Best Active Metadata Management Software - Page 2

How Many Active Metadata Management Software Products Does G2 Track?

Total Products under this Category: 68

Category Stats (Nov 2026)

  • Average Rating: 4.5/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: OpenMetadata (+2.27%) - Among all products in this category, OpenMetadata recorded the largest rating increase compared to last month

Last updated: November 05, 2026

How Does G2 Rank Active Metadata Management Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,000+ Authentic Reviews
  • 68+ 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 Active Metadata Management Software

G2 Grid® for Active Metadata Management Software plotting products by satisfaction and market presence

Highlighted products: Atlan, Alation, erwin Data Modeler, Coalesce, Collate, Collibra, ServiceNow Workflow Data Fabric, and Cloudera.

Underlying data: [Grid® JSON](https://www.g2.com/categories/active-metadata-management/grids.json?focus%5B%5D=atlan&focus%5B%5D=alation&focus%5B%5D=quest-software-erwin-data-modeler&focus%5B%5D=coalesce-coalesce&focus%5B%5D=collate-collate&focus%5B%5D=collibra&focus%5B%5D=servicenow-workflow-data-fabric&focus%5B%5D=cloudera)

ER/Studio

What is ER/Studio? ER/Studio is an enterprise data modeling platform that helps organizations design, manage, and govern data assets across complex environments. It connects business requirements to technical implementation through conceptual, logical, and physical models, creating a single source of truth for enterprise data. Design and Collaborate Design data models and keep teams aligned with ER/Studio’s multi-user shared repository and web-based portal, Team Server. The centralized repository supports version control, role-based access, and parallel development so multiple modelers can work simultaneously while maintaining a complete change history. Team Server extends collaboration beyond architects by providing browser-based access for business and technical stakeholders to explore models, review definitions, and participate in discussions. Build, version, and review models on premises or across cloud-based platforms like Snowflake, Databricks, Azure Synapse, and Oracle to maintain accuracy, consistency, and visibility throughout your data ecosystem. Govern and Standardize Drive trusted analytics with standardized data definitions and integrated governance. ER/Studio connects business glossaries and data dictionaries while syncing seamlessly with Microsoft Purview and Collibra, ensuring consistent terminology, clear documentation, and enterprise-wide compliance from model creation to delivery. Accelerate with AI ER/Studio includes ERbert, an AI Data Modeling Assistant that converts plain-language business requests into structured data models. This feature saves time, reduces manual effort, and helps teams deliver faster. Why Organizations Choose ER/Studio - Intuitive interface preferred by data architects - Unified modeling environment for all major database platforms - Seamless collaboration between technical and business users - Enterprise-scale architecture for standardization and governance - Integrated AI and metadata management for faster delivery ER/Studio empowers enterprise data teams to build trusted, well-governed data architectures that accelerate analytics, reduce risk, and improve organizational understanding of data.

Average Rating: 4.2/5.0

Total Reviews: 22

How Do G2 Users Rate ER/Studio?

  • Ease of Use: 9.1/10 (Category avg: 8.8/10)
  • Metadata Management: 8.3/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind ER/Studio?

  • Seller: Idera, Inc.
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Austin, US
  • LinkedIn® Page: www.linkedin.com
    285 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 50% Large, 25% Medium

What Do G2 Reviewers Say About ER/Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive user interface of ER/Studio, which simplifies database model creation and management.
  • Users find ER/Studio to have a user-friendly interface, making it easy to create and manage database models.
  • Users appreciate the powerful features of ER/Studio, enabling easy database design and seamless collaboration.
  • Users appreciate the ease of collaboration with ER/Studio, enhancing productivity in complex database design processes.
  • Users commend the excellent customer support of ER/Studio, enhancing their overall experience with the tool.
Cons
  • Users find the dashboard overwhelming for beginners, making it challenging to navigate and utilize effectively.
  • Users find the dashboard overwhelming for beginners, making initial navigation challenging and confusing.
  • Users find the limited database support of ER/Studio frustrating, especially as the trend shifts towards cloud-based solutions.
  • Users find the outdated design of ER/Studio limiting, as it remains client/server based in a cloud-focused world.
  • Users find the dashboard overwhelming for beginners, making it challenging to navigate and use effectively.

What Are Recent G2 Reviews of ER/Studio?

What Are G2 Users Discussing About ER/Studio?

