Best Data Quality Tools - Page 4

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)

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Amazon Relational Database Service (RDS)

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your relational database instance via a single API call. In addition, Amazon RDS makes it easy to use replication to enhance availability and reliability for production databases. Amazon RDS for MySQL also enables you to scale out beyond the capacity of a single database deployment for read-heavy database workloads. As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use.

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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
    51 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?

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 the exceptional customer support of Qualytics for its responsiveness and helpfulness in resolving issues.
  • Users value the comprehensive API automation of Qualytics, allowing functionality parity with the UI.
  • Users admire the automation features of Qualytics, streamlining anomaly exports and enhancing data visualization effortlessly.
  • Users value the effective data visualization features of Qualytics, particularly the helpful data preview and anomaly export options.
  • Users find Qualytics intuitive and easy to use, appreciating its helpful features and responsive customer support.
Cons
  • Users find the poor interface design of Qualytics difficult for non-technical individuals, hindering quick navigation and usage.
  • Users find the poor user experience due to a complex interface and steep learning curve with Qualytics.
  • Users find the steep learning curve of Qualytics challenging, but appreciate the helpful support team.

What Are Recent G2 Reviews of Qualytics?

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
    84 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?

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
    92 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 appreciate the ease of use of Timextender, especially the intuitive drag-and-drop interface for data management.
  • Users value the responsive customer support of TimeXtender, enhancing their overall experience and implementation process.
  • Users praise the automation features of TimeXtender for streamlining workflows and simplifying complex processes.
  • Users appreciate the user-friendly interface of TimeXtender, making it easy to get started and design effectively.
  • Users find TimeXtender's time-saving capabilities invaluable, streamlining data tasks and enhancing workflow efficiency significantly.
Cons
  • Users face functional limitations with TimeXtender, including issues with offline compatibility and lack of version tracking.
  • Users face a steep learning curve with RSD-files and limited coding assistance, complicating data management.
  • Users experience poor documentation, making it difficult to navigate and utilize TimeXtender effectively.
  • Users face a steep learning curve with TimeXtender, particularly with complex data transformations and project transfers.
  • Users report unpredictable behavior and inefficiencies with error reporting, especially with large datasets and multiple users.

What Are Recent G2 Reviews of timextender?

What Are G2 Users Discussing About timextender?

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
    9 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 appreciate the responsive customer support of Dedupely, which enhances their experience and setup efficiency.
  • Users appreciate the ease of use of Dedupely, finding it simple and effective for managing duplicate records efficiently.
  • Users appreciate the efficient duplicate management of Dedupely, which streamlines data accuracy and organization significantly.
  • Users highlight the efficiency improvement in data management with Dedupely, streamlining their processes significantly.
  • Users value the efficient merging of duplicated contacts in Dedupely, significantly speeding up data correction processes.
Cons
  • Users note that Dedupely has data management limitations, lacking advanced features for comprehensive data handling.
  • Users note that Dedupely has limited functionality, lacking advanced features like data enrichment and segmentation.
  • Users suggest a need for improved UX/UI in Dedupely to enhance their overall experience with the app.

What Are Recent G2 Reviews of Dedupely?

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
    18 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 responsive community support of OneSchema, as they quickly resolve issues and answer questions effectively.
  • Users appreciate the quick and effective customer support of OneSchema, resolving issues promptly and efficiently.
  • Users value the customization options in OneSchema, enabling intuitive and tailored importers for their needs.
  • Users appreciate the ease of use of OneSchema, finding it intuitive and responsive to their needs.
  • Users value the responsive support from OneSchema, ensuring quick resolutions and confidence in their product usage.
Cons
  • Users desire enhanced customization options for OneSchema, seeking greater flexibility in the importer and UX improvements.
  • Users seek enhanced customization and better UX in interface design to improve data transformation efficiency.
  • Users seek improved UX in OneSchema, emphasizing the need for better customization and data transformation options.
  • Users desire enhanced UX improvements in OneSchema for better customization and streamlined data transformations.

What Are Recent G2 Reviews of OneSchema?

