Best Data Quality Tools - Page 4

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 346

Category Stats (Nov 2026)

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

Last updated: November 01, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,300+ Authentic Reviews
  • 346+ 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, HubSpot Data Hub, Monte Carlo, Data Quality Navigator, dbt, Loqate, and DQLabs.

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=hubspot-data-hub&focus%5B%5D=monte-carlo&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=gbg-plc-loqate&focus%5B%5D=dqlabs)

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: 8.8/10)
  • Identification: 9.9/10 (Category avg: 9.0/10)
  • 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
  • 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 ease of use exceptional, ensuring effortless setup and implementation for any dataset.
  • Users find the easy setup of Validio invaluable for implementing validation processes quickly and effectively.
  • Users find the setup ease of Validio exceptional, facilitating quick integration and action on data quality alerts.
  • Users value the easy-to-setup actionable alerts in Validio, enabling swift responses to data quality issues.
  • Users value the knowledgeable customer support of Validio, enhancing their experience and understanding of the platform.
Cons
  • Users note limited customization options hinder meeting specific reporting and validation needs effectively.
  • Users express a need for enhanced reporting capabilities as the existing options do not meet their specific requirements.
  • Users would prefer greater customizability in filtering segments for validation, enhancing usability and flexibility.

What Are Recent G2 Reviews of Validio?

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: 8.8/10)
  • Identification: 9.8/10 (Category avg: 9.0/10)
  • 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
  • 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 the responsive and helpful customer support of Qualytics, enhancing their overall experience with the tool.
  • Users value the comprehensive API for automation, enabling all UI functionalities through automated processes.
  • Users appreciate the automation features of Qualytics, particularly for exporting anomalies directly to data sources.
  • Users appreciate the effective data visualization features of Qualytics, enhancing clarity and usability of data insights.
  • Users find Qualytics to be intuitive and user-friendly, enhancing their experience with its useful features.
Cons
  • Users find the poor interface design challenging, particularly for non-technical individuals seeking ease of use.
  • Users find the poor user experience due to a complex interface and a steep learning curve for Qualytics.
  • Users mention a steep learning curve with Qualytics, requiring time and effort to effectively utilize the tool.

What Are Recent G2 Reviews of Qualytics?

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: 8.8/10)
  • Identification: 8.8/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Data Management?

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

Who Uses This Product?

  • 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 value the ease of use of SAS Data Management, appreciating its user-friendly interface and automation capabilities.
  • Users value the analytics capabilities of SAS Data Management, facilitating data preparation and insightful analysis seamlessly.
  • Users appreciate the robust tools for data cleaning offered by SAS Data Management, ensuring high data accuracy and consistency.
  • Users value the robust tools for cleaning and standardizing data in SAS Data Management, ensuring accuracy and consistency.
  • Users value the strong SAS language capabilities for transforming data efficiently and ensuring accuracy in management processes.
Cons
  • Users find the high cost of SAS Data Management makes it inaccessible and strains system resources.
  • Users find the interface not user-friendly, leading to difficulties in navigation and overall usability.
  • Users report that slow performance with large datasets significantly disrupts workflow and affects overall user experience.
  • Users find that extensive training is required for effective use of SAS Data Management, especially for beginners.
  • Users find the complexity of SAS Data Management challenging, requiring advanced statistical knowledge for effective use.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

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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: 8.8/10)
  • Identification: 9.1/10 (Category avg: 9.0/10)
  • 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, making it effortless to incorporate into existing workflows.
  • Users value the accurate error detection of Cleanlab, saving them countless hours of manual review.
  • Users appreciate the clear and example-driven documentation of Cleanlab, making it accessible for all users.
  • Users find Cleanlab's ease of use remarkable, with simple integration and minimal hardware setup required.
  • Users appreciate the time-saving benefits of Cleanlab, drastically reducing the time spent on datasets.
Cons
  • Users find the difficult setup process challenging, especially when configuring environments for Cleanlab.
  • Users find Cleanlab expensive, making it challenging for small startups to afford its services.
  • Users experience slow performance with Cleanlab on large datasets, requiring additional tuning for better efficiency.
  • Users find the initial setup complexity and performance issues with large datasets to be quite challenging.
  • Users face dependency issues with Cleanlab, as it heavily relies on model predictions for functionality.

What Are Recent G2 Reviews of Cleanlab?

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: 8.8/10)
  • Identification: 8.8/10 (Category avg: 9.0/10)
  • 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
  • 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: 8.8/10)
  • Identification: 8.1/10 (Category avg: 9.0/10)
  • 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
  • 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 value the quick and reliable community support of OneSchema, enhancing their overall experience with the product.
  • Users commend the quick and reliable customer support from OneSchema, swiftly resolving issues and answering questions.
  • Users value the easy customization options in OneSchema, allowing for intuitive and polished importer creation.
  • Users value the ease of use of OneSchema, noting its intuitive and customizable importer creation process.
  • Users value the quick and reliable support from OneSchema, enhancing the overall user experience and efficiency.
Cons
  • Users desire enhanced customization options for OneSchema, indicating a need for improved flexibility in their workflow.
  • Users seek improved interface design for OneSchema, believing better UX will enhance their data transformation experience.
  • Users seek improved user experience in OneSchema, especially regarding customization and data transformation processes.
  • Users desire enhanced UX improvements for better customization and streamlined data transformations in OneSchema.

