Total Products under this Category: 90
Last updated: October 20, 2026
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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)
Chat with your Enterprise Knowlange/Databases/Documents From HR policies to sales data, provide your team instance access to consistent company information. Just ask our AI finds what you need, explains it clearly, and helps everyone stay aligned.
Coalesce Catalog is a collaborative, automated data discovery & catalog tool. We believe that data people spend way too much time trying to find and understand their data. Coalesce Catalog redesigns how data people collaborate. It provides a single source of truth to reference and document all the knowledge related to data within your company. If you are looking for a table related to your customers, just look for it as you would in Google, and Coalesce Catalog provides you with all the context you will need for your analysis. Inspired by internal tools developed by Uber, Airbnb, Lyft, and Spotify, Coalesce Catalog has developed a plug-and-play solution that deploys in minutes to drive value for companies of all sizes. Discover and catalog your data today with Coalesce Catalog.
AI-generated summary from verified user reviews
Sapien's Data Collection Services provide high-quality, structured datasets tailored to fuel AI and machine learning projects. Addressing the challenges of sourcing and preparing data for AI training, Sapien utilizes real-time data collection software and automated techniques to gather relevant data for both supervised and unsupervised training models.
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Dataland is a unified data workspace specifically intended for frontline, operational users – like supply chain, logistics, operations, and customer support. Dataland centralizes all data into one place, so business users can ask AI, search, analyze, and take actions against data in one place. Business teams use Dataland to get a 360-degree view of all the data they need for their day-to-day workflows. Here’s how Dataland works: Real-time Data Sync: Dataland has built-in connectors to databases, data warehouses, SaaS APIs, and custom sources. Unlike traditional data integration tools, Dataland live-updates in real-time from its source systems, which is necessary for operational use cases. Universal Search: Dataland indexes the data in real-time and enables operational users to quickly search for up-to-date information across all attributes in all data sources. This enables users to quickly get the full context they need without having to know where to look or to use inflexible tools that can only look up information in specific pre-defined ways. 360-Degree Views: Dataland combines information from fragmented data sources into unified views that provide the complete 360-degree picture of every business entity. This eliminates the need for users to jump across multiple tools. AI Data Assistant: Users can ask AI to analyze data for them, without knowing SQL. Automations and Alerts: Custom business actions can be made available to operational users (e.g. triggering a Zapier automation, hitting an internal API, executing SQL updates, etc.) so they can complete end-to-end workflows in Dataland without ever having to leave the platform. Users can also define alerts through a simple interface without knowing code.
DataMarket is a data marketplace and data discovery solution within the RightData platform. It provides a centralized place where datasets and data products are organized, documented, and made available for use across teams, with defined access controls. Users can search and browse available data, view metadata, and understand what the data represents before requesting access. This helps them assess whether a dataset is relevant for their use case without relying on back-and-forth with data teams. Access requests follow approval workflows based on organizational policies, and records are maintained for audit and tracking purposes. DataMarket brings together data cataloging, data discovery, and access management in a single interface. Datasets are structured and categorized so they can be located and understood more easily. By standardizing how data is published and accessed, it reduces inconsistencies in how different teams interact with data. The platform supports data democratization by allowing more users across the organization to find and use data independently, while still operating within governance and security boundaries. This reduces dependency on data engineers for routine access and helps teams move faster on reporting and analysis tasks. DataMarket is used by business users, analysts, and data scientists who need access to data for reporting, analysis, and decision-making. It is also used by data engineers and data owners to publish, organize, and manage datasets so they can be accessed by others in a controlled manner.
data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set the standard for swift, people-centric governance. We don't just manage data; we unlock its potential, paving the way for responsible AI adoption and data-driven decision-making at scale. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500.
Deasie provides an automated labeling workflow to rapidly label, catalog and filter unstructured data better than any human.
Empowers non-tech users to converse with data using any LLMs, whether deployed in VPC or through external APIs, ensuring rapid retrieval with exceptional speed, accuracy, and precision. Fully managed and for tified with robust security guardrails to expose data on a need-to-know basis, thereby complying with info-sec protocols. It enables organizations to accelerate analytics and build AI apps securely with their enterprise data while safeguarding their invaluable assets.
