Best Data Labeling Software for Azure Databricks

Compare the Top Data Labeling Software that integrates with Azure Databricks as of December 2025

This a list of Data Labeling software that integrates with Azure Databricks. Use the filters on the left to add additional filters for products that have integrations with Azure Databricks. View the products that work with Azure Databricks in the table below.

What is Data Labeling Software for Azure Databricks?

Data labeling software is a tool that assists in the organization and categorization of large datasets. Data labeling tools enable data to be labeled with relevant tags depending on the purpose such as for machine learning, image annotation, or text classification. Data labeling software can also assist in categorizing input from customers so businesses can better understand their needs and preferences. The software typically comes with different features such as automated labeling, collaboration tools, and scaleable solutions to handle larger datasets. Compare and read user reviews of the best Data Labeling software for Azure Databricks currently available using the table below. This list is updated regularly.

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    Ango Hub

    Ango Hub

    iMerit

    Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.
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  • 2
    NLP Lab

    NLP Lab

    John Snow Labs

    John Snow Labs' Generative AI Lab is a cutting-edge platform designed to empower enterprises with the ability to develop, customize, and deploy state-of-the-art generative AI models. The lab provides a robust, end-to-end solution that simplifies the integration of generative AI into business operations, making it accessible to organizations of all sizes and industries. The Generative AI Lab offers a no-code environment, allowing users to create sophisticated AI models without needing extensive programming expertise. This democratizes AI development, enabling business professionals, data scientists, and developers to collaboratively build and deploy models that can transform data into actionable insights. The platform is built on top of a rich ecosystem of pre-trained models, advanced NLP capabilities, and a comprehensive suite of tools that streamline the process of customizing AI for specific business needs.
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