Best Enterprise Data Governance Tools

How Many Data Governance Tools Products Does G2 Track?

Total Products under this Category: 214

Category Stats (Aug 2026)

  • Average Rating: 4.45/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Integrate (+5.02%) - Among all products in this category, Integrate recorded the largest rating increase compared to last month

Last updated: August 07, 2026

How Does G2 Rank Data Governance Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,100+ Authentic Reviews
  • 214+ 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 Governance Tools

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

Highlighted products: Databricks, Snowflake, Varonis Data Security Platform, AvePoint Confidence Platform, IBM watsonx.data, D&B Connect, Securiti, and IBM watsonx.governance.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-governance-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=snowflake&focus%5B%5D=varonis-data-security-platform&focus%5B%5D=avepoint-confidence-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=d-b-connect&focus%5B%5D=securiti&focus%5B%5D=ibm-watsonx-governance&segment=enterprise)

Sponsored

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

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Databricks

Databricks is a software designed to help organizations build, govern, and scale data pipelines, analytics, machine learning, AI applications, and agents. The software provides data engineering, analytics, governance, and AI development capabilities by leveraging an open lakehouse architecture built on Apache Spark, Delta Lake, MLflow, and Unity Catalog. It automates batch, streaming, and real-time data pipeline management and reduces data silos across teams, clouds, and workloads. Databricks addresses enterprise data and AI challenges by unifying structured and unstructured data processing, model development, and governed AI agent creation in a single platform. The software supports use cases including customer personalization, fraud detection, predictive maintenance, financial risk management, and supply chain optimization across AWS, Azure, and Google Cloud.

Average Rating: 4.6/5.0

Total Reviews: 1,337

How Do G2 Users Rate Databricks?

  • Roles Management: 8.9/10 (Category avg: 8.8/10)
  • Data Discovery: 8.7/10 (Category avg: 8.7/10)
  • Compliance Management: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.8/10 (Category avg: 8.7/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,627 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use and comprehensive features of Databricks for data warehousing and ML applications.
  • Users praise the ease of use of Databricks, enhancing their experience with intuitive interfaces and reliable services.
  • Users appreciate the seamless integrations of Databricks with AWS and other tools, enhancing daily operations and efficiency.
  • Users value the seamless collaboration offered by Databricks, enhancing teamwork on data projects with real-time insights.
  • Users praise the integrated analytical features of Databricks, enhancing collaborative data processing and insight visualization.
Cons
  • Users note a steep learning curve initially, with confusing permissions and compute modes affecting usability.
  • Users note that the costs can be quite high for utilizing Databricks effectively, especially for large data projects.
  • Users find a steep learning curve with Databricks, especially challenging for newcomers to big data tools.
  • Users find the complexity of Databricks challenging, especially for smaller teams and initial setup processes.
  • Users face complex setup challenges initially, though support helps simplify the experience over time.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Snowflake

Snowflake (NYSE: SNOW) is a software designed to make enterprise AI easy, efficient, and trusted for organizations of all sizes. The software provides data sharing, application development, and AI-powered analytics capabilities by leveraging a cloud-native AI Data Cloud architecture. It automates data access and sharing workflows and reduces friction in cross-organizational data collaboration. Snowflake addresses enterprise AI adoption challenges by providing a unified platform where companies can store, process, and activate data at scale. The software supports use cases including business intelligence, data application development, and AI-driven decision-making for thousands of companies worldwide.

Average Rating: 4.5/5.0

Total Reviews: 713

How Do G2 Users Rate Snowflake?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Data Discovery: 10.0/10 (Category avg: 8.7/10)
  • Compliance Management: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Snowflake?

  • Seller: Snowflake, Inc.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    11,308 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Medium, 43% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, finding it fast and effective for data sharing and analytics.
  • Users value the reliable features of Snowflake, enjoying its intuitive interface and seamless data integration for analytics.
  • Users find Snowflake's data management capabilities excellent for efficiently aggregating and querying across multiple datasets.
  • Users admire the seamless scalability of Snowflake, effortlessly accommodating work demands and ensuring optimal performance.
  • Users appreciate the fast data analysis of Snowflake, enabling quick insights without infrastructure worries.
Cons
  • Users find Snowflake's high costs burdensome, especially for small businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and challenge in permissions management.
  • Users find that cost management requires discipline, as unexpected charges can accumulate quickly without careful monitoring.
  • Users find the cost structure difficult to optimize, leading to unexpectedly high initial expenses during implementation.
  • Users find Snowflake's limited features in dynamic scripts and monitoring hinder flexibility and usability.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Varonis Data Security Platform

Varonis Data Security Platform is a software designed to secure AI systems and the enterprise data that powers them, giving organizations automated visibility and control over critical data wherever it lives. The software provides data exposure detection, access control, behavioral analytics, and managed detection and response capabilities by leveraging automated monitoring from code to runtime. It automates identification of overexposed data and excessive permissions and reduces incident response time through audit trails and real-time alerting. Varonis Data Security Platform addresses AI security and data governance challenges by continuously monitoring data access patterns and enforcing controls to stop AI-powered threats and insider risks. The software supports use cases including ransomware defense, data exfiltration prevention, regulatory compliance, and safe AI adoption for enterprise and mid-market organizations across financial services and retail.