IBM watsonx.data intelligence

IBM watsonx.data intelligence revolutionizes the way organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.data intelligence is a comprehensive solution that integrates capabilities such as data governance (formerly IBM Knowledge Catalog), data lineage (formerly IBM Manta Data Lineage), data sharing, and data quality management. It empowers organizations to discover, trust, and access meaningful data, providing consumers with reliable data products. Explore Demo Library - https://www.ibm.com/products/watsonx-data-intelligence/demo-library Start your free trial - https://dataplatform.cloud.ibm.com/registration/stepone?context=df&apps=all&uucid=1227cc9e37cb9292&preselect_region=true

Average Rating: 4.2/5.0

Total Reviews: 24

How Do G2 Users Rate IBM watsonx.data intelligence?

  • Ease of Use: 8.4/10 (Category avg: 8.8/10)
  • Metadata Management: 8.3/10 (Category avg: 9.0/10)
  • Data Discovery: 8.9/10 (Category avg: 8.9/10)
  • Automation Features: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM watsonx.data intelligence?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Company Size: 38% Small, 34% Large

What Do G2 Reviewers Say About IBM watsonx.data intelligence?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automation features of IBM watsonx.data intelligence, enhancing understanding of data flow and mitigating risks.
  • Users appreciate the easy visualization of data flows with IBM Manta, enhancing data governance and insights.
  • Users value the easy visualization of data flows with IBM Watsonx.data intelligence, enhancing data governance and insight generation.
  • Users value the ease of use of IBM Watsonx.data intelligence, facilitating seamless data understanding and governance.
  • Users appreciate the efficiency of IBM watsonx.data intelligence, streamlining data processes and enhancing decision-making capabilities.
Cons
  • Users find the complex implementation of IBM watsonx.data intelligence challenging, often needing specialized expertise for setup.
  • Users find the setup complexity of IBM watsonx.data intelligence requires specialized expertise, making implementation challenging.
  • Users find IBM watsonx.data intelligence expensive, with high implementation costs and ongoing financial commitments.
  • Users note that specialized expertise is required for proper implementation, adding to the complexity of setup.
  • Users find the extra costs of IBM watsonx.data intelligence can be significant, making it less accessible for some.

What Are Recent G2 Reviews of IBM watsonx.data intelligence?

Cluedin

CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no longer need to spend time manually modeling, mapping and integrating their data, allowing the natural data model to emerge and evolve with your business. Not only does this save time and money, it also means that the quality of your data can improve by up to 50% in as little as six weeks. Our system integrates with over 27 Microsoft Azure Data and Analytics Services, including Purview and the Fabric suite. We were also the first MDM vendor to integrate with Azure OpenAI and to launch our own AI Assistant. With CluedIn, integrate data 60% faster, validate and deduplicate data 50% quicker, and raise analytics accuracy by 25%.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Cluedin?

  • Ease of Use: 7.9/10 (Category avg: 8.8/10)
  • Metadata Management: 8.3/10 (Category avg: 9.0/10)
  • Data Discovery: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Cluedin?

  • Seller: CluedIn
  • Year Founded: 2015
  • HQ Location: Copenhagen, Copenhagen
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Do G2 Reviewers Say About Cluedin?

AI-generated summary from verified user reviews

Pros
  • Users value the user-friendly AI features of Cluedin, making data management accessible for non-technical users.
  • Users appreciate the excellent customer support provided by Cluedin, making integration and use effortless.
  • Users find the easy setup of Cluedin helpful for quickly importing and managing data with minimal hassle.
Cons
  • Users find that the learning curve can be steep, as mastering terminology requires time and effort.

What Are Recent G2 Reviews of Cluedin?

