Top 10 Intel Machine Learning Scaling Library Alternatives & Competitors

(3)4.2 out of 5

Research alternative solutions to Intel Machine Learning Scaling Library on G2, with real user reviews on competing tools. Machine Learning Data Catalog Software is a widely used technology, and many people are seeking innovative, easily administered software solutions with user access management, dynamic data masking, and business and data glossary. Other important factors to consider when researching alternatives to Intel Machine Learning Scaling Library include ease of use and reliability. The best overall Intel Machine Learning Scaling Library alternative is AWS Glue. Other similar apps like Intel Machine Learning Scaling Library are Atlan, Collibra, Alation, and Appen. Intel Machine Learning Scaling Library alternatives can be found in Machine Learning Data Catalog Software but may also be in Data Governance Tools or ETL Tools.

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Best Paid & Free Alternatives to Intel Machine Learning Scaling Library

AWS Glue
Atlan
Collibra
Alation
Appen
Coalesce Catalog (formerly CastorDoc)
DataGalaxy
ServiceNow Workflow Data Fabric

Top 10 Alternatives to Intel Machine Learning Scaling Library Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Intel Machine Learning Scaling Library stacks up to the competition, check reviews from current & previous users in industries like Education Management, E-Learning, and Electrical/Electronic Manufacturing, and find the best product for your business.

AWS Glue

By Amazon Web Services (AWS)

4.2/5

(195)

Product Description

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog

Atlan

By Atlan

4.5/5

(122)

Product Description

Atlan is a Modern Data Workspace with the vision to enable data democratization within organizations, while maintaining the highest standards of governance and security. The diverse users of today’s modern data team, ranging from data engineers to business users, come together to collaborate on Atlan. By enabling data discovery, context sharing, governance, and security, data teams using Atlan are able to free upwards of 30% of their time—replacing manual, repetitive tasks with automation and minimizing dependency on IT. Teams using Atlan have been able to improve time to insight by 60X and create 100 additional data projects in a single quarter!

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog

Collibra

By Collibra

4.2/5

(102)

Product Description

Unlike other data and AI governance solutions, Collibra offers a complete platform, powered by an enterprise metadata graph, that unifies data and AI governance to provide automated visibility, context and control—across every system and use case—and enriches data context with every use. The platform lets your people trust, comply and consume all your data while the enterprise metadata graph accumulates context with every use. Collibra’s automated access control safely puts data in your users’ hands without manual intervention, bringing more safety and more autonomy to every user to accelerate innovation. And Collibra AI Governance is the only solution that creates an active link between datasets and policies, models and AI use cases — cataloging, assessing and monitoring every AI use case and associated data set.

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog

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Appen

By Appen

4.2/5

(32)

Product Description

Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over 1 million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog

Coalesce Catalog (formerly CastorDoc)

By Coalesce

4.7/5

(64)

Product Description

CastorDoc 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. CastorDoc 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 CastorDoc provides you with all the context you will need in your analysis. Inspired by internal tools developed by Uber, Airbnb, Lyft, and Spotify, Castor has developed a plug & play solution that deploys in mins to drive value for companies of all sizes. Discover and catalog your data today.

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog

DataGalaxy

By DataGalaxy

4.8/5

(62)

Product Description

DataGalaxy is the industry’s first data knowledge catalog helping organizations understand how their entire business runs on data. An established leader in Europe, growing rapidly and operating worldwide, DataGalaxy offers a user-centric platform dedicated to metadata mapping, active metadata management, and metadata knowledge sharing. With its innovative approach to data governance and cataloging, DataGalaxy helps businesses of all sizes gain control over their data assets and make better, more informed decisions.

Categories in common with Intel Machine Learning Scaling Library:

Machine Learning Data Catalog