Average Rating: 4.6/5.0

Total Reviews: 88

How Do G2 Users Rate Varonis Data Security Platform?

  • Roles Management: 8.5/10 (Category avg: 8.8/10)
  • Data Discovery: 8.9/10 (Category avg: 8.7/10)
  • Compliance Management: 9.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.1/10 (Category avg: 8.7/10)

Who Is the Company Behind Varonis Data Security Platform?

  • Seller: Varonis
  • Company Website:
  • Year Founded: 2005
  • HQ Location: New York, US
  • Twitter: @varonis
    6,400 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,798 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Manufacturing
  • Company Size: 64% Large, 32% Medium

What Do G2 Reviewers Say About Varonis Data Security Platform?

AI-generated summary from verified user reviews

Pros
  • Users value the complete visibility into sensitive data, enhancing proactive alerts and improving overall cybersecurity.
  • Users value the robust data protection and clear visibility into sensitive data that Varonis provides.
  • Users value the complete visibility into sensitive data, enabling proactive alerts and enhanced overall cybersecurity.
  • Users appreciate the complete visibility and robust data protection offered by Varonis, enhancing cybersecurity and compliance.
  • Users find the user-friendly management features of Varonis Data Security Platform enhance their overall cybersecurity experience.
Cons
  • Users note the complexity of implementation in Varonis, which may overwhelm teams lacking dedicated IT resources.
  • Users find the learning curve steep, making initial setup and feature mastery a challenging experience.
  • Users find the learning difficulty of Varonis challenging, as it requires time to understand its many features.
  • Users note the high cost of Varonis Data Security Platform can be prohibitive for smaller organizations.
  • Users find the initial setup complex, often requiring significant time and resources to fully implement Varonis.

What Are Recent G2 Reviews of Varonis Data Security Platform?

What Are G2 Users Discussing About Varonis Data Security Platform?

IBM watsonx.data

IBM watsonx.data is a software designed to help organizations access, integrate, and understand structured and unstructured data across any environment. The software provides workload optimization and consistent data governance capabilities by leveraging a hybrid, multi-environment data architecture that spans cloud and on-premises systems. It automates governance enforcement across data sources and formats and reduces cost inefficiencies through price-and-performance workload optimization. IBM watsonx.data addresses enterprise data complexity by unifying data access and management across teams and environments without requiring data migration. The software supports use cases including generative AI application development, AI agent creation, and governed analytics across diverse data sources.

Average Rating: 4.4/5.0

Total Reviews: 168

How Do G2 Users Rate IBM watsonx.data?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 8.8/10 (Category avg: 8.7/10)
  • Compliance Management: 9.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.2/10 (Category avg: 8.7/10)

Who Is the Company Behind IBM watsonx.data?

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

Who Uses This Product?

  • Who Uses This: Software Engineer, CEO
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, finding it reliable and efficient for data management tasks.
  • Users value the organized data integration and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics.
  • Users value the organized and efficient data management of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly.
  • Users value the seamless data source integration in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects.
  • Users value the ability to unify data across hybrid environments, enhancing flexibility and driving informed decision-making.
Cons
  • Users find the learning curve steep, making initial setup and navigation challenging for newcomers to IBM watsonx.data.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies.
  • Users find the pricing steep for IBM watsonx.data, making it less accessible for smaller businesses and projects.
  • Users find the difficult setup of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations.
  • Users find IBM watsonx.data difficult to navigate, especially for beginners and those unfamiliar with AI and data analytics.

What Are Recent G2 Reviews of IBM watsonx.data?

AvePoint Confidence Platform

AvePoint Confidence Platform is a software designed to unify data security, governance, and resilience to provide a trusted foundation for AI across enterprise cloud environments. The software provides lifecycle control, multicloud governance, rapid data recovery, and clear ownership management capabilities by leveraging integrations with Microsoft, Google, Salesforce, and other leading cloud platforms. It automates data protection and governance workflows and reduces overexposure, sprawl, and data loss through centralized policy enforcement and backup management. AvePoint Confidence Platform addresses the challenge of fragmented and legacy data environments by modernizing data governance and enabling rapid recovery through a single pane of glass. The software supports use cases including backup and restore, multicloud governance, AI readiness, and data loss prevention for more than 28,000 customers through a global ecosystem of approximately 6,000 MSPs, VARs, and SIs.

Average Rating: 4.5/5.0

Total Reviews: 122

How Do G2 Users Rate AvePoint Confidence Platform?

  • Ease of Use: 9.1/10 (Category avg: 8.7/10)

Who Is the Company Behind AvePoint Confidence Platform?

  • Seller: AvePoint
  • Company Website:
  • Year Founded: 2001
  • HQ Location: Jersey City, NJ
  • Twitter: @AvePoint
    9,747 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,715 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 40% Medium, 27% Large

What Do G2 Reviewers Say About AvePoint Confidence Platform?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of AvePoint Confidence Platform a significant advantage for implementation and management.
  • Users appreciate the ease of use and comprehensive backup solutions provided by AvePoint Confidence Platform.
  • Users value the flexible backup frequency options of AvePoint Confidence Platform, ensuring worry-free data protection.
  • Users value the robust security and data protection features of AvePoint Confidence Platform for comprehensive SaaS management.
  • Users appreciate the easy setup of AvePoint Confidence Platform, facilitating a smooth implementation and management experience.
Cons
  • Users note the high costs associated with the AvePoint Confidence Platform, which can become burdensome over time.
  • Users experience backup issues with inconsistent data restoration and completion errors, causing frustration and inefficiency.
  • Users express frustration with poor customer support, citing unresponsive service and issues with backup data consistency.
  • Users experience slow performance, particularly with data retrieval speed, making it challenging for new IT staff.
  • Users report technical issues with backup notifications and restore processes, complicating management and causing frustration.

