Best Machine Learning Data Catalog Software - Page 2

How Many Machine Learning Data Catalog Software Products Does G2 Track?

Total Products under this Category: 90

Category Stats (Oct 2026)

  • Average Rating: 4.37/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Collate (+5.15%) - Among all products in this category, Collate recorded the largest rating increase compared to last month

Last updated: October 20, 2026

How Does G2 Rank Machine Learning Data Catalog Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,200+ Authentic Reviews
  • 90+ 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 Machine Learning Data Catalog Software

G2 Grid® for Machine Learning Data Catalog Software plotting products by satisfaction and market presence

Highlighted products: Atlan, Alation, AWS Glue, erwin Data Modeler, Google Cloud Data Catalog, Cloudera, BMC AMI Data, and Appen.

Underlying data: [Grid® JSON](https://www.g2.com/categories/machine-learning-data-catalog/grids.json?focus%5B%5D=atlan&focus%5B%5D=alation&focus%5B%5D=aws-glue&focus%5B%5D=quest-software-erwin-data-modeler&focus%5B%5D=google-cloud-data-catalog&focus%5B%5D=cloudera&focus%5B%5D=bmc-ami-data&focus%5B%5D=appen)

Secoda

Secoda is an AI-powered data governance platform designed to help organizations explore, understand, and utilize their data effectively. By providing a comprehensive platform that connects to 75+ data sources, pipelines, warehouses, and visualization tools, Secoda aims to create a unified source of truth for businesses. This functionality is particularly valuable for organizations looking to enhance their self-serve analytics, streamline operations, and improve decision-making. Targeted at data teams, business stakeholders, and organizations of all sizes, Secoda serves as an essential tool for those who need to manage and interpret large volumes of data. Its user-friendly interface ensures that individuals with varying levels of technical expertise can leverage the platform to gain actionable insights. Companies such as Vanta, Cardinal Health, ID.me, and Dialpad have adopted Secoda to monitor the health of their data ecosystems, enhance the efficiency of their data teams, and scale AI readiness. One of Secoda’s core advantages is its ability to unify data cataloging, enterprise governance, and observability into a single, streamlined platform. This consolidation not only reduces the overhead of managing multiple tools but also powers Secoda AI with rich, connected context, enabling teams to focus on insights instead of infrastructure. Secoda automates key data management tasks including documentation, tagging, glossary term creation, and policy creation. This automation enables users to quickly discover and access relevant data and insights without extensive manual effort. By streamlining these processes, Secoda not only saves valuable time but also empowers teams to make confident, data-driven decisions based on current, well-organized information, ultimately driving better business outcomes. Overall, Secoda stands out in the data management landscape by offering a comprehensive, AI-driven solution that caters to the needs of both technical and non-technical users. Its ability to create a single source of truth, coupled with its integration of multiple functionalities into one platform, positions it as a valuable asset for organizations aiming to harness the full potential of their data.

Average Rating: 4.5/5.0

Total Reviews: 55

How Do G2 Users Rate Secoda?

  • Ease of Use: 8.2/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 9.3/10 (Category avg: 8.5/10)
  • Metadata Management : 9.5/10 (Category avg: 8.4/10)
  • Data Lineage: 8.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Secoda?

  • Seller: Secoda
  • Year Founded: 2021
  • HQ Location: Toronto, CA
  • Twitter: @SecodaHQ
    923 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Financial Services
  • Company Size: 65% Medium, 18% Small

What Do G2 Reviewers Say About Secoda?

AI-generated summary from verified user reviews

Pros
  • Users value the data lineage feature of Secoda for enhancing metadata integration and improving asset discovery across teams.
  • Users praise Secoda's easy onboarding and self-serve nature, enhancing data governance and user empowerment from day one.
  • Users value the integration capabilities of Secoda, seamlessly connecting with numerous platforms for enhanced data management.
  • Users appreciate the ease of learning with Secoda, noting its intuitive design and supportive resources for all users.
  • Users praise the helpful data lineage and questions features of Secoda for enhancing knowledge sharing and understanding.
Cons
  • Users find the learning difficulty with integrations and team systems to be a frustrating barrier to effective usage.
  • Users note that Secoda has product immaturity, with occasional bugs and a lack of some essential features.
  • Users express concerns over improvement needed for filtering assets, AI model descriptions, and overall user experience in Secoda.
  • Users find Secoda has limited functionality with an overwhelming interface and insufficient support for essential features.
  • Users report performance issues in Secoda, including syncing delays and frequent bugs affecting functionality and user experience.

