Best Qualitative Data Analysis Software for Amazon Web Services (AWS)

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Compare the Top Qualitative Data Analysis Software that integrates with Amazon Web Services (AWS) as of June 2025

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This a list of Qualitative Data Analysis software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

What is Qualitative Data Analysis Software for Amazon Web Services (AWS)?

Qualitative data analysis software helps researchers and analysts organize, interpret, and draw insights from non-numerical data such as interviews, text, images, and audio recordings. These tools enable users to categorize and code data, identify patterns, and track themes across datasets, making it easier to handle large amounts of qualitative information. Features often include data visualization, text search, and annotation capabilities, allowing for more structured and efficient analysis. By automating certain aspects of the analysis process, qualitative data analysis software improves accuracy and speeds up research workflows. Overall, this software is essential for researchers looking to analyze complex, narrative-rich data in areas like social sciences, market research, and healthcare. Compare and read user reviews of the best Qualitative Data Analysis software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.

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    Visual Layer

    Visual Layer

    Visual Layer

    Visual Layer is a platform for working with large volumes of image and video data. It supports visual search, filtering, tagging, and dataset structuring across raw files, metadata, and labels. No code is required, and both technical and non-technical teams use it in production. Common applications include curating datasets for machine learning, auditing visual content for compliance, reviewing surveillance material, and preparing media for downstream platforms. The platform detects duplicates, mislabeled items, outliers, and low-quality files to improve data quality before model training or operational decision-making. It is model-agnostic, supports both cloud and on-premise deployment, and is built by the creators of Fastdup, the widely used open-source tool for visual deduplication.
    Starting Price: $200/month
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