What Are Recent G2 Reviews of AvePoint Confidence Platform?

What Are G2 Users Discussing About AvePoint Confidence Platform?

Securiti

Securiti is a software designed to enable the safe and governed use of data and generative AI through a centralized DataAI Command Center. The software provides unified data intelligence, security controls, and orchestration capabilities by leveraging a hybrid multicloud architecture that spans on-premises and cloud environments. It automates data security and privacy workflows and reduces compliance risk through integrated governance and policy enforcement across all data sources. Securiti addresses enterprise data trust challenges by centralizing visibility and control over data assets used to power AI, ensuring that data usage remains compliant with internal policies and external regulations. The software supports use cases including data security, privacy management, AI governance, and regulatory compliance for large global enterprises across computer software and retail industries.

Average Rating: 4.6/5.0

Total Reviews: 104

How Do G2 Users Rate Securiti?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.1/10 (Category avg: 8.7/10)
  • Compliance Management: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.7/10)

Who Is the Company Behind Securiti?

  • Seller: Veeam
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Kirkland, WA
  • Twitter: @veeam
    51,541 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    7,174 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Banking
  • Company Size: 59% Large, 19% Medium

What Do G2 Reviewers Say About Securiti?

AI-generated summary from verified user reviews

Pros
  • Users find Securiti to be easy to set up and manage, enhancing their overall experience with the tool.
  • Users commend the professional and responsive customer support provided by Securiti, enhancing their overall experience.
  • Users appreciate the robust features of Securiti, especially for data management and privacy governance support.
  • Users value Securiti for its robust automation in privacy tasks and exceptional customer support, enhancing compliance efforts.
  • Users find Securiti's robust automation for privacy tasks significantly improves efficiency and compliance management.
Cons
  • Users find the complexity of Securiti's configuration and workflows challenging, requiring extensive training and expertise.
  • Users find the learning curve challenging, as mastering the extensive features requires significant time and training.
  • Users face difficulties with implementation and integration, including quick screen timeout and challenges with bulk import.
  • Users find the complexity issues of Securiti challenging, especially due to the steep learning curve of its features.
  • Users experience a significant learning difficulty with Securiti due to its complex features and workflows.

What Are Recent G2 Reviews of Securiti?

What Are G2 Users Discussing About Securiti?

D&B Connect

D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B Connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall data health. Integrations with Master Data Management Platforms, Customer Data Platforms, and CRMs enable automated data updates and anomaly detection through the identity resolution engine. MAP integrations allow for the automation of cross-channel marketing tasks on social media, email, and websites.

Average Rating: 4.1/5.0

Total Reviews: 131

How Do G2 Users Rate D&B Connect?

  • Roles Management: 8.8/10 (Category avg: 8.8/10)
  • Data Discovery: 8.5/10 (Category avg: 8.7/10)
  • Compliance Management: 8.1/10 (Category avg: 8.9/10)
  • Ease of Use: 8.5/10 (Category avg: 8.7/10)

Who Is the Company Behind D&B Connect?

  • Seller: Dun & Bradstreet
  • Company Website:
  • HQ Location: Short Hills, NJ
  • Twitter: @DunBradstreet
    22,541 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,747 employees on LinkedIn®
  • Ownership: NYSE: DNB

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 31% Small

What Do G2 Reviewers Say About D&B Connect?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of D&B Connect, enjoying seamless integration and simplified data management.
  • Users find the data accuracy of D&B Connect essential for enhancing growth and streamlining CRM integration.
  • Users value the extensive data quality in D&B Connect, enhancing record mapping and enriching CRM systems effectively.
  • Users appreciate the easy setup of D&B Connect, facilitating seamless integration and efficient data enrichment.
  • Users value the accuracy of D&B Connect, enhancing data insights and supporting compliance and growth effectively.
Cons
  • Users find limited control and tracking over data usage in D&B Connect, leading to confusion and inefficiencies.
  • Users find D&B Connect expensive, limiting access for smaller businesses due to high pricing tiers and data coverage disparities.
  • Users face a challenging learning curve with D&B Connect, making it difficult to utilize the tool effectively.
  • Users find limited functionality in D&B Connect, facing challenges with account creation and contact matching processes.
  • Users are frustrated by missing features in D&B Connect, such as incomplete data and slow reporting capabilities.

What Are Recent G2 Reviews of D&B Connect?

What Are G2 Users Discussing About D&B Connect?