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DataHub

DataHub is an event-driven AI and Data Context Platform designed to unify discovery, governance, and observability across an organization’s entire data estate. Unlike traditional data catalogs, DataHub Cloud offers real-time updates, automatic policy enforcement, and seamless integration with over 100 data sources. This ensures that organizations can maintain data quality, compliance, and AI-readiness at scale, addressing the complexities of modern data management. Targeted at data teams, governance professionals, and AI practitioners, DataHub serves a diverse audience that includes data engineers, analysts, data stewards, and compliance officers. The platform is particularly beneficial for organizations that require a centralized source of truth for all metadata across various environments, such as data warehouses, lakes, business intelligence platforms, machine learning systems, and AI agents. By consolidating data management processes, DataHub enhances collaboration and efficiency within data teams, enabling them to work more effectively. One of the standout features of DataHub is its automated data lineage tracking, which operates down to the column level. This capability allows teams to quickly assess the impact of any upstream changes, facilitating faster debugging of quality issues and helping to avert costly incidents before they escalate to production. Additionally, the platform employs AI-powered functionalities to manage repetitive tasks associated with metadata, such as documentation generation, intelligent glossary classification, and sensitive data tagging. This automation empowers data professionals to concentrate on higher-value activities, thereby increasing overall productivity. For data governance and compliance teams, DataHub offers robust tools for continuous policy enforcement, role-based access controls, and personally identifiable information (PII) detection. The platform is designed to support regulatory standards such as GDPR, HIPAA, and PCI, all while minimizing manual oversight. This ensures that organizations can maintain compliance without the burden of extensive manual processes. Furthermore, for AI and ML teams, DataHub provides the reliable data context essential for developing trustworthy AI agents and models, fostering innovation and improving outcomes. With backing from prominent investors like Bessemer Venture Partners, LinkedIn, and 8VC, DataHub has gained the trust of leading organizations, including Netflix, Visa, Slack, and Pinterest. This widespread adoption underscores the platform's effectiveness in transforming data operations and enhancing the overall data management landscape. For more information, visit datahub.com.

Average Rating: 4.4/5.0

Total Reviews: 8

How Do G2 Users Rate DataHub?

  • Ease of Use: 8.5/10 (Category avg: 8.8/10)

Who Is the Company Behind DataHub?

  • Seller: DataHub
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, California
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 63% Medium, 25% Large

What Do G2 Reviewers Say About DataHub?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of DataHub, finding it effective for organizing and sharing data effortlessly.
  • Users value the seamless connectivity of DataHub, connecting effortlessly to a wide range of third-party tools.
  • Users value the ease of use and free access of DataHub as an open source data catalog tool.
  • Users commend the accuracy of DataHub, effectively solving complex data lineage issues with ease and reliability.
  • Users value the affordable open-source nature of DataHub, allowing easy access and integration without costs.
Cons
  • Users face integration issues with DataHub, struggling with the lack of support for DBT and data quality tests.
  • Users experience dependency issues with DataHub, requiring significant effort from data owners for effective utilization.
  • Users find the interface difficult and clunky, making it challenging to navigate and utilize effectively.
  • Users note a lack of features in DataHub, particularly the absence of data quality test integrations.
  • Users experience slow performance with large datasets, making data management more cumbersome than anticipated.

What Are Recent G2 Reviews of DataHub?

Dawiso

Dawiso is the data catalog and AI context layer that makes enterprise AI accurate, trustworthy, and grounded in what your business actually means. Think of it as your organization's shared source of meaning. Dawiso automatically reads across your existing data stack, warehouses, pipelines, BI tools, and files, and captures what each asset is, what it is called in plain business language, how pieces connect, and where they flow, into one governed, living map of data assets, their relationships, lineage, and definitions. People can search that map like a search engine; AI agents can read it directly over the Model Context Protocol. Dawiso spans structured and unstructured data, links to more than 40 platforms, and fits a data engineer as naturally as someone in sales or finance. Modern, affordable, flexible, and quick to deploy, backed by hands-on support, it is used by companies of every size to make AI reliable, and to end the argument over whose figures are right.

Average Rating: 4.7/5.0

Total Reviews: 13

How Do G2 Users Rate Dawiso?

  • Ease of Use: 9.4/10 (Category avg: 8.8/10)
  • Metadata Management: 9.0/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)
  • Automation Features: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Dawiso?

  • Seller: Dawiso
  • Year Founded: 2019
  • HQ Location: Prague 1, Prague
  • LinkedIn® Page: www.linkedin.com
    37 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 38% Medium, 31% Large

What Do G2 Reviewers Say About Dawiso?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Dawiso, appreciating its intuitive interface and streamlined tools for efficiency.
  • Users love the clean and intuitive interface of Dawiso, enhancing their organization and management efficiency.
  • Users praise Dawiso for its intuitive interface, making navigation and task management easy and efficient.
  • Users praise Dawiso for its simple and intuitive workflow management, enhancing productivity with easy navigation and support.
  • Users value Dawiso's AI-powered automation, simplifying metadata management and enhancing efficiency in data asset organization.
Cons
  • Users find the limited customization options restrict their ability to tailor workflows, hindering adaptability for diverse needs.
  • Users experience integration issues with CRM, leading to unexpected bugs that disrupt workflow.
  • Users struggle with a steep learning curve due to insufficient documentation, hindering their overall experience with Dawiso.
  • Users express frustration over limited features in Dawiso, hindering their ability to manage complex workflows effectively.
  • Users often face limited tools with Dawiso, making it difficult to manage complex workflows effectively.