Entity Catalog is a comprehensive database developed by Qloo, encompassing over 575 million entities across various domains such as entertainment, dining, travel, and consumer products. This extensive repository includes detailed information on movies, music, books, restaurants, hotels, and more, enabling businesses to gain deep insights into consumer preferences and trends.
Erisna is an enterprise data catalog and discovery platform that enables data analysts, data engineers, data scientists, and data managers to get the most out of their data. Connect Erisna to various data sources such as Amazon Redshift, Google BigQuery, Microsoft Azure Synapse, Snowflake, PostgreSQL, and SQL Server to build your data dictionary, auto-detect sensitive data, automate data discovery, gather data pipeline requirements and improve data governance, all in one place. Our platform helps organizations increase productivity, reduce regulatory risks, make better decisions, and reduce costs significantly. Create your Erisna account and request a demo today!
Forcepoint Data Classification redefines data classification with AI-driven precision and automation, eliminating manual errors and enhancing DLP efficacy. We use an advanced AI Mesh to deliver highly accurate data classification. Its networked AI architecture leverages a Small Language Model and advanced AI components to improve efficiency and reduce false positives. Through continuous learning and improvement. it delivers confident recommendations, enhancing policy enforcement and compliance for organizations.
FSQ Spatial H3 Hub eliminates traditional barriers to geospatial data adoption in traditional ML models by providing data scientists with analysis-ready datasets that do not require specialized geospatial tools or expertise. Datasets containing information in raster and vector formats are converted to tabular form and indexed to H3 cells. This allows data scientists to easily enrich their own datasets, containing attributes like lat/long coordinates, city names, or zip codes, by joining on a common H3 index. Built on DataHub‘s enterprise metadata management system, the platform ensures data lineage tracking, versioning, and governance capabilities that enterprise data teams require. This foundation enables the first offering in the FSQ Spatial H3 Hub: an Iceberg Catalog that offers 20+ open datasets pre-indexed to H3 cells at resolution 8, made available in a free preview. Data scientists can access this catalog from their framework of choice (Spark, Python, DuckDB) and augment their ML models with a rich array of spatial features.
Herus is a modern data catalog designed to help teams organize, discover, understand and govern their data faster. The platform integrates with your data stack to import metadata, semantic definitions, lineage, usage insights and data processing code. It can also push field descriptions back to databases as native SQL comments. Users can explore data through an intuitive interface, advanced SQL-like filters or AI-powered search. They can navigate table and field lineage end-to-end, trace data back to its sources, and understand how it flows into downstream dashboards and analytics. Herus uses AI to reduce manual documentation work by suggesting business definitions, inferring lineage and enabling natural language interactions within the catalog. All AI-generated suggestions remain fully reviewable before validation, keeping teams in control. Beyond cataloging existing assets, Herus includes a collaborative data board where analysts and engineers can visually design transformations. Based on these designs, AI can automatically generate complete written specifications, reducing duplicated work across documentation tools and wikis.
IQ Metadata Manager helps enterprises unlock their data by uniting metadata domain categories in a single place to create a real-time view of all of your information. Create a standardized glossary & data catalog. Improve data visibility for data preparation and analysis.
Key Ward is a deep-tech company specializing in engineering data management and AI adoption, particularly within the automotive and aerospace industries. Their flagship products, Key Ward HUB and Key Ward FLOW, leverage artificial intelligence to streamline and enhance engineering design processes. Key Ward HUB automates the extraction and conversion of data from various CAE/CAD file formats into AI-ready datasets, eliminating the need for manual data preparation. Key Ward FLOW utilizes pre-trained AI models to predict engineering design evaluations, such as computational fluid dynamics (CFD) assessments, enabling engineers to explore more design variations in less time. This approach not only accelerates the design evaluation cycle but also delivers more accurate results compared to traditional simulation methods. By integrating these tools, Key Ward empowers engineering teams to optimize designs efficiently, reduce the risk of late-stage failures, and improve overall product performance without requiring prior data science expertise.