IBM watsonx.governance

IBM watsonx.governance is a software designed to provide end-to-end, platform-agnostic AI governance for traditional ML, generative AI, and agentic AI across the full lifecycle. The software provides observability, policy enforcement, and compliance management capabilities by leveraging automated telemetry, reasoning trace capture, and integrated risk assessment frameworks. It automates agent behavior monitoring and compliance evaluation and reduces risk through continuous in-the-loop policy enforcement with automated block, route, and fallback controls. IBM watsonx.governance addresses AI trust and regulatory challenges by governing AI regardless of where it is built or deployed, spanning IBM Cloud, AWS, Azure, Oracle Cloud, on-premises, and hybrid environments. The software supports use cases including AI agent auditing, regulatory compliance, risk management, and responsible AI adoption across enterprise and public sector organizations.

Average Rating: 4.3/5.0

Total Reviews: 73

How Do G2 Users Rate IBM watsonx.governance?

  • Roles Management: 8.5/10 (Category avg: 8.8/10)
  • Data Discovery: 8.6/10 (Category avg: 8.7/10)
  • Compliance Management: 8.7/10 (Category avg: 8.9/10)
  • Ease of Use: 7.8/10 (Category avg: 8.7/10)

Who Is the Company Behind IBM watsonx.governance?

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

Who Uses This Product?

  • Top Industries: Information Technology and Services, Consulting
  • Company Size: 34% Large, 26% Small

What Do G2 Reviewers Say About IBM watsonx.governance?

AI-generated summary from verified user reviews

Pros
  • Users value the automated compliance tools of IBM watsonx.governance, streamlining governance and ensuring audit-ready documentation effortlessly.
  • Users find IBM watsonx.governance to be easy to use, streamlining governance and reducing manual efforts in AI management.
  • Users value the comprehensive toolkit for responsible AI governance offered by IBM watsonx.governance, enhancing transparency and compliance.
  • Users appreciate the AI Governance & Trust capabilities of IBM watsonx.governance, ensuring ethical and reliable AI deployment.
  • Users appreciate the customizable automated workflows of IBM watsonx.governance, significantly reducing manual efforts and enhancing compliance.
Cons
  • Users find the setup difficulty daunting and time-consuming, particularly when integrating with existing tools and workflows.
  • Users find IBM watsonx.governance to be expensive, making it a tough choice for smaller businesses.
  • Users find the integration issues with IBM watsonx.governance challenging, especially when connecting with non-IBM ecosystems.
  • Users find the learning curve challenging, particularly for new users, impacting their initial experience with the platform.
  • Users face complex implementation challenges due to heavy setup, integration issues, and reliance on IBM systems.

What Are Recent G2 Reviews of IBM watsonx.governance?

Domo

Domo is a software designed to help organizations turn data into actionable insights and tailored data-driven solutions. The software provides data connection, preparation, dynamic reporting, and visualization capabilities by leveraging built-in AI and automation within a single unified interface. It automates workflows and AI agent deployment and reduces the complexity of managing multiple disconnected data tools. Domo addresses business intelligence challenges by enabling both technical and non-technical users to connect diverse data sources and generate insights without requiring separate tooling. The software supports use cases including custom reporting, workflow automation, and AI agent creation for teams across mid-market and enterprise organizations.

Average Rating: 4.3/5.0

Total Reviews: 1,065

How Do G2 Users Rate Domo?

  • Roles Management: 7.9/10 (Category avg: 8.8/10)
  • Data Discovery: 6.7/10 (Category avg: 8.7/10)
  • Compliance Management: 7.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value Domo's ease of use, making it accessible for all, even those who aren't tech-savvy.
  • Users value the flexible dashboards in Domo, allowing seamless data visualization from various sources.
  • Users find Domo's intuitive design enhances data handling and decision-making, making it accessible for all skill levels.
  • Users praise Domo for its easy integrations, enabling seamless data connections and enhancing data management efficiency.
  • Users value the seamless integration capabilities of Domo, enhancing data management across various platforms and sources.
Cons
  • Users find the learning curve challenging with Domo, often requiring dedicated resources to manage updates and functionalities.
  • Users struggle with missing features in Domo, including outdated systems and limited capabilities in visualizations and connectors.
  • Users are frustrated by data management issues, including upload adjustments and poor organization of datasets in Domo.
  • Users find Domo to be expensive due to high costs associated with features and external consulting needs.
  • Users find Domo's complexity overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Egnyte

Egnyte is a software designed to help organizations manage content, secure data, and automate business processes through a single intelligent platform. The software provides cloud content management, data security, and AI-powered content intelligence capabilities by leveraging a unified architecture that combines governance and automation. It automates business workflows and reduces risk around critical data through integrated security controls and content intelligence. Egnyte addresses challenges around employee productivity and data protection by centralizing content management and enforcing data governance policies across the organization. The software supports use cases in architecture, engineering and construction, life sciences, and financial services, serving more than 22,000 customers worldwide.

Average Rating: 4.4/5.0

Total Reviews: 1,137

How Do G2 Users Rate Egnyte?

  • Roles Management: 9.3/10 (Category avg: 8.8/10)
  • Data Discovery: 9.3/10 (Category avg: 8.7/10)
  • Compliance Management: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Egnyte?