What Are Recent G2 Reviews of OneSchema?

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: 8.8/10)
  • Identification: 9.4/10 (Category avg: 9.0/10)
  • 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
  • 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?

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: 8.8/10)
  • Identification: 8.2/10 (Category avg: 9.0/10)
  • 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
  • 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 appreciate the seamless orchestration of data flows in Talend Data Fabric, enhancing efficiency and precision in workflows.
  • Users value the unified approach to data integration with Talend Data Fabric, ensuring efficient management across diverse sources.
  • Users love the user-friendly interface of Talend Data Fabric, making data integration and management efficient and intuitive.
  • Users value the flexibility of Talend Data Fabric, enabling seamless data integration across diverse sources with ease.
  • Users praise the efficient handling of large data volumes with Talend Data Fabric, ensuring quality and reliability.
Cons
  • Users find the steep learning curve of Talend Data Fabric challenging, especially due to limited documentation and resources.
  • Users find Talend Data Fabric to be expensive, sparking concerns over its high licensing costs and value for money.
  • Users find the user interface difficult to navigate, which hampers usability and makes learning challenging.
  • Users experience poor documentation with Talend Data Fabric, hindering troubleshooting and making onboarding challenging for new users.
  • Users often face slow performance with Talend Data Fabric, especially when handling large datasets, impacting their productivity.

What Are Recent G2 Reviews of Talend Data Fabric?

What Are G2 Users Discussing About Talend Data Fabric?

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: 146

How Do G2 Users Rate Timextender?

  • Quality of Support: 8.9/10 (Category avg: 8.9/10)
  • Automation: 7.2/10 (Category avg: 8.8/10)
  • Identification: 8.3/10 (Category avg: 9.0/10)
  • 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
  • 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 TimeXtender highly user-friendly, appreciating its intuitive design and supportive training resources for seamless integration.
  • Users value the exceptional customer support from TimeXtender, especially the friendly service desk and comprehensive training.
  • Users appreciate the automation features of TimeXtender, significantly saving time and ensuring consistent, high-quality data.
  • Users value the ease of use and fast implementation of TimeXtender, coupled with excellent customer support.
  • Users value the time-saving automation of TimeXtender, which simplifies data management and speeds up processes significantly.
Cons
  • Users face challenges with the learning curve and documentation, complicating onboarding and efficient use of the tool.
  • Users often struggle with unstructured documentation and a steep learning curve, complicating the onboarding of new team members.
  • Users find the poor documentation of timeXtender challenging, especially for new users seeking updated resources.
  • Users find the steep learning curve challenging, noting complexity without sufficient training and support for integration.
  • Users often face unclear error reporting, making it difficult to understand issues and leading to frustration.

What Are Recent G2 Reviews of Timextender?

What Are G2 Users Discussing About Timextender?

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: 8.8/10)
  • Identification: 9.2/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 9.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Datacoves?

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 praise the ease of use of Datacoves, appreciating its streamlined setup and responsive support throughout implementation.
  • Users appreciate the unified application of Datacoves, which streamlines ELT processes and enhances teamwork in data engineering.
  • Users value the seamless integrations of Datacoves, enhancing their ELT processes with a unified and flexible architecture.
  • Users value the top-notch data engineering tools in Datacoves, enhancing collaboration and productivity within their teams.
  • Users appreciate the easy integrations of Datacoves, enabling seamless collaboration and enhancing data pipeline efficiency.
Cons
  • Users experience alert overload due to insufficient dashboards, complicating monitoring and support during service failures.
  • Users find the lack of dashboard integrations limiting, hindering their ability to monitor service performance effectively.
  • Users feel frustrated with data limitations due to being locked into specific ELT tools, impacting overall flexibility.
  • Some users may find dependency issues concerning, feeling locked into specific tools for ELT compatibility.
  • Users find the difficult learning curve of Datacoves challenging due to extensive customization and implementation requirements.

What Are Recent G2 Reviews of Datacoves?

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: 8.8/10)
  • Identification: 8.7/10 (Category avg: 9.0/10)
  • 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
  • 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 streamlined data quality tasks in Soda, enhancing team alignment on data integrity and insights.
  • Users value the responsive support from Soda, enjoying direct interactions with the team through Slack for efficient assistance.
  • Users love the customization options of Soda, enabling tailored data quality tests and flexible usage without upfront licensing.
  • Users value the streamlined data management of Soda, enhancing team alignment and ensuring data quality effortlessly.
  • Users appreciate the ease of use of Soda, finding its interface intuitive and efficient for project management.
Cons
  • Users find the limited functionality of Soda restricts access to advanced features, hindering project management efficiency.
  • Users feel that limited access control restricts advanced feature utilization, making it less relevant for project managers' tasks.
  • Users find access issues limiting, as many advanced features remain underutilized or irrelevant for their specific roles.
  • Users feel there are data management issues with Soda, particularly related to the need for automated data quality testing.
  • Users find the limited features of Soda restrict growth and often feel underutilized for their specific roles.