What Are Recent G2 Reviews of Secoda?

Coalesce

What is Coalesce? Coalesce is the only data transformation platform built for scale, governance, and the AI-driven future. The platform provides data teams with an intuitive yet powerful interface to build, document, and manage data transformations 10x faster, all while maintaining standards and governance. With the addition of Coalesce Catalog, customers can now unify data transformation and metadata in a single solution—enabling better discovery, trust, and collaboration across the business. Coalesce simplifies data transformations with a visual, code-driven developer experience that helps data experts build manageable data pipelines at scale. By boosting data team productivity by 10x+, Coalesce helps SQL users of all experience levels deliver data projects as efficiently as possible, turn raw data into meaningful insights and avoid creating tech debt. How does Coalesce work? Coalesce automates in-database transformations, giving developers the flexibility to code as they like using an easy-to-learn graphical user interface (GUI) and codify repetitive work as needed. Coalesce enables data teams to extend and scale their projects using customizable templates for frequently-used transformations and by automatically generating standardized, best-practice SQL. Why Coalesce? Transform your data into discoverable, well-documented assets that everyone can use and understand. Coalesce speeds up development in a standardized way, making it simpler and faster to build complex pipelines of any size. Deliver ready-to-use data from day one: Coalesce brings speed, structure, and control to the transformation layer. With built-in structure and repeatable logic, Coalesce lets teams spend less time on low-level tasks and more time making data accessible and trustworthy. Build pipelines with precision: Coalesce delivers a powerful low-code experience that generates clean, performant SQL behind the scenes. With visual workflows, reusable logic, and version tracking, teams can transform data consistently and at scale without getting bogged down in manual work. AI-ready from the start: Coalesce Copilot uses AI to streamline documentation and boost data quality. With auto-generated lineage and smart metadata built in, your data is always prepared for analytics, machine learning, and beyond. Govern as you go: Don’t let governance be an afterthought. Coalesce tightly integrates data cataloging and transformation, giving every pipeline the context, documentation, and oversight it needs. That means consistent, compliant data across any data platform you’re using. What Data Platforms does Coalesce support? Coalesce supports Snowflake, Databricks, Microsoft Fabric, and Google BigQuery. How much does Coalesce cost? Coalesce customizes licensing to fit your data team's development needs, ensuring you only pay for what you need. For more information, request a custom quote or contact our sales team. How do I know if Coalesce is the right data transformation solution for my company? Coalesce is designed to be easy to learn and empower a wide spectrum of skill sets, ranging from data engineers and architects to data scientists and analysts. By pairing an intuitive GUI with code-driven capabilities, Coalesce helps data teams get ramped up quickly and enables seasoned data professionals to get up to speed on projects in half the time, and maximize their impact by working more productively How secure is Coalesce? Coalesce never stores your data at rest, and data in motion is always encrypted. After pipelines are deployed to production, all data refreshes are performed entirely within your data platform, meaning data never leaves the data warehouse. What data warehousing methodologies does Coalesce support? Coalesce supports all data warehousing methodologies, including Data Vault 2.0. How do I get Started with Coalesce? You can start using Coalesce today by creating a free 14-day trial, or by launching Coalesce from within your Snowflake account with Snowflake Partner Connect.

Average Rating: 4.7/5.0

Total Reviews: 118

How Do G2 Users Rate Coalesce?

  • Ease of Use: 9.3/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 9.9/10 (Category avg: 8.5/10)
  • Metadata Management : 9.9/10 (Category avg: 8.4/10)
  • Data Lineage: 9.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Coalesce?