  • Seller: Egnyte
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Mountain View, CA
  • Twitter: @Egnyte
    16,127 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,305 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Project Manager, Owner
  • Top Industries: Construction, Marketing and Advertising
  • Company Size: 44% Small, 38% Medium

What Do G2 Reviewers Say About Egnyte?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Egnyte, highlighting its user-friendly interface and seamless integration with tools.
  • Users value the ease of file sharing with Egnyte, enabling smooth collaboration and secure access across teams.
  • Users value the easy sharing feature of Egnyte, enhancing collaboration for remote and in-office team members alike.
  • Users value the robust security features of Egnyte, ensuring their data is well protected and compliant.
  • Users appreciate the easy access to documents, enabling seamless sharing and collaboration with peers and subcontractors.
Cons
  • Users find Egnyte to be expensive, especially for small businesses, coupled with inflexible billing practices.
  • Users note the slow drive accessibility at startup and challenges with file locks and O365 sharing in Egnyte.
  • Users find Egnyte's limited features frustrating, particularly in bulk actions and user permission customizations.
  • Users find Egnyte's interface clunky and slow, making navigation and file management more challenging than expected.
  • Users find lacking features in Egnyte, struggling with bulk actions and unclear AI training tools.

What Are Recent G2 Reviews of Egnyte?

What Are G2 Users Discussing About Egnyte?

Atlan

Atlan è il livello di contesto per l'AI aziendale. Legge continuamente i tuoi magazzini, database, pipeline, strumenti BI e sistemi aziendali per costruire al contrario un grafo di dati aziendali che cattura asset, lineage, entità, metriche, politiche e relazioni. Su questo grafo, arricchisce e cura semantiche leggibili dalle macchine — descrizioni, join popolari, definizioni di KPI e metriche, ontologie e regole aziendali — e le organizza in repository di contesto governati e versionati: pacchetti delimitati di contesto che riflettono come la tua azienda definisce concetti chiave e prende decisioni. Questi repository di contesto sono poi esposti attraverso interfacce aperte (SQL, API, SDK, protocolli stile OSI/MCP) in modo che agenti, copiloti e applicazioni AI possano chiamare lo stesso contesto fidato in tempo reale, piuttosto che ogni team codifichi la propria logica. I flussi di lavoro di governance human-on-the-loop per la risoluzione dei conflitti, la deprecazione, il feedback e la certificazione mantengono quel contesto affidabile mentre l'azienda, i dati e i modelli evolvono.

Average Rating: 4.5/5.0

Total Reviews: 134

How Do G2 Users Rate Atlan?

  • Gestione dei Ruoli: 8.7/10 (Category avg: 8.8/10)
  • Scoperta dei dati: 9.5/10 (Category avg: 8.7/10)
  • Gestione della Conformità: 8.5/10 (Category avg: 8.9/10)
  • Facilità d'uso: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Atlan?

  • Venditore: Atlan
  • Sito web dell'azienda:
  • Anno di Fondazione: 2019
  • Sede centrale: New York, US
  • Twitter: @AtlanHQ
    9,804 follower su Twitter
  • Pagina LinkedIn®: in.linkedin.com
    558 dipendenti su LinkedIn®

Who Uses This Product?

  • Top Industries: Servizi finanziari, Tecnologia dell'informazione e servizi
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Gli utenti elogiano Atlan per la sua facilità d'uso, che consente una collaborazione fluida sui dati e rende la gestione dei dati accessibile a tutti.
  • Gli utenti apprezzano le potenti funzionalità di scoperta e collaborazione dei dati di Atlan, migliorando la qualità, la governance e l'accessibilità dei dati.
  • Gli utenti apprezzano la collaborazione senza soluzione di continuità con Atlan, migliorando la comprensione dei dati e l'efficienza del team in tutte le organizzazioni.
  • Gli utenti apprezzano le superiori capacità di catalogazione dei dati di Atlan, migliorando la scoperta dei dati e la collaborazione senza sforzo.
  • Gli utenti apprezzano la facile configurazione di Atlan, che migliora la collaborazione e semplifica i flussi di lavoro senza sforzo.
Cons
  • Gli utenti affrontano problemi di integrazione con Atlan, in particolare con Teams e configurazioni di database non nativi che richiedono configurazioni complesse.
  • Gli utenti riscontrano significativi problemi di dipendenza in Atlan, ostacolando la funzionalità e complicando gli aggiornamenti e le integrazioni automatiche.
  • Gli utenti notano la personalizzazione limitata di Atlan, desiderando maggiore flessibilità per adattarsi ai diversi flussi di lavoro del team.
  • Gli utenti sperimentano supporto tecnico lento e inesattezze nelle risoluzioni, influenzando la loro soddisfazione complessiva con Atlan.
  • Gli utenti sperimentano personalizzazione limitata e complessità tecnica nell'interfaccia utente di Atlan, rendendola impegnativa per gli utenti non tecnici.

What Are Recent G2 Reviews of Atlan?