What Are Recent G2 Reviews of Dawiso?

decube

Decube is a Context Layer platform specifically designed for the AI era, providing organizations with the ability to give their data meaning, memory, and trust. This innovative system integrates various components such as metadata management, automated lineage tracking, data quality assurance, and observability to create a comprehensive real-time map of data dynamics. By understanding how data operates, flows, and its reliability, Decube empowers enterprises to make informed decisions and effectively manage AI workloads. Targeted primarily at enterprises that rely heavily on data-driven decision-making, Decube addresses a critical challenge faced by many organizations: the lack of contextual understanding of their data. In an age where data is abundant, the real issue lies in the ability to interpret and utilize that data effectively. Decube provides a connected understanding of the entire data ecosystem, which helps eliminate blind spots and enhances governance. This contextual awareness is essential for organizations looking to leverage AI technologies and ensure that their models, dashboards, and agents operate with greater intelligence and safety. Key features of Decube include its robust metadata management capabilities, which allow users to track and manage data lineage effortlessly. This feature ensures that organizations can trace the origins and transformations of their data, thereby enhancing transparency and accountability. Additionally, Decube’s focus on data quality means that users can trust the information they are working with, reducing the risk of errors in critical decision-making processes. The observability aspect of the platform further enables organizations to monitor data flows in real-time, ensuring that any issues can be identified and addressed promptly. The benefits of using Decube extend beyond mere data management. By providing a living, interconnected understanding of data, Decube enhances the overall operational confidence of organizations. This platform not only strengthens governance but also facilitates smarter decision-making by ensuring that all data-driven models are built on a foundation of reliable and contextualized information. As businesses increasingly depend on trustworthy data and AI-ready infrastructure, Decube stands out as a vital tool that equips them with the necessary context to navigate the complexities of the modern data landscape.

Average Rating: 4.6/5.0

Total Reviews: 23

How Do G2 Users Rate decube?

  • Ease of Use: 9.4/10 (Category avg: 8.8/10)

Who Is the Company Behind decube?

  • Seller: Decube Data
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Kuala Lumpur
  • LinkedIn® Page: www.linkedin.com
    46 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 39% Medium, 35% Small

What Do G2 Reviewers Say About decube?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive and efficient UI of Decube, simplifying data monitoring and issue detection.
  • Users appreciate the ease of use of Decube, enjoying its user-friendly interface and seamless data monitoring.
  • Users love the visibility into data pipelines provided by Decube, enabling early detection of issues and reliable data management.
  • Users value Decube for its robust data quality features, ensuring early detection of issues and reliable data management.
  • Users value Decube for its clear insights and easy data monitoring, making it simple to manage data pipelines effectively.
Cons
  • Users find the limited functionality of decube frustrating, as deeper insights require extra effort and manual configuration.
  • Users find the complex setup of Decube time-consuming and occasionally overwhelming during initial configuration.
  • Users find the limited features of Decube require extra effort for deeper insights and configurations.
  • Users find the missing features in Decube, such as API monitoring and group-by options, frustrating and limiting.
  • Users frequently experience poor customer support, often finding it difficult to reach assistance when needed.

What Are Recent G2 Reviews of decube?

Securiti

Securiti is the pioneer of the DataAI Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti's Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including "Most Innovative Startup" by RSA, "Top 25 Machine Learning Startups" by Forbes, "Most Innovative AI Companies'' by CB Insights, "Cool Vendor in Data Security" by Gartner, and "Privacy Management Wave Leader'' by Forrester. For more information, please follow us on LinkedIn and visit Securiti.ai.

Average Rating: 4.6/5.0

Total Reviews: 110

How Do G2 Users Rate Securiti?

  • Ease of Use: 8.6/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Securiti?

  • Seller: Veeam
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Kirkland, WA
  • LinkedIn® Page: www.linkedin.com
    7,515 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Banking
  • Company Size: 59% Large, 20% Medium

What Do G2 Reviewers Say About Securiti?

