Best Enterprise Data Governance Tools

How Many Data Governance Tools Products Does G2 Track?

Total Products under this Category: 241

Category Stats (Sep 2026)

  • Average Rating: 4.45/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+2.77%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Data Governance Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,800+ Authentic Reviews
  • 241+ 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, Data 360 (formerly Salesforce Data Cloud), Varonis Data Security Platform, AvePoint Confidence Platform, IBM watsonx.data, 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=data-360-formerly-salesforce-data-cloud&focus%5B%5D=varonis-data-security-platform&focus%5B%5D=avepoint-confidence-platform&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=securiti&focus%5B%5D=ibm-watsonx-governance&segment=enterprise)

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: 1,336

How Do G2 Users Rate Databricks?

  • Roles Management: 8.9/10 (Category avg: 8.8/10)
  • Data Discovery: 8.7/10 (Category avg: 8.8/10)
  • 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
    14,336 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 enjoy the ease of use and extensive features of Databricks, streamlining data warehousing and machine learning tasks.
  • Users appreciate the ease of use of Databricks, enhancing their experience with its intuitive interface and efficient features.
  • Users value the seamless integrations with AWS services that enhance efficiency and support diverse business needs.
  • Users value the seamless collaboration provided by Databricks, enhancing teamwork on data projects and insights sharing.
  • Users value the wide array of integrated analytical features in Databricks, enhancing efficiency and collaboration in data projects.
Cons
  • Users face a steep learning curve with Databricks, as its complexity can be confusing for newcomers.
  • Users note that the cost of Databricks can be quite high, particularly for large data projects and limited free options.
  • Users find the steep learning curve of Databricks challenging, particularly for those unfamiliar with big data tools.
  • Users find the complexity of Databricks challenging, especially during initial setup and navigation of advanced features.
  • Users encounter complex setup challenges with Databricks initially, but support helps resolve issues quickly.

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: 4.6/5.0

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: 8.8/10)
  • 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
    12,574 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, 42% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, which simplifies data sharing and enhances productivity across teams.
  • Users value the reliable features and user-friendly interface of Snowflake, enhancing data management and analytics efficiency.
  • Users appreciate the ease of use and efficient data integration in Snowflake for their warehousing projects.
  • Users value the seamless scalability of Snowflake, enabling efficient handling of large datasets and workload changes without performance loss.
  • Users value the fast and efficient data processing capabilities of Snowflake, enhancing their analysis experience significantly.
Cons
  • Users highlight the high costs of Snowflake, making it less accessible for smaller businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and restricted permissions, frustrating.
  • Users find the learning curve steep, requiring training due to its complexity and overwhelming interface for beginners.
  • Users often struggle with high costs due to unoptimized queries and inadequate cost control measures in Snowflake.
  • Users find the cost structure challenging, requiring time to optimize for efficient use of Snowflake.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Data 360 (formerly Salesforce 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: 4.2/5.0

Total Reviews: 706

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

  • Roles Management: 8.8/10 (Category avg: 8.8/10)
  • Data Discovery: 9.0/10 (Category avg: 8.8/10)
  • Compliance Management: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 7.6/10 (Category avg: 8.7/10)

Who Is the Company Behind Data 360 (formerly Salesforce 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
    89,711 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Developer, Salesforce Administrator
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 40% Medium, 35% Large

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

AI-generated summary from verified user reviews

Pros
  • Users value the real-time platform integration of Salesforce Data 360, enhancing personalization and driving smarter decisions.
  • Users value the ease of use of Salesforce Data Cloud, enjoying time savings and streamlined data access.
  • Users value the easy integration of Salesforce Data 360, facilitating seamless data unification and enhanced reporting capabilities.
  • Users value the efficient data aggregation in Salesforce Data 360, enhancing insights and unified customer profiling.
  • Users value the seamless integrations of Salesforce Data 360, enhancing real-time data access and unified customer profiles.
Cons
  • Users find the learning curve steep for Salesforce Data Cloud, requiring significant support for setup and maintenance.
  • Users find Salesforce Data 360 to be expensive, facing challenges with unpredictable costs and a steep learning curve.
  • Users face a difficult learning curve with Salesforce Data 360, finding the setup and terminology quite challenging.
  • Users find the initial setup complex, facing a steep learning curve and challenges in configuration and data management.
  • Users face a complex setup, with a steep learning curve that complicates the initial experience and usability.