ILUM

Ilum: Una Piattaforma Dati Creata da Ingegneri Dati, per Ingegneri Dati Ilum è una piattaforma Data Lakehouse che unifica la gestione dei dati, l'elaborazione distribuita, l'analisi e i flussi di lavoro AI per ingegneri AI, ingegneri dati, data scientist e analisti. Appartiene alle categorie di software Piattaforma Dati, Data Lakehouse e Ingegneria Dati e supporta un'implementazione flessibile su cloud, on-premise e ambienti ibridi. Ilum consente ai team tecnici di costruire, operare e scalare infrastrutture dati moderne utilizzando standard aperti. Integra strumenti per l'elaborazione batch, l'elaborazione in streaming, l'esplorazione basata su notebook, l'orchestrazione dei flussi di lavoro e l'intelligenza aziendale, tutto in un'unica piattaforma. Ilum supporta formati di tabelle aperti moderni come Delta Lake, Apache Iceberg, Apache Hudi e Apache Paimon. Offre anche un'integrazione nativa con Apache Spark e Trino per il calcolo, con il supporto per Apache Flink attualmente in sviluppo. Caratteristiche principali includono: - Editor SQL: Interroga Delta, Iceberg, Hudi o Spark SQL con completamento automatico, anteprime dei risultati e ispezione dei metadati. - Lineage & Catalogo Dati: Visualizza il flusso dei dati utilizzando OpenLineage ed esplora i dataset attraverso un catalogo dati ricercabile. - Integrazione Notebook: Usa notebook Jupyter integrati preconfigurati per Spark, metadati e il tuo ambiente dati per esplorazione o modellazione. - Gestione Job Spark: Invia, monitora e esegui il debug dei job Spark con log integrati, metriche, pianificazione e un server di cronologia Spark integrato. - Supporto Trino: Esegui query federate su più fonti di dati utilizzando Trino direttamente all'interno di Ilum. - Pipeline Dichiarative: Definisci pipeline ETL e di analisi ripetibili, con tracciamento delle dipendenze e logica di recupero. - Diagrammi ERD Automatici: Genera istantaneamente diagrammi ER da schemi per aiutare nella comprensione e onboarding dei dati. - Sperimentazione & Tracciamento ML: Include MLflow per gestire esperimenti, tracciare parametri, metriche e artefatti, completamente integrato con notebook e pipeline dati per semplificare i flussi di lavoro di sviluppo dei modelli. - Integrazione & Distribuzione AI: Supporta sia casi d'uso ML classici che AI moderni, inclusi flussi di lavoro GenAI, ricerca vettoriale e applicazioni basate su embedding. I modelli possono essere registrati, versionati e distribuiti per inferenza all'interno di pipeline dichiarative. - Interfaccia Agente AI Integrata: Ilum integra, fornendo un'interfaccia in stile GPT per interagire con i tuoi dati, attivare pipeline, generare SQL o esplorare metadati usando il linguaggio naturale, portando le capacità GenAI direttamente nella tua piattaforma dati. - Dashboard BI: Supporto nativo per Apache Superset, con integrazione JDBC per Tableau, Power BI e altri strumenti BI. Ulteriori punti salienti: - Gestione Multi-Cluster: Connetti più cluster Spark o Kubernetes per scalare e isolare i carichi di lavoro. - Controllo Accesso Granulare: Integrazione LDAP, OAuth2 e Hydra per un accesso sicuro basato su ruoli. - Pronto per l'Ibrido: Progettato per sostituire Databricks o Cloudera in ambienti dove l'adozione del cloud è parziale, regolamentata o non possibile.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Gestione dei Ruoli: 10.0/10 (Category avg: 8.8/10)
  • Scoperta dei dati: 10.0/10 (Category avg: 8.7/10)
  • Gestione della Conformità: 10.0/10 (Category avg: 8.9/10)
  • Facilità d'uso: 9.3/10 (Category avg: 8.7/10)

Who Is the Company Behind ILUM?

  • Venditore: Ilum
  • Sito web dell'azienda:
  • Anno di Fondazione: 2019
  • Sede centrale: Santa Fe, US
  • Twitter: @IlumCloud
    19 follower su Twitter
  • Pagina LinkedIn®: www.linkedin.com
    4 dipendenti su LinkedIn®

Who Uses This Product?

  • Top Industries: Telecomunicazioni
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Gli utenti apprezzano la facilità d'uso di ILUM, godendo di un'integrazione senza soluzione di continuità e un flusso di lavoro fluido per la gestione dei dati.
  • Gli utenti apprezzano l'integrazione senza soluzione di continuità di ILUM con i sistemi esistenti, migliorando l'efficienza nella gestione dei dati e nell'analisi.
  • Gli utenti apprezzano le integrazioni senza soluzione di continuità di ILUM, migliorando la gestione dei dati e l'analisi con una piattaforma unificata ed efficiente.
  • Gli utenti apprezzano la configurazione rapida e senza interruzioni di ILUM, apprezzando la facilità di integrazione e l'efficienza.
  • Gli utenti apprezzano le facili integrazioni di ILUM, che si adattano perfettamente ai sistemi esistenti senza riscritture importanti.
Cons
  • Gli utenti trovano che la configurazione complessa per le configurazioni avanzate di ILUM possa essere difficile da navigare per i nuovi arrivati.
  • Gli utenti trovano il processo di configurazione difficile di ILUM impegnativo, richiedendo un notevole sforzo e sperimentazione per ottimizzare le configurazioni.
  • Gli utenti trovano la curva di apprendimento ripida per le funzionalità avanzate in ILUM, richiedendo tempo per adattarsi e configurare le impostazioni.
  • Gli utenti notano che sono necessari miglioramenti dell'interfaccia utente per un accesso più facile alle impostazioni avanzate e alle configurazioni in ILUM.
  • Gli utenti trovano alcuni aspetti della configurazione di ILUM complessi e poco intuitivi, richiedendo uno sforzo considerevole per configurare efficacemente.