What Are Recent G2 Reviews of Soda?

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: 56

How Do G2 Users Rate Sifflet?

  • Quality of Support: 8.8/10 (Category avg: 8.9/10)
  • Automation: 6.7/10 (Category avg: 8.8/10)
  • Identification: 10.0/10 (Category avg: 9.0/10)
  • 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
  • LinkedIn® Page: www.linkedin.com
    49 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 74% Medium, 23% Large

What Do G2 Reviewers Say About Sifflet?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency improvements with Sifflet, allowing proactive issue tracking and reducing unnecessary alerts.
  • Users value the ease of use of Sifflet, especially in creating monitors effortlessly for all team members.
  • Users value the ease of creating monitors with Sifflet, significantly improving data pipeline management and issue prevention.
  • Users value the clear visibility of data lineage in Sifflet, aiding in quick issue resolution and understanding impacts.
  • Users value the real-time alerts from Sifflet, enhancing issue identification and awareness across teams.
Cons
  • Users find the limited customization options for tags and dashboard layouts restrictive, impacting usability and efficiency.
  • Users find the setup process complex and time-consuming, requiring significant effort and customization to optimize functionality.
  • Users find the alert management configuration complex, which can overwhelm new users but is manageable with experience.
  • Users note the limited integration capabilities of Sifflet, affecting functionality and requiring manual UI operations.
  • Users face challenges with lineage issues, affecting root cause analysis and loading times for large datasets.

What Are Recent G2 Reviews of Sifflet?

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: 8.8/10)
  • Identification: 7.9/10 (Category avg: 9.0/10)
  • 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 praise the customer support of Dedupely for being dedicated and helpful in improving their processes.
  • Users appreciate the ease of use of Dedupely, making data cleanup straightforward and efficient for their businesses.
  • Users value the effective duplicate management of Dedupely, streamlining data accuracy and saving significant time for businesses.
  • Users value the efficiency improvement of Dedupely, streamlining data merging and enhancing overall productivity.
  • Users find merging leads with Dedupely to be fast and efficient, enhancing data accuracy seamlessly.
Cons
  • Users find that Dedupely has data management limitations, lacking features for advanced unification and data quality enhancement.
  • Users find that Dedupely has limited functionality, lacking advanced features for comprehensive data management beyond deduplication.
  • Users desire an improved UX/UI design for Dedupely to enhance their overall experience and accessibility.

What Are Recent G2 Reviews of Dedupely?

DataTrust

DataTrust by RightData is an enterprise data quality and observability platform that automates data validation, reconciliation, profiling and monitoring. It helps organizations ensure trusted, accurate, and reliable data across cloud and hybrid environments. The platform offers end-to-end data quality assurance across databases, data warehouses, data lakes, ETL pipelines and analytics platforms, enabling automated testing, schema validation and reconciliation to maintain consistency during migrations and transformations. Continuous monitoring and alerting detect anomalies and ensure data integrity (supporting audit and compliance), and integration with CI/CD pipelines accelerates testing cycles. DataTrust is designed for enterprise-scale use by data and analytics teams, delivering trusted, “ready-to-use” data products and reducing risk in reporting and BI initiatives.

Average Rating: 4.6/5.0

Total Reviews: 15

How Do G2 Users Rate DataTrust?

  • Quality of Support: 9.1/10 (Category avg: 8.9/10)
  • Automation: 9.2/10 (Category avg: 8.8/10)
  • Identification: 9.4/10 (Category avg: 9.0/10)
  • Preventative Cleaning: 6.7/10 (Category avg: 8.5/10)

Who Is the Company Behind DataTrust?

Who Uses This Product?

  • Company Size: 40% Small, 33% Large

What Do G2 Reviewers Say About DataTrust?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of DataTrust, finding it quick to learn and highly user-friendly.
  • Users value DataTrust for its time-saving capabilities, enabling faster reconciliation and enhanced productivity with a user-friendly interface.
  • Users value the user-friendly interface of DataTrust, enhancing productivity and simplifying complex data management tasks.
  • Users praise the swift bug detection capabilities of DataTrust, ensuring timely resolutions and enhancing overall user satisfaction.
  • Users appreciate the responsive customer support of DataTrust, ensuring quick fixes and enhancements to meet their needs.
Cons
  • Users experience performance issues with DataTrust, especially when processing large datasets and integrating with tools.
  • Users experience slow performance with DataTrust when processing large datasets and complex data types, needing manual intervention.
  • Users experience occasional performance issues and minor bugs with DataTrust, particularly in integration with CICD tools.
  • Users report experiencing complex setup challenges due to slow performance with large datasets and handling complex data types.
  • Users report integration issues with DataTrust, including performance and caching problems affecting functionality.

What Are Recent G2 Reviews of DataTrust?

What Are G2 Users Discussing About DataTrust?

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: 8.8/10)
  • Identification: 8.6/10 (Category avg: 9.0/10)
  • 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)?

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