Best Scientific Data Management System (SDMS) Software for Amazon Web Services (AWS)

Find and compare the best Scientific Data Management System (SDMS) software for Amazon Web Services (AWS) in 2026

Use the comparison tool below to compare the top Scientific Data Management System (SDMS) software for Amazon Web Services (AWS) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Uncountable Reviews
    Uncountable assists R&D scientists in moving from projects and spreadsheets to a complete data management system that the entire team can use. The vendor claims that users can create innovative products using the latest predictive technology built on secure, cloud-based infrastructure. The Uncountable platform is an enterprise solution for experiment and lab management. R&D teams can manage all aspects of their lab from the Uncountable Platform, which includes LIMS and ELN functionality.
  • 2
    Seqera Reviews
    Seqera is an innovative bioinformatics platform crafted by the team behind Nextflow, aimed at optimizing and improving the oversight of scientific data analysis workflows. It provides a robust array of tools, such as the Seqera Platform for managing scalable data pipelines, Seqera Pipelines that grant access to a handpicked selection of open-source workflows, Seqera Containers to facilitate container management, and Seqera Studios that create interactive environments for data analysis. The platform is designed to integrate smoothly with a variety of cloud and on-premises systems, promoting reproducibility and compliance within scientific research. Users can incorporate Seqera into their existing infrastructures, including major cloud services like AWS, GCP, and Azure, all without the need for mandatory migrations. This flexibility allows for total control over data residency while enabling global scalability, ensuring that security and performance are never compromised. Furthermore, Seqera empowers researchers to enhance their analytical capabilities while maintaining a seamless operational flow within their established systems.
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