  • Seller: Coalesce
  • Company Website:
  • Year Founded: 2020
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    104 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 66% Medium, 24% Large

What Do G2 Reviewers Say About Coalesce?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Coalesce, finding it intuitive and accessible for all experience levels.
  • Users value the automation capabilities of Coalesce, which significantly streamline data transformation and save time.
  • Users commend the excellent customer support of Coalesce, highlighting its responsiveness and dedication to user needs.
  • Users value the intuitive UI of Coalesce, making it easy for everyone to use and implement quickly.
  • Users love Coalesce for its user-friendly interface and seamless integration with Snowflake, enhancing data transformation efficiency.
Cons
  • Users often face UI design issues that hinder navigation and usability, affecting their overall experience with Coalesce.
  • Users face integration issues with Coalesce, particularly with limited options and challenges in managing git functionalities.
  • Users find the learning curve challenging due to the lack of comprehensive online courses and deep dives on features.
  • Users find limitations in credential management and customization options, hindering their overall experience with Coalesce.
  • Users find the poor documentation lacks depth, making it challenging to understand features and best practices effectively.

What Are Recent G2 Reviews of Coalesce?

Oracle Enterprise Metadata Management

Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more.

Average Rating: 3.7/5.0

Total Reviews: 16

How Do G2 Users Rate Oracle Enterprise Metadata Management?

  • Ease of Use: 5.6/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 5.7/10 (Category avg: 8.5/10)
  • Metadata Management : 6.0/10 (Category avg: 8.4/10)
  • Data Lineage: 5.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Oracle Enterprise Metadata Management?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Company Size: 44% Large, 38% Small

What Are Recent G2 Reviews of Oracle Enterprise Metadata Management?

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Common Voice dataset

Each entry in the dataset consists of a unique MP3 and corresponding text file. Many of the 1,368 recorded hours in the dataset also include demographic metadata like age, sex, and accent that can help train the accuracy of speech recognition engines. The dataset currently consists of 1,087 validated hours in 18 languages, but we're always adding more voices and languages.

Average Rating: 4.5/5.0

Total Reviews: 11

How Do G2 Users Rate Common Voice dataset?

  • Ease of Use: 8.2/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 6.8/10 (Category avg: 8.5/10)
  • Metadata Management : 8.2/10 (Category avg: 8.4/10)
  • Data Lineage: 6.8/10 (Category avg: 8.7/10)

Who Is the Company Behind Common Voice dataset?

  • Seller: Mozilla
  • Year Founded: 2005
  • HQ Location: San Francisco, CA
  • Twitter: @mozilla
    261,861 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,774 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Small, 27% Medium

What Are Recent G2 Reviews of Common Voice dataset?

What Are G2 Users Discussing About Common Voice dataset?

Sifflet

Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number. Teams like BBC, Saint-Gobain, Euronext, and CMA-CGM use Sifflet to run reliable data infrastructure at enterprise scale — with coverage from legacy systems to modern cloud stacks. The result: fewer incidents, faster root cause, and data that can be defended in any meeting.

Average Rating: 4.3/5.0

Total Reviews: 56

How Do G2 Users Rate Sifflet?

  • Ease of Use: 8.4/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Sifflet?

  • Seller: Sifflet
  • Year Founded: 2021
  • HQ Location: Paris, Ile-de-France
  • Twitter: @Siffletdata
    389 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    49 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Sifflet?

AI-generated summary from verified user reviews

Pros
  • Users value the efficiency improvements of Sifflet for effective issue spotting and timely alerts on Slack.
  • Users find Sifflet's ease of use enhances monitoring, facilitating quick responses to issues and notifications.
  • Users value the monitoring capabilities of Sifflet, enabling effective management and identification of data anomalies.
  • Users value the full visibility of data lineage from Sifflet, enhancing understanding of data flow and dependencies.
  • Users value the real-time alerting system for proactive issue spotting and collaboration across teams using Slack.
Cons
  • Users find the limited customization options frustrating, particularly for bulk editing and advanced configurations.
  • Users report a complex setup process for Sifflet, requiring significant time and effort for onboarding and monitoring.
  • Users find the overwhelming number of alerts challenging, requiring significant time to manage incidents effectively.
  • Users note the limited integration options with Hadoop and Elasticsearch, hindering its effectiveness for large data loads.
  • Users experience occasional lineage view loading delays and confusion in complex data warehouse architectures.

