Best Machine Learning Data Catalog Software - Page 8

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

Total Products under this Category: 113

Category Stats (Nov 2026)

  • Average Rating: 4.37/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Collate (+2.22%) - Among all products in this category, Collate recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Machine Learning Data Catalog Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,500+ Authentic Reviews
  • 113+ 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, Appen, and BMC AMI Data.

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=appen&focus%5B%5D=bmc-ami-data)

Traceye

Traceye is an Enterprise-grade data indexing infrastructure platform to build and deploy subgraphs with best-in-class performance, security and scalability. Experience Faster and Seamless Access to Indexed Blockchain Data with Traceye Subgraphs.

Who Is the Company Behind Traceye?

Trust3.ai

Trust3 AI is a control plane to provide full visibility and security of your agents and everything they touch across the entire agent lifecycle, from build-time to runtime.

Who Is the Company Behind Trust3.ai?

  • Seller: Trust3 AI
  • Year Founded: 2016
  • HQ Location: Newark, California, United States
  • LinkedIn® Page: www.linkedin.com
    110 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Large

Untrite

Complex organisations with legacy systems and specialised knowledge suffer from data silos and fragmented information. Untrite Intelligence™ AI platform helps leveraging your existing data to improve internal operations and customer service efficiency by up to 42%. Unlike other large corporations where you need to purchase an out of box full solution, we provide a modular platform with building blocks which you pick as you need. The more modules and areas of your business are connected, the more synergy effects can be achieved. Untrite Intelligence™ empowers your teams to use the data to increase transparency and efficiency of your business workflows; improve first time customer query resolution, optimise service performance, assess and mitigate risks and drive exceptional client experience.

Who Is the Company Behind Untrite?

  • Seller: Untrite
  • Year Founded: 2015
  • HQ Location: London, GB
  • LinkedIn® Page: www.linkedin.com
    7 employees on LinkedIn®

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How it works

V7 Darwin

V7 Darwin is a specialized AI platform for creating high-quality training data and managing annotation workflows. It is engineered for teams building sophisticated computer vision models and solving complex, domain-specific challenges with AI. V7 Darwin provides a comprehensive suite of tools for data labeling, video annotation, and medical imaging annotation. - Create pixel-perfect image and video annotations with Auto-Annotate and SAM for semantic masks, instance segmentation, keypoints, and polygons. - Develop medical AI with tools for DICOM, NIfTI, and WSI annotation, featuring an interface with MPR, 3D rendering, precise crosshairs, windowing, and oblique views. - Accelerate video annotation by up to 10x with AI-assisted auto-tracking for objects across frames. - Manage long videos, multi-camera views, and nested annotation classes. - Design multi-stage review workflows with conditional logic, consensus, and task assignment for your data labeling pipeline. - Organize, filter, and manage large datasets with custom views and tags, enabling real-time team collaboration for annotators, reviewers, and ML engineers. - Scale your annotation projects with professional data labeling services, including certified annotators and experts in various domains (medical, video, LLMs, scientific). You can seamlessly integrate V7 Darwin with your existing tech stack and import/export annotations with ease. Get complete control over your models, tasks, and datasets through the open API, Darwin-py SDK, and CLI.

Average Rating: 4.7/5.0

Total Reviews: 55

How Do G2 Users Rate V7 Darwin?

  • Ease of Use: 9.5/10 (Category avg: 8.6/10)

Who Is the Company Behind V7 Darwin?

  • Seller: V7
  • Year Founded: 2018
  • HQ Location: London, England
  • LinkedIn® Page: www.linkedin.com
    105 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 55% Small, 35% Medium

What Do G2 Reviewers Say About V7 Darwin?

AI-generated summary from verified user reviews

Pros
  • Users find V7 Darwin's interface easy to use, enhancing navigation and simplifying HR tasks efficiently.
  • Users commend the annotation efficiency of V7 Darwin, noting its tools streamline the labeling process effectively.
  • Users appreciate the automatic annotation tools in V7 Darwin, making the annotation process quick and user-friendly.
  • Users value the integrated functionality of V7 Darwin for streamlining HR processes and improving operational efficiency.
  • Users highlight the efficiency of V7 Darwin, noting its time-saving automation and seamless management of workflows.
Cons
  • Users find V7 Darwin lacking essential features, such as file manipulation and polygon editing capabilities.
  • Users miss essential missing features like polygon manipulation and file management, which hinder their overall experience.
  • Users find the limited features of V7 Darwin hinder their workflow, lacking essential functionalities like file manipulation and export options.
  • Users are frustrated by the annotation issues such as inability to retract submissions and missing approval shortcuts.
  • Users find the difficult navigation in V7 Darwin frustrating, hindering their ability to utilize advanced features effectively.

What Are Recent G2 Reviews of V7 Darwin?

What Are G2 Users Discussing About V7 Darwin?

Vectice

Vectice, an auto-documentation platform, empowers data scientists and model developers to build trust faster in AI models. By continuously cataloging AI assets and knowledge during development, model documentation, compliance, and governance becomes easier. Integrating with your existing tools, Vectice generates comprehensive and consistent documentation effortlessly. This typically results in model-to-production time being cut by 25% or more. Vectice works with global Data Science and AI/ML leaders to boost productivity while improving their ability to control risk and governance. Vectice integrates seamlessly with popular AI/ML tools like Python, R, Snowflake, Databricks, MLflow, and more. For more information, visit www.vectice.com

Who Is the Company Behind Vectice?

  • Seller: Vectice
  • Year Founded: 2020
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Visual Bank

Visual bank is a visual rights company that operates a stock photo business and provides an AI data platform.

Who Is the Company Behind Visual Bank?

Vyapin Dockit Metadata Manager

Dockit Metadata Manager for SharePoint allows you to take control of all aspects of metadata management in your SharePoint. As everyone knows, SharePoint content without proper metadata renders SharePoint to be just a storage repository resulting in very poor user adoption and gross under-utilization of the powerful capabilities of SharePoint. Irrespective of whether you have a well settled, on-going production SharePoint environment or you have just begun to streamline your SharePoint metadata before or after your SharePoint migration, you need to have complete control on how your SharePoint metadata is organized and how it needs to be monitored and managed.

Who Is the Company Behind Vyapin Dockit Metadata Manager?

  • Seller: Vyapin
  • Year Founded: 1996
  • HQ Location: Chennai, Tamil Nadu
  • LinkedIn® Page: www.linkedin.com
    28 employees on LinkedIn®

Yodify DEC

Who Is the Company Behind Yodify DEC?

  • Seller: Yodify
  • Year Founded: 2014
  • HQ Location: Calgary, CA
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®
Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 3, 2024