: 8.9/10)
  • Automation: 8.1/10 (Category avg: 8.7/10)
  • Identification: 9.0/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 4.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Elementary Data?

  • Seller: Elementary Data
  • Year Founded: 2022
  • HQ Location: N/A
  • Twitter: @ElementaryData
    403 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    43 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Medium, 22% Large

What Do G2 Reviewers Say About Elementary Data?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration and automation features of Elementary Data, enhancing their data management experience.
  • Users praise the seamless integration of Elementary Data with dbt, enhancing real-time monitoring and collaboration through Slack.
  • Users love the ease of use of Elementary Data, allowing quick setup and seamless integration with existing tools.
  • Users value the Slack integration of Elementary Data for real-time alerts and enhanced team collaboration on data issues.
  • Users value the alerting system for its customization and integration with Slack, enhancing their monitoring capabilities.
Cons
  • Users face integration issues with Elementary Data, limiting connections with tools like Metabase and requiring private keys.
  • Users face database integration issues due to limited compatibility with vital tools, hindering workflow flexibility.
  • Users are frustrated by the limited integration options of Elementary Data, restricting its adaptability to various workflows.
  • Users are frustrated by the API limitations that restrict functionality and hinder integration with other tools.
  • Users find the limited features and unclear documentation hinder effective use and understanding of Elementary Data.

What Are Recent G2 Reviews of Elementary Data?

Cloudingo

Cloudingo solves the biggest problem with Salesforce and Marketo data: duplicate records. What’s unique about Cloudingo is its ability to comb through data to find duplicated records while giving you the most flexibility and control, with the least headaches of any deduplication tool on the market. And while removing duplicates is at the core of what Cloudingo does, there’s a lot more to data cleansing. Developed with user feedback in mind, it’s no wonder Cloudingo is a favorite app among Salesforce and Marketo users. With Cloudingo you can: - Remove duplicates in Salesforce and/or Marketo - Build an unlimited number of filters using various matching styles - Merge duplicates manually, in bulk, or automatically - Update and delete records - Clean lists by matching import records with existing records to ensure no duplicates enter your data and existing records get updated - Validate mailing addresses and add geocodes - Schedule Cloudingo to run in the background, searching for a merging duplicates - Monitor your progress with sharable reports and audit activity - Integrate other systems with Cloudingo via API integrations - Create multiple permission-based user logins for added security and auditing Try Cloudingo free for 10 days, and within minutes you’ll see how many duplicate records exist in your org.

Average Rating: 4.4/5.0

Total Reviews: 37

How Do G2 Users Rate Cloudingo?

  • Quality of Support: 9.0/10 (Category avg: 8.9/10)
  • Automation: 9.8/10 (Category avg: 8.7/10)
  • Identification: 9.5/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Cloudingo?

  • Seller: Symphonic Source
  • Year Founded: 2010
  • HQ Location: Dallas, TX
  • Twitter: @SymphonicSource
    267 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®
  • Phone: (972) 241-1543

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 76% Medium, 16% Small

What Are Recent G2 Reviews of Cloudingo?

What Are G2 Users Discussing About Cloudingo?

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