What Are Recent G2 Reviews of Sifflet?

Coginiti

Coginiti is a SQL-first collaborative data operations platform that empowers teams to build, publish, and consume quality data products, streamlining the data analytics lifecycle from inception to insights. Integrating with the widest variety of data platforms and tools, Coginiti enables analysts, engineers, and data scientists to collaborate in real-time, breaking down silos and fostering innovation. Its intuitive interface simplifies managing complex data workflows, ensuring governance and consistency across projects. Key Features: - Realtime Collaboration - Flexible Data Modeling - Data Quality Testing - Visualize Data Lineage - Native Scheduling - Powerful APIs - AI Assistant Coginiti facilitates a seamless transition from data preparation to actionable intelligence. It’s not just about refining your data strategy or scaling your analytics capabilities; it’s about empowering your organization to harness the full potential of data for informed decision-making. Discover the power of Coginiti and transform your data operations. Coginiti offers products for individual analysts, data teams, and enterprises.

Average Rating: 4.5/5.0

Total Reviews: 29

How Do G2 Users Rate Coginiti?

  • Ease of Use: 9.4/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 8.9/10 (Category avg: 8.5/10)
  • Metadata Management : 8.8/10 (Category avg: 8.4/10)
  • Data Lineage: 8.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Coginiti?

  • Seller: Coginiti Corp
  • Year Founded: 2020
  • HQ Location: Atlanta , GA
  • Twitter: @coginiti
    71 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 66% Large, 28% Medium

What Are Recent G2 Reviews of Coginiti?

What Are G2 Users Discussing About Coginiti?

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: 8.6/10)

Who Is the Company Behind DataHub?

  • Seller: DataHub
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, California
  • Twitter: @DataHubCloud
    720 Twitter followers
  • 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 find DataHub easy to use, enhancing data management and organization while simplifying complex data processes.
  • Users value the connectivity of DataHub, appreciating its ability to integrate with numerous tools effortlessly.
  • Users appreciate the ease of use and accessibility of DataHub as an open-source data catalog tool.
  • Users value the accuracy of DataHub, which simplifies understanding complex data lineage effectively.
  • Users value the affordability of DataHub, appreciating its free and open-source nature for diverse tools.
Cons
  • Users report integration issues with DataHub, particularly lacking support for DBT and data quality tests.
  • Users face dependency issues with DataHub, requiring significant effort from data owners who may lack motivation.
  • Users find the difficult interface of DataHub can be clunky, impacting their overall user experience.
  • Users express concerns over the lack of features in DataHub, particularly in data quality testing and dbt support.
  • Users experience performance issues with large datasets, which can slow down operations and complicate usage.

What Are Recent G2 Reviews of DataHub?

ServiceNow Workflow Data Fabric

Workflow Data Fabric is the AI‑ready data foundation of the ServiceNow AI Platform. It connects to any data—structured, unstructured, and streaming—contextualizes it with business meaning and governance, and controls it with lineage and policies so employees and AI agents can confidently act on real‑time information to prevent disruptions, resolve requests faster, and optimize operations—all on one platform. How Workflow Data Fabric turns data into instant action Connect Unify data from systems like Salesforce, SAP, Workday, data lakes, and event streams in real time without duplication or fragile point‑to‑point integrations. With Zero Copy Connectors, Stream Connect, External Content Connectors, and Integration Hub, Workflow Data Fabric simplifies architecture and cuts integration cost and time. Contextualize Give data business meaning and make it trustworthy with an active Data Catalog, embedded governance, and lineage. Use Knowledge Graph to map relationships (e.g., customers, assets, orders) so AI agents and workflows understand context and make accurate decisions in the flow of work. Control Apply policies, permissions, and compliance guards across connected sources so the right people and AI agents access the right data, at the right time, with full auditability and traceability—no more shadow copies or opaque pipelines.

