Appen is not the only option for Machine Learning Data Catalog Software. Explore other competing options and alternatives. Machine Learning Data Catalog Software is a widely used technology, and many people are seeking sophisticated, high quality software solutions with user access management, dynamic data masking, and business and data glossary. Other important factors to consider when researching alternatives to Appen include tasks. The best overall Appen alternative is SuperAnnotate. Other similar apps like Appen are Prolific, AWS Glue, Amazon Sagemaker Ground Truth, and V7 Darwin. Appen alternatives can be found in Machine Learning Data Catalog Software but may also be in Data Labeling Software or User Research Tools.
SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data.
We help facilitate a higher standard of online research. Conduct research with 130,000+ vetted participants and gain insights you can rely on.
AWS Glue is a fully managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load their data for analytics.
V7 Darwin is a data labeling platform used by AI developers who need to train specialized computer vision models. It supports diverse data types, including images, videos, and medical imaging formats like DICOM or WSI. The platform offers AI-assisted labeling, data management, and workflow orchestration tools to help companies, clinics, and research labs create high-quality training data for building sophisticated AI solutions. It is especially useful for managing complex review processes and real-time collaboration between multiple teams of annotators, engineers, and domain experts. V7 Darwin integrates with popular ML frameworks and infrastructure and maintains high security and compliance standards (SOC 2, HIPAA), which makes it suitable for industries such as healthcare, retail, security, and manufacturing.
A complete training data platform for AI.
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
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!
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.
Extract, transform, load for computer vision. Your datasets in every format. Balanced, labeled, versioned.