What Are Recent G2 Reviews of ILUM?

Salesforce Data 360 (formerly Data Cloud)

Salesforce Data 360 (formerly Data Cloud) is a software designed to unlock the full value of enterprise data by powering Customer 360 apps, Agentforce, and real-time intelligent action across an organization. The software provides structured and unstructured data unification, real-time insight generation, and low-code data activation capabilities by leveraging a Zero Copy architecture and deep partnerships with Amazon, Snowflake, Databricks, and Google. It automates data bridging across lakes, warehouses, and business applications and reduces the need to replace or re-platform existing data investments. Salesforce Data 360 addresses enterprise data fragmentation by acting as a smart integration layer that complements current systems while activating data seamlessly within the Salesforce ecosystem. The software supports use cases including customer personalization, AI agent enablement, and cross-platform data activation for mid-market and enterprise organizations.

Average Rating: 4.3/5.0

Total Reviews: 306

How Do G2 Users Rate Salesforce Data 360 (formerly Data Cloud)?

  • Roles Management: 8.8/10 (Category avg: 8.8/10)
  • Data Discovery: 9.0/10 (Category avg: 8.7/10)
  • Compliance Management: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 7.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Salesforce Data 360 (formerly Data Cloud)?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    83,223 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Medium, 39% Large

What Do G2 Reviewers Say About Salesforce Data 360 (formerly Data Cloud)?

AI-generated summary from verified user reviews

Pros
  • Users value the real-time platform integration of Salesforce Data 360, enhancing data connectivity and decision-making across ecosystems.
  • Users value the ease of use in Salesforce Data 360, enhancing user experience and simplifying data management.
  • Users appreciate the easy integration of Salesforce Data 360, streamlining workflows and enhancing data accessibility across teams.
  • Users value the effective data aggregation of Salesforce Data 360, unifying diverse sources into a real-time customer profile.
  • Users value the seamless integrations with various platforms, enabling unified customer profiles and enhanced audience targeting.
Cons
  • Users find the steep learning curve of Salesforce Data 360 challenging, hindering quick understanding and effective use.
  • Users find the cost burdens of Salesforce Data 360 to be high due to extensive data integration and usage demands.
  • Users experience a difficult learning curve with Salesforce Data 360, making setup and usability quite challenging.
  • Users find the implementation complexity challenging, particularly for novices, affecting overall user experience and adoption.
  • Users struggle with the complex setup of Salesforce Data 360, facing steep learning curves and extensive training needs.

What Are Recent G2 Reviews of Salesforce Data 360 (formerly Data Cloud)?

What Are G2 Users Discussing About Salesforce Data 360 (formerly Data Cloud)?

DataGalaxy

Fondata in Francia e in rapida espansione in tutta Europa e negli Stati Uniti, DataGalaxy è fidata da oltre 200 imprese globali, tra cui Dior, Airbus e SwissLife. L'azienda è impegnata a promuovere la cultura e l'alfabetizzazione dei dati aiutando le organizzazioni a fornire metadati agli agenti e valore alle persone. La piattaforma sottolinea l'importanza dei metadati, garantendo che tutte le parti interessate abbiano accesso al contesto e alle informazioni necessarie per prendere decisioni informate. La piattaforma presenta due prodotti principali: DataGalaxy Catalog e DataGalaxy Portfolio. DataGalaxy Catalog funge da repository completo di metadati, fornendo agli utenti il contesto necessario per costruire fiducia nei loro asset di dati garantendo al contempo la conformità con le normative pertinenti. Questo hub centralizzato consente alle organizzazioni di gestire i propri metadati in modo efficiente, facilitando per i team la ricerca, la comprensione e l'utilizzo dei dati per iniziative strategiche. D'altra parte, DataGalaxy Portfolio agisce come uno strumento di gestione del valore che traccia l'impatto del ROI delle iniziative di dati e AI sulle prestazioni aziendali. Consente alle organizzazioni di tracciare e dimostrare il valore creato dai loro investimenti in dati, promuovendo l'allineamento dai dirigenti di livello C fino agli stakeholder aziendali. Visualizzando i risultati dei progetti basati sui dati, DataGalaxy Portfolio aiuta le organizzazioni a dare priorità ai loro sforzi e ad allocare le risorse in modo efficace, garantendo che le iniziative sui dati siano allineate con gli obiettivi aziendali. Rivolta alle imprese che cercano di migliorare le loro pratiche di governance e gestione dei dati, DataGalaxy è particolarmente vantaggiosa per le organizzazioni che operano in ambienti complessi dove i dati sono abbondanti ma sottoutilizzati. Integrando la governance dei dati con la strategia aziendale, DataGalaxy si distingue nella sua categoria come una soluzione che non solo affronta gli aspetti tecnici della gestione dei dati, ma sottolinea anche l'elemento umano dell'utilizzo dei dati. Questo approccio olistico garantisce che le organizzazioni possano massimizzare il valore dei loro asset di dati promuovendo la collaborazione tra i team, portando infine a migliori risultati aziendali.