Average Rating: 4.3/5.0

Total Reviews: 152

How Do G2 Users Rate ServiceNow Workflow Data Fabric?

  • Ease of Use: 8.1/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 8.3/10 (Category avg: 8.5/10)
  • Metadata Management : 5.0/10 (Category avg: 8.4/10)
  • Data Lineage: 7.1/10 (Category avg: 8.7/10)

Who Is the Company Behind ServiceNow Workflow Data Fabric?

  • Seller: ServiceNow
  • Company Website:
  • Year Founded: 2004
  • HQ Location: Santa Clara, CA
  • Twitter: @servicenow
    55,548 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    35,078 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 46% Large, 28% Medium

What Do G2 Reviewers Say About ServiceNow Workflow Data Fabric?

AI-generated summary from verified user reviews

Pros
  • Users find ServiceNow's ease of use enhances workflow management, allowing seamless integration and automation with minimal effort.
  • Users value the seamless integrations of ServiceNow Workflow Data Fabric, enhancing collaboration and streamlining processes across departments.
  • Users appreciate the low-code automation of ServiceNow Workflow Data Fabric, simplifying integrations and enhancing workflow management.
  • Users value the efficiency improvement from ServiceNow Workflow Data Fabric, enhancing operations and reducing manual effort significantly.
  • Users value the unified data access of ServiceNow Workflow Data Fabric, enhancing efficiency and simplifying decision-making across workflows.
Cons
  • Users find the complex setup of ServiceNow Workflow Data Fabric challenging, requiring significant time and expertise for proper configuration.
  • Users find the difficult setup of ServiceNow Workflow Data Fabric time-consuming and challenging, impacting accessibility and integration.
  • Users find the pricing quite expensive, making it challenging for smaller teams to justify the costs.
  • Users experience slow performance when handling large datasets, impacting efficiency and responsiveness during data operations.
  • Users find the complexity of learning and managing features in ServiceNow Workflow Data Fabric challenging for new users.

What Are Recent G2 Reviews of ServiceNow Workflow Data Fabric?

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: 8.6/10)
  • Business and Data Glossary: 6.7/10 (Category avg: 8.5/10)
  • Metadata Management : 9.4/10 (Category avg: 8.4/10)
  • Data Lineage: 9.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Talend Data Catalog?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • 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 value the intuitive data viewing experience of Talend Data Catalog, similar to an e-commerce platform.
  • Users appreciate the intuitive data discovery feature of Talend Data Catalog, simplifying data access and usability.
  • Users find Talend Data Catalog's intuitive interface makes data access and usage similar to an e-commerce platform.
  • Users find Talend Data Catalog intuitive and easy to navigate, resembling an e-commerce platform for data access.
  • Users appreciate the intuitive data visualization of Talend Data Catalog, enhancing their overall data management experience.
Cons
  • Users feel the interface complexity of Talend Data Catalog needs more fine-tuning to enhance usability and appeal.
  • Users find the poor interface design of Talend Data Catalog needs improvement for better usability and appeal.
  • Users feel the UI needs more fine-tuning to enhance its appeal and overall usability in Talend Data Catalog.
  • Users feel the UI needs improvement for better appeal and functionality in Talend Data Catalog.
  • Users note the UI needs improvement, requiring more fine-tuning for a more appealing and useful experience.

What Are Recent G2 Reviews of Talend Data Catalog?

What Are G2 Users Discussing About Talend Data Catalog?

Zeenea

"Zeenea is the Data Discovery Platform built for everyone to find, trust, and unlock the value of enterprise data. The cloud platform features two modern user experiences: Zeenea Studio is the application designed for data experts to save time managing, documenting, and governing data with maximum automation; while Zeenea Explorer enables business users to gain productivity by finding the data assets they need across all enterprise information. Zeenea’s built-in scanners and APIs enable organizations to automatically collect, consolidate, and link metadata from their data ecosystem. With a powerful knowledge graph and smart search engine, data teams can activate all enterprise metadata through a single source of truth. Zeenea helps dozens of organizations worldwide democratize data, including BPCE Group, Club Med, Generali, Renault, Société Générale, Solactive and Stellantis. Zeenea's SOC 2 Type II-certified solutions include a Data Catalog, a Business Glossary, Data Lineage, Data Quality, Data Governance, Data Stewardship, Data Privacy, Regulatory Compliance, Cloud Transformation."

