Best Scientific Data Management System (SDMS) Software for PostgreSQL

Compare the Top Scientific Data Management System (SDMS) Software that integrates with PostgreSQL as of October 2025

This a list of Scientific Data Management System (SDMS) software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.

What is Scientific Data Management System (SDMS) Software for PostgreSQL?

Scientific data management systems (SDMS) are systems that manage all data related to a scientific lab, and include components such as data storage, data cataloging, document management, and more. Scientific data management systems can integrate with laboratory information management systems (LIMS) and electronic lab notebooks (ELN). Compare and read user reviews of the best Scientific Data Management System (SDMS) software for PostgreSQL currently available using the table below. This list is updated regularly.

  • 1
    Scispot

    Scispot

    Scispot

    Scispot powers life science labs with a unified LabOS™ platform, combining ELN, LIMS, SDMS, QMS, and AI in one configurable, no-code system. Built for CROs, Molecular Diagnostics, Pathology, Pharma QC, and Drug Discovery, Scispot streamlines sample management, inventory automation, and regulatory compliance. Connect with 200+ lab instruments and thousands of apps to eliminate data silos while maintaining FDA 21 CFR Part 11, GxP, GDPR, and HIPAA compliance. Scispot's AI tools transform experimental data into actionable insights, with flexible workflows that adapt as research evolves—without IT support. Trusted by 1000+ scientists globally, Scispot enables rapid deployment so teams focus on science, not administration. Accelerate discoveries, ensure compliance, and scale operations with a platform purpose-built for modern biotech innovation.
  • 2
    ScienceDesk

    ScienceDesk

    ScienceDesk

    ScienceDesk data automation demystifies the use of artificial intelligence in materials sciences. A practical tool for your team to add and apply the newest AI algorithms on an everyday basis. Customizable properties, universal identifiers, QR-codes and a powerful textual-numeric search engine that links sample and experimental data. ScienceDesk is an innovative platform for scientists and engineers to interact with, collaborate on and obtain insights into their experimental data. Unfortunately, the potential of this asset is not fully exploited due to the variety of data formats and the strong dependence on experts to manually extract specific information. The ScienceDesk research data management system solves this problem by combining documentation and data analysis in a cleverly-engineered data structure. Researchers and scientists are empowered by our algorithms to gain total control of their data. They can not only share datasets, but even the analysis know-how.
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