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
    50 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 find Sifflet's efficiency improvement valuable for tracking issues and receiving timely alerts via Slack.
  • Users appreciate the ease of use of Sifflet, benefiting from streamlined alerts and notifications for quick responses.
  • Users appreciate the ease of monitoring with Sifflet, effectively identifying data anomalies and trends effortlessly.
  • Users value the full visibility of data lineage offered by Sifflet, enhancing understanding of data flow and dependencies.
  • Users value the real-time alerting system for effective issue tracking and quick action via Slack notifications.
Cons
  • Users find limited customization for managing tags and bulk editing features, hindering a more streamlined experience.
  • Users report a complex setup process for Sifflet, requiring significant time and effort for onboarding and monitoring.
  • Users find the alert management process overwhelming, requiring significant time and attention to manage effectively.
  • Users highlight the limited integration of Sifflet, especially for Hadoop and Elasticsearch, impacting major data loads.
  • Users find that lineage issues can cause confusion and delays, particularly with large and complex datasets.

What Are Recent G2 Reviews of Sifflet?

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
    4,551 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 value the flexibility and scalability of Talend Data Fabric, enhancing precision in data workflows.
  • Users value the unified approach to data integration in Talend Data Fabric, enhancing efficiency across diverse data sources.
  • Users appreciate the ease of use of Talend Data Fabric, enabling efficient design and management of data flows.
  • Users value the flexibility of Talend Data Fabric, which allows seamless integration across diverse data sources.
  • Users value the efficient handling of large data volumes by Talend Data Fabric, enhancing overall data management capabilities.
Cons
  • Users struggle with the steep learning curve of Talend Data Fabric, finding it complex and difficult to master.
  • Users find the high cost of Talend Data Fabric to be a significant barrier, limiting accessibility and options.
  • Users report a need for UX improvement in Talend Data Fabric, highlighting difficulties in navigation and user-friendliness.
  • Users struggle with poor documentation, making it challenging to navigate Talend Data Fabric and troubleshoot effectively.
  • Users experience slow performance with Talend Data Fabric, especially when processing extremely large datasets, affecting overall efficiency.

What Are Recent G2 Reviews of Talend Data Fabric?

What Are G2 Users Discussing About Talend Data Fabric?

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
    127 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 real-time insights and streamlined data quality tasks provided by Soda, enhancing team alignment on data integrity.
  • Users value the responsive customer support from the Soda team via Slack, enhancing their overall experience.
  • Users love the customization options in Soda, enabling tailored data quality tests to meet their needs.
  • Users value Soda for its intuitive interface and real-time insights, enhancing data management and team alignment.
  • Users appreciate the ease of use of Soda, enabling quick access to essential information and streamlined data management.
Cons
  • Users find the limited functionality of Soda restricts advanced features, making it less suitable for specific project management needs.
  • Users find the limited access control hinder productive use of advanced features tailored for project managers.
  • Users express concern over access issues, finding advanced features underutilized and wishing for simplified tools tailored to their needs.
  • Users feel that Soda's data management issues require better automation and integration of advanced data quality testing features.
  • Users feel that the limited features in Soda hinder their ability to fully optimize their project management tasks.

What Are Recent G2 Reviews of Soda?

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
    36 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 value the automation capabilities of beVault, enhancing data quality and maximizing their team's efficiency.
  • Users commend the helpful customer support provided by dFakto, greatly assisting during implementations and operations.
  • Users benefit from the high data accuracy of beVault, improving data quality through automation and efficiency.
  • Users find beVault's ability to enhance data quality through automation invaluable for maximizing team efficiency.
  • Users value the data security provided by beVault, ensuring safe operations and finance management across various systems.
Cons
  • Users find the complex setup of beVault challenging, requiring assistance from the support team for implementation.
  • Users find the difficult setup of beVault challenging, often relying on support for assistance in implementation.
  • Users find difficulty learning Data Vault concepts, relying heavily on the support team for assistance.
  • Users struggle with the steep learning curve of beVault, relying heavily on the support team for assistance.

