Best Machine Learning Data Catalog Software

IBM Watson Knowledge Catalog powers intelligent, self-service discovery of data, models and more, activating them for artificial intelligence, machine learning and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Learn More: https://ibm.co/2QIK2d0

Alation is a data catalog designed to empower analysts to search, query & collaborate on data to gain faster, more accurate insights.

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.

Cloudera Navigator is a complete data governance solution for Hadoop, offering critical capabilities such as data discovery, continuous optimization, audit, lineage, metadata management, and policy enforcement. As part of Cloudera Enterprise, Cloudera Navigator enables performance agile analytics, supporting continuous data architecture optimization, and meeting regulatory compliance requirements.

Data Steward Studio (DSS) is a DataPlane Service that empowers users to understand, secure, and govern data across enterprise data lakes.

Unifi is a single data interface for the enterprise.

A Semantic Layer for the Enterprise. Enabling Connected Data Access and Analytics on Demand. Anzo Smart Data Lake (ASDL) connects to both internal and external data sources, including cloud or on-premise Hadoop based data lakes to rapidly ingest and catalog large volumes of structured and unstructured data through horizontally scaled, automated Extract, Transform and Load (ETL) processes that can be mapped to establish a Semantic Layer of business meaning.

Collibra Data Governance Center is an enterprise-wide data governance solution that puts people and processes first, automating data governance and management to quickly and securely deliver trusted data to the business users who need it.

Altair Knowledge Hub is an enterprise data prep solution that empowers individuals and organizations to intelligently tap into more data to drive faster insight and better value. Knowledge Hub provides clear lineage, evidence of integrity, and organizational governance controls as well as cross-team sharing and collaboration in a centralized marketplace where users can publish their output to any analytics or reporting platform.

machine-learning-based data catalog lets you classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across your enterprise.

Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.

Infogix Data3Sixty enables users to source data from multiple data platforms and applications, including other Infogix products, as well as external databases, enabling collaboration, knowledge-sharing, and user.

A machine-learning-based data catalog that allows to classify and organize data assets across cloud, on-premises, and big data. It provides maximum value and reuse of data across enterprise.

Reltio Cloud delivers enterprise data-driven applications together with a modern data management Platform as a Service (PaaS), guiding customers to take the right actions, based on the right insights, to achieve the right results.

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.

Waterline Data Fingerprinting works by analyzing the data values in each data set and profiling the data. Waterline Data then uses that information to create a fingerprint for each column of data—using machine learning to intelligently and automatically tag and match data fingerprints to glossary terms and populate the data catalog. Users can then refine matched terms, and remaining unmatched terms, through crowdsourcing.