Average Rating: 4.8/5.0

Total Reviews: 63

How Do G2 Users Rate DataGalaxy?

  • Gestione dei Ruoli: 8.7/10 (Category avg: 8.8/10)
  • Scoperta dei dati: 9.3/10 (Category avg: 8.7/10)
  • Gestione della Conformità: 9.1/10 (Category avg: 8.9/10)
  • Facilità d'uso: 9.5/10 (Category avg: 8.7/10)

Who Is the Company Behind DataGalaxy?

  • Venditore: DataGalaxy
  • Sito web dell'azienda:
  • Anno di Fondazione: 2015
  • Sede centrale: Lyon, Rhone-Alpes
  • Twitter: @DataGalaxy
    864 follower su Twitter
  • Pagina LinkedIn®: www.linkedin.com
    97 dipendenti su LinkedIn®

Who Uses This Product?

  • Top Industries: Assicurazioni, Bancario
  • Company Size: 54% Large, 43% Medium

What Do G2 Reviewers Say About DataGalaxy?

AI-generated summary from verified user reviews

Pros
  • Gli utenti apprezzano la facilità d'uso di DataGalaxy, evidenziando la sua interfaccia intuitiva e l'integrazione semplice.
  • Gli utenti apprezzano le caratteristiche dello strumento collaborativo di DataGalaxy, che consente un lavoro di squadra senza interruzioni e un'integrazione tra le funzioni aziendali.
  • Gli utenti apprezzano le capacità di facile integrazione di DataGalaxy, rendendolo una parte fondamentale della loro infrastruttura dati.
  • Gli utenti elogiano l'interfaccia facile da usare di DataGalaxy, migliorando la loro esperienza e facilitando la visualizzazione dei dati.
  • Gli utenti apprezzano la facile accessibilità di DataGalaxy, che consente a tutti i dipendenti con un'email aziendale di utilizzare lo strumento.
Cons
  • Gli utenti trovano l'interfaccia utente non intuitiva e cercano miglioramenti nella funzionalità e nell'usabilità in tutto il sistema.
  • Gli utenti trovano che la funzionalità limitata di DataGalaxy ostacoli l'usabilità, cercando miglioramenti nelle capacità di gestione e nella facilità d'uso delle API.
  • Gli utenti trovano l'interfaccia utente poco intuitiva e hanno difficoltà con funzioni immature e connettori di importazione dei metadati.
  • Gli utenti affrontano sfide con problemi di connettività, rendendo l'importazione dei metadati difficile e frustrante in DataGalaxy.
  • Gli utenti trovano l'interfaccia difficile di DataGalaxy non intuitiva, influenzando l'usabilità e la coesione delle funzioni.

What Are Recent G2 Reviews of DataGalaxy?

SAP Master Data Governance (MDG)

SAP Master Data Governance (MDG) is a software designed to facilitate the centralized or decentralized management of master data across an enterprise system landscape. The software provides data validation, quality checks, and governance framework capabilities by leveraging tight integration with existing SAP data models, business logic, and validation frameworks. It automates master data creation, modification, and distribution workflows and reduces data redundancy and errors through standardized quality controls. SAP Master Data Governance (MDG) addresses data consistency and compliance challenges by providing a unified view of customer, vendor, and product data while supporting open integration with third-party systems. The software supports use cases including master data consolidation, regulatory compliance, and cross-departmental data governance for industries such as finance, manufacturing, and retail.

Average Rating: 4.4/5.0

Total Reviews: 242

How Do G2 Users Rate SAP Master Data Governance (MDG)?

  • Roles Management: 8.8/10 (Category avg: 8.8/10)
  • Data Discovery: 9.1/10 (Category avg: 8.7/10)
  • Compliance Management: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.6/10 (Category avg: 8.7/10)

Who Is the Company Behind SAP Master Data Governance (MDG)?

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

Who Uses This Product?

  • Who Uses This: Consultant, SAP MDG Consultant
  • Top Industries: Information Technology and Services, Pharmaceuticals
  • Company Size: 55% Large, 33% Medium

What Do G2 Reviewers Say About SAP Master Data Governance (MDG)?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAP MDG, simplifying master data governance with smooth, customizable workflows.
  • Users appreciate the single, trusted source of master data in SAP MDG, enhancing data quality and compliance across the organization.
  • Users value the effective centralization and streamlining of master data management offered by SAP MDG, enhancing operational efficiency.
  • Users value the data accuracy of SAP MDG, which enhances compliance and enforces consistent data standards across systems.
  • Users appreciate the seamless data integration of SAP MDG, enabling a reliable and consistent master data environment.
Cons
  • Users find the complex setup of SAP MDG challenging and time-consuming, requiring significant customization for proper implementation.
  • Users find the implementation complex and time-consuming, especially when customizing for unique business requirements and processes.
  • Users highlight data management issues with SAP MDG, citing risks of data manipulation and integration challenges.
  • Users find SAP MDG expensive, especially for a simple solution compared to other alternatives on the market.
  • Users find the setup and configuration complex, often facing delays and requiring extensive IT and business coordination.

What Are Recent G2 Reviews of SAP Master Data Governance (MDG)?

What Are G2 Users Discussing About SAP Master Data Governance (MDG)?