Best Scientific Data Management Systems (SDMS) - Page 6

How Many Scientific Data Management Systems (SDMS) Products Does G2 Track?

Total Products under this Category: 106

Category Stats (Oct 2026)

  • Average Rating: 4.52/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Code Ocean (+0.54%) - Among all products in this category, Code Ocean recorded the largest rating increase compared to last month

Last updated: October 01, 2026

How Does G2 Rank Scientific Data Management Systems (SDMS) Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,100+ Authentic Reviews
  • 106+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Scientific Data Management Systems (SDMS)

G2 Grid® for Scientific Data Management Systems (SDMS) plotting products by satisfaction and market presence

Highlighted products: Labguru ELN LIMS, Thermo Scientific SampleManager LIMS Software, SciNote, Dotmatics, STARLIMS, Benchling, Google Genomics, and Genemod.

Underlying data: [Grid® JSON](https://www.g2.com/categories/scientific-data-management-system-sdms/grids.json?focus%5B%5D=labguru-eln-lims&focus%5B%5D=thermo-scientific-samplemanager-lims-software&focus%5B%5D=scinote&focus%5B%5D=dotmatics-dotmatics&focus%5B%5D=starlims&focus%5B%5D=benchling&focus%5B%5D=google-genomics&focus%5B%5D=genemod)

Labfront

Who Is the Company Behind Labfront?

  • Seller: Labfront
  • Year Founded: 2021
  • HQ Location: Boston, US
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

LabSpeed

LabSpeed is designed to access the data stored by various instruments in the laboratory and to integrate the data into one common research, data transfer and reporting environment.

Who Is the Company Behind LabSpeed?

Labstep

More Science. Less Grind. The modern R&D cloud platform designed to uncover the power of real-time data. Why Labstep? ✓ Eliminate retroactive write-up with real-time data capture and analysis ✓ Providing a fundamentally different, user-centric approach that resonates with the market’s current needs - reducing the entry barrier to adoption ✓ Modern interface for the best user experience ✓ Supported by a technology-driven community to accelerate scientific discovery Chosen by researchers across industries such as food tech, alternative protein, agritech, pharma and across 900+ universities. Let us help you effortlessly capture and connect experiments, inventory and device data, all in one place. Check out our "What's New in 2022?" webinar to find out what we have planned for this year: http://help.labstep.com/en/articles/6178375-what-s-new-in-2022-40min

Who Is the Company Behind Labstep?

  • Seller: Labstep Ltd
  • Year Founded: 2013
  • HQ Location: London, GB
  • Twitter: @Labstep
    3,919 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Do G2 Reviewers Say About Labstep?

AI-generated summary from verified user reviews

Cons
  • Users are concerned about unexpected fee changes and fear of data retention as leverage for payment.
  • Users express frustration over data management issues due to unexpected fee changes and data access restrictions.
  • Users express frustration over the expensive fees and unexpected charges tied to Labstep's account changes.
  • Users are frustrated by unexpected transfer issues related to fees and data access, feeling misled and trapped.

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How it works

Laby

Laby is the digitalization solution for your Research & Development Laboratory to accelerate your discoveries. We enable you to track and manage all your R&D activities. Our solution covers both the structuring of projects and the management of inventory, equipment and quality processes. The LABY solution allows teams to work in a collaborative manner, within a secure interface including: - R&D program management - Electronic laboratory notebook - Inventory and equipment monitoring - Bibliography management - Control of the quality documentation - Timesheet entry

Who Is the Company Behind Laby?

  • Seller: KYLI
  • Year Founded: 2019
  • HQ Location: Montpellier, FR
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Laby?

Metabolon

Metabolon’s software solutions empower researchers, clinicians, and scientists to navigate the intricate metabolomics landscape with precision and efficiency. Analyze your data faster with a fully integrated platform and unlock the full potential of your metabolomics data. Metabolon’s software solutions reduce the complexity of data analysis with powerful algorithms, intuitive interfaces, and customizable features to reveal meaningful biological insights within your metabolomics data.

Who Is the Company Behind Metabolon?

  • Seller: Metabolon
  • Year Founded: 2000
  • HQ Location: Morrisville, US
  • Twitter: @metabolon
    2,756 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    225 employees on LinkedIn®

Mimir Systems

Synthesized submission guidelines for impartial tool description Mimir is an AI research tool for materials science that answers technical questions with citations from indexed scientific papers. It retrieves from real literature only, preventing citation hallucination.

Who Is the Company Behind Mimir Systems?

Mira

Mira is an AI scientist platform from Deep Principle for enterprise R&D and academic research. It helps researchers turn fragmented knowledge, conversations, files, data, and tools into a connected project context, then move seamlessly from research and computation to analysis, visualization, data storage, and deliverables. Mira combines project knowledge bases, session files, LLM-powered wikis, memory, specialized scientific skills, multi-agent teams, and long-running task automation to support literature and patent research, reaction prediction, quantum chemistry, molecular property prediction, retrosynthesis, battery simulation, protein structure analysis, and more. By capturing facts, workflows, preferences, and results in one place, Mira helps teams reuse proven methods, reduce repetitive work, maintain research continuity, and build closed-loop workflows that continuously improve the quality and speed of scientific discovery.