AI-generated summary from verified user reviews

Pros
  • Users find Securiti to be very user-friendly, appreciating its ease of use and excellent customer support.
  • Users praise the excellent customer support from Securiti, highlighting quick responses and helpful assistance.
  • Users appreciate the ease of use and excellent customer support provided by Securiti, enhancing their overall experience.
  • Users appreciate the helpful customer service of Securiti, which enhances their overall experience and support.
  • Users value the effective automation and centralization of privacy tasks, significantly reducing manual effort and improving efficiency.
Cons
  • Users face a complexity in usability due to functional limitations and a steep learning curve.
  • Users find a noticeable learning curve with Securiti, making it challenging to fully utilize its features.
  • Users face implementation issues with Securiti, including slow support, functional limitations, and a steep learning curve.
  • Users struggle with the complexity issues in Securiti, finding it hard to customize and configure effectively.
  • Users face a noticeable learning curve with Securiti, finding it challenging to navigate and utilize effectively.

What Are Recent G2 Reviews of Securiti?

What Are G2 Users Discussing About Securiti?

Talend Data Catalog

Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most meaningful data to the user.

Average Rating: 4.2/5.0

Total Reviews: 12

How Do G2 Users Rate Talend Data Catalog?

  • Ease of Use: 8.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Talend Data Catalog?

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

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Do G2 Reviewers Say About Talend Data Catalog?

AI-generated summary from verified user reviews

Pros
  • Users find Talend Data Catalog’s intuitive interface facilitates easy data viewing and usage, akin to e-commerce platforms.
  • Users appreciate the intuitive data discovery in Talend Data Catalog, making data usage easier and more accessible.
  • Users appreciate the intuitive ease of use of Talend Data Catalog, enhancing their experience with data management.
  • Users find Talend Data Catalog intuitive to use, resembling an easy-to-navigate e-commerce platform for data.
  • Users find the intuitive design of Talend Data Catalog makes data viewing and usage feel like an e-commerce platform.
Cons
  • Users find the interface complexity of Talend Data Catalog challenging, indicating a need for improvement and fine-tuning.
  • Users find the poor interface design of Talend Data Catalog lacks appeal and requires significant improvement for usability.
  • Users note the poor UI design of Talend Data Catalog, indicating it needs significant improvement for better usability.
  • Users believe the UI needs improvement for better appeal and functionality, indicating room for enhancement.
  • Users find the UI needs improvement to enhance its appeal and usefulness for better user experience.

What Are Recent G2 Reviews of Talend Data Catalog?

What Are G2 Users Discussing About Talend Data Catalog?

Tribal Platform

Tribal is where you get out of the Sandbox and into the wild. Apps and agents born in your stack, raised in your guardrails, working for you in production from day one. Native to your platform, your permissions, and the reality of how your business actually runs, with no third-party silo and no data ever leaving your environment. You assign a ticket to Tribal. Tribal already knows your org down to every object, field, dependency, and permission, so it can triage, fix, build, or hand the work back with full context. The backlog withers. Your team stops doing archaeology on every change. When something bigger comes along, the Tribal workspace puts business and IT on the same canvas, looking at the same architecture, agreeing on what to build before a single line of code is written. Then Tribal builds. Real code, native to your platform, production-ready. Own your metadata. Clear your tech debt. Build an agentic enterprise that actually runs. This is the era of enterprise builders, the teams who stopped firefighting and started leading. The ones who finally get to work on the problems worthy of them.

Average Rating: 4.9/5.0

Total Reviews: 7

How Do G2 Users Rate Tribal Platform?

  • Ease of Use: 9.4/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)

Who Is the Company Behind Tribal Platform?

  • Seller: Tribal
  • Company Website:
  • Year Founded: 2025
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 43% Small, 29% Medium

What Are Recent G2 Reviews of Tribal Platform?

Alex Solutions

Alex is a Metadata Management Platform designed to empower everyone to securely find, understand, protect, and ethically use the world’s data. Recognised by Gartner as a Leader in the Magic Quadrant for Metadata Management Solutions. Alex Solutions is an Australian-based start-up that is bringing innovation and disruptive ideas to the way organisations manage and leverage their information assets.

Average Rating: 4.9/5.0

Total Reviews: 5

How Do G2 Users Rate Alex Solutions?