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

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

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: 8.8/10)
  • 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
    2,834 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 Varonis provides into sensitive data, enhancing proactive security measures and alerting features.
  • Users value the clear visibility and proactive protection of Varonis, simplifying compliance and minimizing risk effectively.
  • Users value the complete visibility Varonis provides into sensitive data, enhancing proactive threat detection and data protection.
  • Users appreciate the complete visibility and robust data protection Varonis provides, enhancing cybersecurity and compliance efforts.
  • Users value the user-friendly management features of Varonis, making cybersecurity navigation and implementation seamless.
Cons
  • Users report that the complexity of setup and management can overwhelm teams, especially in smaller organizations.
  • Users face a challenging learning curve during initial setup, requiring time to grasp the platform's numerous features.
  • Users find the learning difficulty of Varonis challenging, requiring considerable time to master its numerous features.
  • Users often find the cost to be prohibitively high, particularly for smaller and mid-market organizations.
  • Users note that the initial setup is complex and requires substantial time and effort to manage effectively.

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: 169

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How Do G2 Users Rate IBM watsonx.data?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 8.6/10 (Category avg: 8.8/10)
  • 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
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Software Developer
  • Top Industries: Computer Software, Information Technology and Services
  • 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.
  • Users value the seamless data integration and user-friendly interface of IBM watsonx.data for efficient analytics.
  • Users appreciate the organized and efficient data management of IBM watsonx.data, simplifying analytics and enhancing team collaboration.
  • Users value the seamless data source integration of IBM watsonx.data, enhancing efficiency and flexibility in their workflows.
  • Users appreciate the flexible analytics capabilities of IBM watsonx.data, enabling faster insights from diverse data sources.
Cons
  • Users find the steep learning curve of IBM watsonx.data challenging, hindering easy adoption for newcomers.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers and small teams.
  • Users find the pricing steep for IBM watsonx.data, especially for smaller businesses with limited resources.
  • Users find the difficult setup process time-consuming, with a steep learning curve and extensive documentation review required.
  • Users find performance tuning difficult with IBM watsonx.data, especially for beginners and teams with limited IT resources.

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: 123

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
    2,778 employees on LinkedIn®

Who Uses This Product?

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

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 enhances implementation and administration, ensuring a smooth experience.
  • Users value the ease of use and comprehensive cloud backup features of AvePoint Confidence Platform for Microsoft 365.
  • Users value the flexible backup frequency of AvePoint Confidence Platform, making data management effortless and efficient.
  • Users appreciate the integrated data protection and security of AvePoint Confidence Platform, simplifying SaaS management and compliance.
  • Users appreciate the easy setup of AvePoint Confidence Platform, simplifying implementation and administration significantly.
Cons
  • Users find the AvePoint Confidence Platform expensive with high initial costs and limited budget-friendly options for longer use.
  • Users experience backup issues with inconsistent data restoration and infrequent support, leading to frustration and inefficiency.
  • Users experience poor customer support from AvePoint, facing delayed responses and issues with call connectivity.
  • Users face slow performance issues, particularly with data retrieval speed, affecting overall efficiency and user experience.
  • Users report technical issues with backup completions and lack of timely notifications for errors and expiring accounts.

What Are Recent G2 Reviews of AvePoint Confidence Platform?

What Are G2 Users Discussing About AvePoint Confidence Platform?