Who Is the Company Behind Mira?

myoRESEARCH

Provides all the tools needed for scientific research, as well as preconfigured and ready-to-use report solutions for essential EMG.

Who Is the Company Behind myoRESEARCH?

Novaflow

Who Is the Company Behind Novaflow?

  • Seller: Novaflow
  • Year Founded: 2025
  • HQ Location: San Francisco, California, United States
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

PeakLab

Advanced peak fitting, curve modeling, and signal analysis software for spectroscopy and chromatography.High precision Gaussian, Lorentzian, and Voigt peak fitting with powerful predictive modeling. PeakLab delivers state-of-the-art spectroscopy and chromatography analysis with true Voigt deconvolution, advanced IRF modeling, and next-generation chemometric predictive modeling.

Who Is the Company Behind PeakLab?

Polymerize Connect

Introducing Polymerize Connect: The ultimate solution for chemical R&D. With effective data management and the power to analyze historical data, Polymerize Connect streamlines the research process and provides valuable insights. The quick access to specific pre-performed experiments will save time and resources. Filter through thousands of experiments with ease. Check out some of our features: • Efficient data collection and organization: Good data management helps companies to efficiently collect and organize data from various sources, such as laboratory experiments, production processes, and market research. This allows for easy access to relevant information and reduces the time and resources required for data analysis. • Improved decision-making: By analyzing data from different sources, companies can identify trends and patterns that may not be apparent from individual data points. This can help inform decision-making and improve the chances of success for new product development projects. • Enhanced collaboration: Proper data management can facilitate collaboration between different teams and departments within a company, as well as with external partners. This can help to speed up the development process and improve the quality of new products. • Regulatory compliance: Good data management is also important for meeting regulatory requirements related to new product development. It allows companies to track and document their processes and products to ensure compliance with laws and standards. Our team’s months of hard work, combined with feedback from researchers across various industries, have helped us create a stellar platform that not only speeds up the material development process but also saves researchers precious time and resources. Join us in advancing the field of chemical R&D.

Who Is the Company Behind Polymerize Connect?

QuartzBio

QuartzBio Platform for Sample and Biomarker Data Intelligence QuartzBio's platform delivers end-to-end Sample and Biomarker Intelligence for clinical-stage biopharma teams. Powered by a network of domain-specific AI agents, our solutions transform fragmented data into actionable intelligence, enabling conversational insights into your unified ecosystem of sample, clinical, and biomarker data. QuartzBio's integrated solutions enable autonomous data ingestion and conversational insights, accelerating study close and time-to-market. Key Features: Sample Intelligence Solution • 360° View of Clinical Samples: Gain real-time insights across your entire sample inventory, from collection, consent, processing, and testing to long-term storage. • Streamlined Data Reconciliation: Automate sample reconciliation between EDC and labs, enabling timely corrections for Clinical Operations teams. • Sample Testing Summaries: Centralized view of sample testing status across all assays and testing labs, boosting efficiency for Translational Research teams. Biomarker Intelligence Solution • 360° View of Biomarker Data: Gain real-time insights across the precision medicine data value chain, from data acquisition, to automated quality control, to indexing and mapping. • Unify biomarker data across your enterprise from any source, any type, from various modalities, including omics, imaging, IHC, sample, clinical, and PK data. • Domain-specific Data Visualization Engine: Advanced tools built by life science subject matter experts for visualizing biomarker trends, including heatmaps, Kaplan-Meier plots, oncoprint plots, and more • No-Code Analytics: Domain-specific tools for visualizing biomarker trends and performing exploratory analyses. Run complex exploratory analyses, including differential gene expression, Cox-proportional hazards analyses, and more, without needing data expertise.

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate QuartzBio?

  • Ease of Use: 3.3/10 (Category avg: 8.7/10)

Who Is the Company Behind QuartzBio?

  • Seller: QuartzBio
  • Company Website:
  • Year Founded: 2012
  • HQ Location: N/A
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About QuartzBio?

AI-generated summary from verified user reviews

Pros
  • Users find data accuracy in QuartzBio impressive, appreciating how easy it is to manage files and reports.
  • Users find the ease of uploading and downloading files in QuartzBio to be highly efficient and user-friendly.
Cons
  • Users find the platform's complex organization frustrating, hindering efficient navigation and usability throughout their workflows.
  • Users face data management issues with QuartzBio, as frequent failures and poor organization hinder their experience.
  • Users find difficult navigation a challenge on QuartzBio, often needing assistance to locate essential features and functions.
  • Users find the UX inconsistent, facing issues with navigation and frequent failures that hinder effective use.
Emma Stein
ES
Researched and written by Emma Stein
Updated October 3, 2024