  • Ease of Use: 10.0/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)
  • Automation Features: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Alex Solutions?

Who Uses This Product?

  • Company Size: 60% Medium, 40% Small

What Do G2 Reviewers Say About Alex Solutions?

AI-generated summary from verified user reviews

Pros
  • Users value the robust data governance and security features of Alex Solutions, enhancing data management and compliance.
  • Users value the strong data security provided by Alex Solutions, ensuring protection for their sensitive information.
Cons
  • Users find the complex initial setup of Alex Solutions to be challenging, hindering their ability to utilize the product effectively.
  • Users note that the complexity of data management in Alex Solutions can be overwhelming for smaller businesses.
  • Users report challenges with integration issues, including a complex initial setup and limited compatibility with other tools.

What Are Recent G2 Reviews of Alex Solutions?

SelectZero

SelectZero is a data observability platform that validates, monitors and documents data across every system in your stack, so problems surface before they reach a report, a regulator, a customer or an AI model. Engineers, analysts and data stewards work in the same platform. Technical teams write SQL-based checks or start from prebuilt templates. Business users own the glossary, follow lineage and get alerted when something in their domain breaks. Failed checks become Jira tickets assigned to the team that produced the data. Core capabilities include data profiling, business rule validation, unit and regression testing, cross-system reconciliation, anomaly detection, ETL pipeline testing, column-level lineage, data catalog and business glossary. AI assistants connect to SelectZero through MCP and work directly with the catalog, including metadata, lineage, test cases and data quality results. As a registered dbt partner, SelectZero brings dbt models, sources and tests into the catalog alongside your warehouses and BI tools. SelectZero runs self-hosted, including in fully offline environments where data cannot leave your infrastructure. Banks, telecoms, retailers and public sector organizations across Europe use it for regulatory requirements such as BCBS 239 and DORA, as well as internal data quality controls. Start with a free 30-day proof of concept in your own environment at selectzero.com/trial, or contact us at info@selectzero.com

Average Rating: 4.7/5.0

Total Reviews: 19

How Do G2 Users Rate SelectZero?

  • Ease of Use: 9.4/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind SelectZero?

  • Seller: SelectZero
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Tallinn, Estonia
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services
  • Company Size: 58% Medium, 26% Large

What Do G2 Reviewers Say About SelectZero?

AI-generated summary from verified user reviews

Pros
  • Users commend the fast and friendly customer support from SelectZero, enhancing their overall experience and satisfaction.
  • Users value the ease of use of SelectZero, appreciating its intuitive design and seamless integration into workflows.
  • Users appreciate the intuitive and user-friendly features of SelectZero, which enhance data management and collaboration.
  • Users appreciate the intuitive and easy-to-use platform of SelectZero, greatly enhancing their data governance and management experience.
  • Users commend SelectZero for its efficiency improvement in data management, enhancing visibility and decision-making across teams.
Cons
  • Users note user interface issues that may require time to adapt, though improvements are ongoing and anticipated.
  • Users find the notification limitations of SelectZero restrict informative alerts compared to competitors, but see value overall.
  • Users desire more customization options for test suite reports and business glossaries to enhance functionality.
  • Users note the limited functionality of notification options, hoping for future improvements and enhanced features.
  • Users find the user interface challenging, noting it's not intuitive initially and lacks sufficient guidance.

What Are Recent G2 Reviews of SelectZero?

Solidatus

Solidatus gives you trust in your data and confidence in your decisions. Get fast insights with dynamic discovery, game-changing visualization and the ability to sustainably govern your complex data landscape. By revealing hidden opportunities, threats and the impact of change, your Solidatus data blueprint will help you make the unknown known, so you can optimize your infrastructure, operate more efficiently and minimize risk.

Average Rating: 4.2/5.0

Total Reviews: 10

How Do G2 Users Rate Solidatus?

  • Ease of Use: 7.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Solidatus?

Who Uses This Product?

  • Company Size: 60% Small, 30% Medium

What Are Recent G2 Reviews of Solidatus?

Validio

Validio helps Fortune 2000 enterprises and leading tech companies like Nordea, AllianceBernstein, Walden, Point Predictive, and Truecaller improve the reliability of their analytical and operational data. Validio's AI-powered platform automatically monitors and validates both data and business KPIs, surfacing issues in real-time. This enables confident data-driven decision making across business domains such as user experiences, personalization, growth, and product development.