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: 8.8/10)
  • 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: Jacksonville, FL
  • Twitter: @DunBradstreet
    22,541 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5,735 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 find D&B Connect to be very easy to use, maximizing efficiency in data qualification and marketing research.
  • Users value the data accuracy of D&B Connect, enhancing their data quality efforts and supporting company growth.
  • Users value the comprehensive data quality features of D&B Connect, enhancing their data management efforts significantly.
  • Users value the accuracy of D&B Connect, enhancing credibility and supporting precise risk assessments in business operations.
  • Users value the comprehensive B2B data coverage of D&B Connect, enhancing their data management and insights collection.
Cons
  • Users find limited functionality in D&B Connect, struggling with credit tracking, contact matching, and data input controls.
  • Users report a challenging learning curve with D&B Connect, indicating the need for additional training to use effectively.
  • Users feel that D&B Connect is expensive, primarily benefiting larger enterprises while posing challenges for smaller businesses.
  • Users find limited functionality in D&B Connect, struggling with account creation and tracking of contact information.
  • Users are frustrated by the outdated data that delays updates and limits access to essential firmographic fields.

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: 79

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: 8.8/10)
  • 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
    344,328 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Consulting
  • Company Size: 31% Large, 30% Small

What Do G2 Reviewers Say About IBM watsonx.governance?

AI-generated summary from verified user reviews

Pros
  • Users value the automated compliance management of IBM watsonx.governance, simplifying AI model documentation and monitoring.
  • Users value the AI Governance & Trust capabilities of IBM watsonx.governance, ensuring reliable and ethical AI deployment.
  • Users appreciate the customizable automated workflows of IBM watsonx.governance, greatly reducing manual efforts and enhancing compliance.
  • Users value the ease of use of IBM watsonx.governance, simplifying data management and compliance for AI projects.
  • Users appreciate the comprehensive toolkit of IBM watsonx.governance for managing AI governance and compliance effectively.
Cons
  • Users find the setup difficulty challenging and time-consuming, especially with integration into existing workflows.
  • Users find IBM watsonx.governance expensive, significantly impacting affordability for small businesses considering its purchase.
  • Users often face integration challenges with IBM watsonx.governance, leading to a complex and frustrating setup experience.
  • Users find the complex implementation of IBM watsonx.governance challenging, particularly for non-technical stakeholders and external systems.
  • Users face a steep learning curve with IBM watsonx.governance, particularly novices adapting to its complex setup and configuration.

What Are Recent G2 Reviews of IBM watsonx.governance?

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: 110

How Do G2 Users Rate Securiti?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.1/10 (Category avg: 8.8/10)
  • 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
    7,515 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Banking
  • Company Size: 59% Large, 21% Medium

What Do G2 Reviewers Say About Securiti?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Securiti, benefiting from its straightforward setup and intuitive interface.
  • Users commend the professional and responsive customer support of Securiti, enhancing their overall experience with the tool.
  • Users praise Securiti for its user-friendly interface and innovative features that streamline privacy management seamlessly.
  • Users value the responsive and helpful support from Securiti, enhancing collaboration and operational efficiency.
  • Users appreciate Securiti's robust automation for privacy tasks, enhancing efficiency and ensuring compliance effortlessly.
Cons
  • Users report that Securiti's complexity can lead to challenging configurations and a steep learning curve for effective use.
  • Users face a steep learning curve with Securiti, requiring significant training to navigate its complex features effectively.
  • Users find the implementation issues of Securiti time-consuming and complex, requiring significant expertise and coordination.
  • Users find the complexity issues of Securiti can complicate implementation and require significant expertise.
  • Users find the learning difficulty of Securiti frustrating, requiring extensive training to fully utilize its features.

What Are Recent G2 Reviews of Securiti?

What Are G2 Users Discussing About Securiti?

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: 1,074

How Do G2 Users Rate Domo?

  • Roles Management: 7.9/10 (Category avg: 8.8/10)
  • Data Discovery: 6.7/10 (Category avg: 8.8/10)
  • 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 find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

ILUM

Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible.