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate Zeenea?

  • Ease of Use: 8.3/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 8.3/10 (Category avg: 8.5/10)
  • Metadata Management : 8.8/10 (Category avg: 8.4/10)
  • Data Lineage: 7.5/10 (Category avg: 8.7/10)

Who Is the Company Behind Zeenea?

  • Seller: Zeenea
  • Year Founded: 2017
  • HQ Location: Paris, √éle-de-France
  • Twitter: @ZeeneaSoftware
    248 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    571 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 25% Large

What Are Recent G2 Reviews of Zeenea?

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?

  • Ease of Use: 9.5/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 10.0/10 (Category avg: 8.5/10)
  • Metadata Management : 9.6/10 (Category avg: 8.4/10)
  • Data Lineage: 9.6/10 (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?

Sama

Sama is a globally recognized leader in data annotation solutions for enterprise computer vision and generative AI models that require the highest accuracy. As an industry pioneer with 15 years of experience, Sama’s expertise and solutions are trusted by leading companies such as GM, Ford, Continental, Google, and many more. Sama specializes in data annotation services for generative AI, and 2D and 3D image and video (including LiDAR and sensor fusion). We also validate complex machine learning algorithms. As a leader in ethical AI and a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good. We have meaningfully improved employment and income outcomes for those with the greatest barriers to formal work (validated by an independent MIT study). So far, we've helped more than 60,000 people lift themselves out of poverty. For more information, visit www.sama.com

Average Rating: 4.6/5.0

Total Reviews: 11

How Do G2 Users Rate Sama?

  • Ease of Use: 9.2/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 10.0/10 (Category avg: 8.5/10)
  • Metadata Management : 8.9/10 (Category avg: 8.4/10)
  • Data Lineage: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Sama?

  • Seller: Sama
  • Year Founded: 2008
  • HQ Location: San Francisco, US
  • Twitter: @SamaAI
    228,871 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,349 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 55% Small, 36% Large

What Do G2 Reviewers Say About Sama?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the amazing data preprocessing and enrichment features of Sama, enhancing their analytics experience.
  • Users value the 24/7 customer support services of Sama, enhancing their experience with tutorials and demos.
  • Users appreciate the data cataloging features of Sama, enhancing data management and providing quick insights.
  • Users appreciate the amazing data pre-processing and enrichment features of Sama, significantly enhancing their analytics capabilities.
  • Users appreciate the advanced data processing and enrichment features of Sama, enhancing their analytics capabilities significantly.
Cons
  • Users find the complexity of Sama necessitates extensive training and skilled personnel, complicating its usability.
  • Users find the complex setup of Sama requires extensive training or skilled personnel for effective operation.
  • Users find the product's complexity creates a lack of training, necessitating skilled personnel for effective operation.
  • Users find that the product demands extensive training, making it difficult to operate without skilled personnel.

What Are Recent G2 Reviews of Sama?

Anzo

Altair® Graph Studio™ (formerly Anzo) is a comprehensive data discovery and integration toolset that applies a semantic, graph-based data fabric layer over diverse enterprise data sources. This semantic layer adds real-world meaning to data – structured and unstructured alike – making insights clearer and previously unseen connections explicit. Graph Studio creates a single pane of glass for an enterprise's data, eliminates data silos, activates unused data, and enables exciting new levels of on-demand business insight.

Average Rating: 4.3/5.0

Total Reviews: 11

How Do G2 Users Rate Anzo?

  • Ease of Use: 9.4/10 (Category avg: 8.6/10)
  • Business and Data Glossary: 9.2/10 (Category avg: 8.5/10)
  • Metadata Management : 10.0/10 (Category avg: 8.4/10)
  • Data Lineage: 9.6/10 (Category avg: 8.7/10)

Who Is the Company Behind Anzo?