Average Rating: 5.0/5.0

Total Reviews: 16

How Do G2 Users Rate Validio?

  • Ease of Use: 9.6/10 (Category avg: 8.8/10)
  • Metadata Management: 10.0/10 (Category avg: 9.0/10)
  • Data Discovery: 9.4/10 (Category avg: 8.9/10)
  • Automation Features: 9.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Validio?

  • Seller: Validio
  • Year Founded: 2019
  • HQ Location: Stockholm, SE
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 63% Medium, 25% Small

What Do G2 Reviewers Say About Validio?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Validio?

Demyst

Demyst is an External Data Management Platform that empowers data teams to efficiently manage and operationalize external data across various business functions. By orchestrating tailored data pipelines, Demyst delivers trusted external data in customized formats, schemas, and logic, enabling organizations to focus on deriving value from their data use cases. With over 14 years of experience serving enterprises, Demyst has become a trusted partner for businesses seeking to harness the power of external data. Key Features and Functionality: - Connectors: Provide a unified interface to integrate with any external data source, simplifying the complexity of managing diverse data providers. - Data APIs: Enable real-time data access by deploying single or multiple connectors as standardized REST endpoints, complete with logging, monitoring, and alerting capabilities. - Data Shares: Facilitate the delivery of bulk data into organizational data lakes and warehouses, configured to specific needs regarding format, schema, and scheduling. - Configuration Gateway APIs: Allow centralized management and visibility of all external data through version-controlled systems with multiple access controls. - Metadata Management: Offer extensive metadata, including data dictionaries, performance statistics, usage logs, and governance information, integrating seamlessly with enterprise data catalogs like Informatica, Collibra, and Alation. - Security and Compliance: Adhere to industry standards and regulations, including SOC 2 Type II certification, GDPR, CCPA, FCRA, and GLBA compliance, ensuring secure and compliant data use. Primary Value and Problem Solved: Demyst addresses the challenges enterprises face in managing and utilizing external data by providing a comprehensive platform that streamlines data integration, governance, and operationalization. By reducing the time and effort required to access and manage external data, Demyst enables organizations to focus on deriving actionable insights and driving business outcomes. The platform's robust features ensure data reliability, compliance, and scalability, making it an invaluable partner for businesses aiming to leverage external data effectively.

Average Rating: 4.8/5.0

Total Reviews: 4

How Do G2 Users Rate Demyst?

  • Ease of Use: 9.6/10 (Category avg: 8.8/10)
  • Metadata Management: 8.8/10 (Category avg: 9.0/10)
  • Data Discovery: 8.8/10 (Category avg: 8.9/10)
  • Automation Features: 8.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Demyst?

  • Seller: Demyst
  • Year Founded: 2010
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Medium, 25% Small

What Are Recent G2 Reviews of Demyst?

MetaCenter

The MetaCenter Platform is a software platform to enable business and IT to collaborate in governing an organization's information assets. MetaCenter allows business and IT staff to self service questions about their data and how it flows through the business and classify how it should be used.

Average Rating: 4.6/5.0

Total Reviews: 5

How Do G2 Users Rate MetaCenter?

  • Ease of Use: 8.3/10 (Category avg: 8.8/10)
  • Metadata Management: 8.9/10 (Category avg: 9.0/10)
  • Data Discovery: 7.2/10 (Category avg: 8.9/10)
  • Automation Features: 7.8/10 (Category avg: 8.6/10)

Who Is the Company Behind MetaCenter?

Who Uses This Product?

  • Company Size: 60% Small, 20% Large

What Do G2 Reviewers Say About MetaCenter?

AI-generated summary from verified user reviews

Pros
  • Users find the comprehensive data cataloging and user-friendly UI of MetaCenter highly impressive and beneficial.
  • Users find MetaCenter easy to use, simplifying the classification of information assets within organizations.
  • Users appreciate the user-friendly UI of MetaCenter, enhancing their experience with impressive data cataloging features.
Cons
  • Users find the complex implementation of MetaCenter challenging, especially with complicated calculations and user flow issues.
  • Users express concern over the erosion of privacy and potential misuse of data within MetaCenter.
  • Users find the price slightly high and mention complexities that can impact the user experience negatively.
  • Users find the limited features of MetaCenter restrict its usefulness for complex and large angle calculations.

What Are Recent G2 Reviews of MetaCenter?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024