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

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
    12 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 highlight the ease of use of Datacoves, praising its straightforward setup and supportive implementation process.
  • Users appreciate the well-thought-out development process of Datacoves, which enhances productivity and teamwork in data engineering.
  • Users value the seamless integrations of Datacoves, enhancing collaboration and simplifying complex data workflows effectively.
  • Users appreciate the best-in-breed data engineering tools of Datacoves, enhancing collaboration and improving data quality effectively.
  • Users appreciate the easy integrations of Datacoves, streamlining collaboration and improving overall data pipeline efficiency.
Cons
  • Users feel the alert overload can lead to confusion and strain on customer support during service failures.
  • Users find the lack of dashboard integrations limits their ability to monitor activity and manage resources effectively.
  • Users express concerns about being locked into specific ELT tools, which may limit flexibility for some.
  • Some users feel locked into their ELT tools, which may limit flexibility and cause frustration.
  • Users note the difficult learning curve due to the need for extensive customization with Datacoves.

What Are Recent G2 Reviews of Datacoves?

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
    44 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Medium, 22% Small

What Do G2 Reviewers Say About Elementary Data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the seamless integration and automation features of Elementary Data, enhancing data quality and monitoring efficiency.
  • Users love the seamless integration with dbt, providing real-time alerts and an intuitive user interface for monitoring.
  • Users commend the ease of use of Elementary Data, appreciating its intuitive setup and seamless integration with dbt.
  • Users value the Slack integration for real-time alerts, enhancing collaboration and quick troubleshooting for data issues.
  • Users value the daily alerts feature of Elementary Data, enhancing data monitoring and responsiveness effortlessly.
Cons
  • Users face integration issues with tools like Metabase and BI systems, complicating their workflow and usability.
  • Users face database integration issues due to limited compatibility, hindering flexibility and adaptability in diverse workflows.
  • Users note the limited integration options of Elementary Data, impacting its adaptability with various BI platforms.
  • Users note API limitations that hinder integrations and customization, suggesting the need for a more robust solution.
  • Users find limited features in Elementary Data, hindering its full potential and causing reliance on trial-and-error.

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?

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?

Informatica Data Quality

Informatica Data Quality is a comprehensive solution designed to help organizations ensure their data is accurate, complete, and reliable. By automating critical data quality tasks, it enables businesses to trust their data for analytics, decision-making, and customer engagement. This tool supports data cleansing, standardization, validation, and enrichment across various data sources and platforms, ensuring consistency and reliability throughout the data lifecycle. Key Features and Functionality: - Data Discovery and Profiling: Allows users to profile data and perform iterative analysis to identify relationships and detect quality issues. - Rich Set of Transformations: Offers capabilities such as standardization, validation, enrichment, and de-duplication to transform data effectively. - Reusable Rules and Accelerators: Provides prebuilt business rules and accelerators that can be reused to maintain consistent data quality standards. - Integrated Data Governance: Ensures data quality is applied automatically with integrated data governance and cataloging. - AI-Powered Automation: Utilizes AI to streamline data quality processes, enhancing productivity and efficiency. Primary Value and Solutions Provided: Informatica Data Quality addresses the challenge of maintaining high-quality data across an organization. By automating data quality tasks, it reduces manual effort and minimizes errors, leading to more accurate analytics and informed decision-making. The solution ensures that data is clean, complete, and free of duplicates, which is essential for reliable business insights. Additionally, by standardizing and validating data, organizations can deliver more relevant and personalized customer experiences, thereby enhancing customer engagement and satisfaction.

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate Informatica Data Quality?

  • Quality of Support: 7.7/10 (Category avg: 8.9/10)
  • Automation: 8.3/10 (Category avg: 8.7/10)
  • Identification: 8.8/10 (Category avg: 8.9/10)
  • Preventative Cleaning: 9.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Informatica Data Quality?

  • Seller: Informatica
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,802 employees on LinkedIn®
  • Ownership: NYSE: INFA

Who Uses This Product?

  • Company Size: 58% Large, 33% Medium

What Do G2 Reviewers Say About Informatica Data Quality?

AI-generated summary from verified user reviews

Pros
  • Users value the customization options in Informatica Data Quality, allowing tailored solutions to meet specific needs.
Cons
  • Users find that there is a difficult learning curve with Informatica Data Quality, requiring substantial time to master its features.
  • Users express the learning difficulty with Informatica Data Quality, requiring significant time to understand its functionalities.
  • Users highlight the significant training required to fully grasp Informatica Data Quality's functionalities and features.

What Are Recent G2 Reviews of Informatica Data Quality?

What Are G2 Users Discussing About Informatica Data Quality?

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