Average Rating: 4.9/5.0

Total Reviews: 23

How Do G2 Users Rate ILUM?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Data Discovery: 10.0/10 (Category avg: 8.8/10)
  • Compliance Management: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.3/10 (Category avg: 8.7/10)

Who Is the Company Behind ILUM?

  • Seller: Ilum
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

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: 1,140

How Do G2 Users Rate Egnyte?

  • Roles Management: 9.3/10 (Category avg: 8.8/10)
  • Data Discovery: 9.3/10 (Category avg: 8.8/10)
  • 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
    1,309 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 find Egnyte to be user-friendly and easy to navigate, enhancing their overall experience and efficiency.
  • Users love the easy file sharing capabilities of Egnyte, enhancing collaboration and workflow efficiency from anywhere.
  • Users appreciate the easy sharing capabilities of Egnyte, enhancing collaboration across departments with secure file access.
  • Users enjoy the easy access to files anywhere, ensuring productivity with a secure and reliable platform.
  • Users commend Egnyte for its high security, ensuring data safety while navigating and finding files easily.
Cons
  • Users find Egnyte expensive, especially when storage needs exceed small business plan limits without clear ROI.
  • Users experience file saving failures, timeouts, and duplication issues, which detracts from their overall experience with Egnyte.
  • Users find user difficulty with Egnyte, especially on mobile, complicating the overall experience and feature accessibility.
  • Users find Egnyte lacking features like clear visibility on team documents and effective handling of file sharing tasks.
  • Users are disappointed by the missing features in Egnyte, especially for 3D file support and collaboration.

What Are Recent G2 Reviews of Egnyte?

What Are G2 Users Discussing About Egnyte?

Atlan

Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve.

Average Rating: 4.5/5.0

Total Reviews: 134

How Do G2 Users Rate Atlan?

  • Roles Management: 8.7/10 (Category avg: 8.8/10)
  • Data Discovery: 9.5/10 (Category avg: 8.8/10)
  • Compliance Management: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's intuitive user interface and seamless integration, enhancing collaboration and administrative efficiency.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value the lineage feature of Atlan for its ability to seamlessly integrate and reveal data dependencies.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users find the learning curve steep with Atlan, requiring time to fully leverage its extensive features.
  • Users note limited functionality in Atlan, particularly with AI capabilities and integration options across teams and tools.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.
  • Users find the difficult learning curve with Atlan challenging, particularly due to its many features and configurations.
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.

What Are Recent G2 Reviews of Atlan?

Alation

Alation is the creator of AIOS™, the open, governed, self-improving intelligence operating system for enterprises that cannot afford to get AI wrong. Having pioneered the data catalog market, Alation helps organizations establish trust in the agents, data, and context that power AI-driven decisions. The result is AI organizations can trust—enabling them to navigate regulatory complexity, maintain data fidelity, accelerate operational outcomes, and transform AI ambition into trusted business impact. Alation partners with the world’s leading to leverage better data to solve their most critical challenges.

Average Rating: 4.4/5.0

Total Reviews: 94

How Do G2 Users Rate Alation?

  • Roles Management: 7.7/10 (Category avg: 8.8/10)
  • Data Discovery: 8.5/10 (Category avg: 8.8/10)
  • Compliance Management: 7.6/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Alation?

  • Seller: Alation
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Redwood City, CA
  • Twitter: @Alation
    3,567 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    576 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 58% Large, 28% Medium

What Do G2 Reviewers Say About Alation?