Who Uses This Product?

  • Company Size: 45% Small, 36% Medium

What Are Recent G2 Reviews of Anzo?

Denodo

Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data to trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone. The Denodo Platform includes the following capabilities: - A semantic layer, with semantic search and embedded data prep in a self-service data catalog. - Unified, real-time-updated data views without expensive replication or copying of data. - Native connectors to over 200 source systems, both cloud and on-premises - An AI SDK which implements metadata-driven RAG (retrieval augmented generation) to provide trusted data to AI agents. - Query acceleration, improving lakehouse performance by 10x while also reducing compute and storage costs. - Federated enterprise-wide governance and privacy compliance. - Greater automation of common data engineering tasks, with the AI-powered Denodo Assistant. Enterprises world-wide across every major industry have used Denodo to achieve greater business self-service and agility, improve operational visibility and efficiency, optimize the performance and cost of modern data infrastructure such as Lakehouses, and ensure success of their AI initiatives. Denodo now offers two options to meet these needs: the Denodo Platform, deployable in all Clouds (AWS, Azure, GCP and Alibaba) and on-premises for full control, and Agora, our fully managed cloud service available on AWS, offering an entirely managed experience with the same rich data capabilities. Denodo provides a unique approach to data integration and management not found in any other platform. Denodo customers reported: 83% increase in business user productivity 67% reduction in time required to prepare data for AI 65% decrease in data delivery time vs. ETL 10x improvement in Lakehouse query performance compared to running queries directly resulting in an average three-year benefit of $6.8M, ROI of 408%, and payback within six months across customers.

Average Rating: 4.3/5.0

Total Reviews: 39

How Do G2 Users Rate Denodo?

  • Ease of Use: 8.7/10 (Category avg: 8.6/10)
  • Metadata Management : 6.7/10 (Category avg: 8.4/10)
  • Data Lineage: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Denodo?

  • Seller: Denodo
  • Year Founded: 1999
  • HQ Location: Palo Alto, CA
  • Twitter: @denodo
    5,555 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    792 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 47% Large, 30% Medium

What Do G2 Reviewers Say About Denodo?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration and unified data access of Denodo, enhancing workflows and data management significantly.
  • Users appreciate the extensive built-in connectors of Denodo, streamlining seamless integration and facilitating unified data access.
  • Users highly value the extensive data cataloging features of Denodo, facilitating efficient integration and management of data sources.
  • Users appreciate the seamless data integration of Denodo, which streamlines workflows and enhances data management processes.
  • Users value the ease of use with Denodo, appreciating its seamless setup and integration capabilities.
Cons
  • Users find Denodo to be expensive, making it less accessible for smaller companies looking for affordable solutions.
  • Users often face bug issues with the Web Designer, impacting usability compared to the Admin tool.
  • Users find the Web Designer buggy at times, leading to frustration compared to the Admin tool's performance.
  • Users find the steep learning curve of Denodo challenging, particularly for smaller companies with limited resources.
  • Users find the steep learning curve of Denodo challenging, especially for smaller companies trying to adapt.

What Are Recent G2 Reviews of Denodo?

What Are G2 Users Discussing About Denodo?

Collate

Collate is the AI-for-Data platform and the company behind OpenMetadata, the open context layer for AI. It gives data teams and AI agents the context, business meaning, and organizational memory needed to understand and use enterprise data consistently. Collate automates the recurring work required to keep data documented, tested, and governed, while grounding AI in the context needed to produce more accurate answers with fewer tokens.  More than 4,000 organizations worldwide, including OpenAI, Yelp, Experian, and Airbus, run their production data and AI workloads on Collate and OpenMetadata.

Average Rating: 4.6/5.0

Total Reviews: 9

How Do G2 Users Rate Collate?

  • Ease of Use: 9.3/10 (Category avg: 8.6/10)

Who Is the Company Behind Collate?

  • Seller: Collate
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • Twitter: @CollateData
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Medium, 33% Large

What Are Recent G2 Reviews of Collate?

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