AI-generated summary from verified user reviews

Pros
  • Users praise Alation for its ease of use, facilitating data exploration and enhancing overall efficiency in data management.
  • Users value the flexible data discovery features of Alation, enhancing governance and improving data interpretation.
  • Users appreciate the intuitive navigation of Alation, making information retrieval quick and enhancing productivity significantly.
  • Users find Alation's data cataloging features invaluable for efficient data exploration and enhanced trust in data quality.
  • Users appreciate the intuitive user interface of Alation, making navigation and information retrieval remarkably efficient.
Cons
  • Users report slow performance when integrating multiple data sources and loading larger datasets, impacting overall efficiency.
  • Users feel Alation lacks mature AI features and faces issues with data profiling and inconsistent lineage analytics.
  • Users note the limited functionality of Alation, particularly with the restricted features in non-enterprise licenses.
  • Users face significant lineage limitations, including bugs and inconsistencies that hinder effective data management across systems.
  • Users experience user interface issues with Alation, particularly slow navigation and a less intuitive design for newcomers.

What Are Recent G2 Reviews of Alation?

What Are G2 Users Discussing About Alation?

DataGalaxy

Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The platform emphasizes the importance of metadata, ensuring that all stakeholders have access to the necessary context and information to make informed decisions. The platform features two primary products: DataGalaxy Catalog and DataGalaxy Portfolio. DataGalaxy Catalog serves as a comprehensive metadata repository, providing users with the context needed to build trust in their data assets while ensuring compliance with relevant regulations. This centralized hub allows organizations to manage their metadata efficiently, making it easier for teams to find, understand, and leverage data for strategic initiatives. On the other hand, DataGalaxy Portfolio acts as a value management tool that tracks the ROI impact of data and AI initiatives on business performance. It enables organizations to track and demonstrate the value created from their data investments, fostering alignment from C-level executives all the way through to business stakeholders. By visualizing the outcomes of data-driven projects, DataGalaxy Portfolio helps organizations prioritize their efforts and allocate resources effectively, ensuring that data initiatives are aligned with business objectives. Targeted towards enterprises looking to enhance their data governance and management practices, DataGalaxy is particularly beneficial for organizations operating in complex environments where data is abundant but underutilized. By integrating data governance with business strategy, DataGalaxy stands out in its category as a solution that not only addresses the technical aspects of data management but also emphasizes the human element of data utilization. This holistic approach ensures that organizations can maximize the value of their data assets while fostering collaboration across teams, ultimately driving better business outcomes.

Average Rating: 4.8/5.0

Total Reviews: 63

How Do G2 Users Rate DataGalaxy?

  • Roles Management: 8.7/10 (Category avg: 8.8/10)
  • Data Discovery: 9.3/10 (Category avg: 8.8/10)
  • Compliance Management: 9.1/10 (Category avg: 8.9/10)
  • Ease of Use: 9.5/10 (Category avg: 8.7/10)

Who Is the Company Behind DataGalaxy?

  • Seller: DataGalaxy
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Lyon, Rhone-Alpes
  • Twitter: @DataGalaxy
    864 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    96 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Insurance, Banking
  • Company Size: 54% Large, 43% Medium

What Do G2 Reviewers Say About DataGalaxy?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of DataGalaxy, finding it simple to implement and customize for various profiles.
  • Users value the easy integration of DataGalaxy with primary data tools, enhancing their data infrastructure effortlessly.
  • Users commend the user-friendly interface of DataGalaxy, enhancing their ability to visualize complex data lineages easily.
  • Users appreciate the seamless collaboration in DataGalaxy, enabling effective teamwork and unified data management across teams.
  • Users value the automation features of DataGalaxy, enhancing efficiency and simplifying metadata management across their organization.
Cons
  • Users note limited functionality in DataGalaxy, citing the need for better management capabilities and usability improvements.
  • Users find the user interface not intuitive and seek improvements for better functionality and usability.
  • Users find the missing features of DataGalaxy, especially in automation and policy management, limiting their experience.
  • Users point out the product immaturity of DataGalaxy, noting its interface and functions need further development.
  • Users find the interface not intuitive and face challenges with unrefined functions and metadata import connectors.

What Are Recent G2 Reviews of DataGalaxy?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated