We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Data Management Software.
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Data Management Software Product List and Ranking from 26 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Jul 15, 2026~Aug 11, 2026
This ranking is based on the number of page views on our site.

Data Management Software Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Jul 15, 2026~Aug 11, 2026
This ranking is based on the number of page views on our site.

  1. サーモフィッシャーサイエンティフィック株式会社/Thermo Fisher Scientific K.K. Tokyo//Testing, Analysis and Measurement
  2. セントラル科学 Tokyo//Trading company/Wholesale
  3. 日本ウォーターズ(米国本社 Waters Corporation)  Tokyo//Testing, Analysis and Measurement
  4. 4 null/null
  5. 5 null/null

Data Management Software Product ranking

Last Updated: Aggregation Period:Jul 15, 2026~Aug 11, 2026
This ranking is based on the number of page views on our site.

  1. Chromeleon Chromatography Data System (CDS) サーモフィッシャーサイエンティフィック株式会社/Thermo Fisher Scientific K.K.
  2. Sievers TOC Measurement Data Management Software セントラル科学
  3. Sharing and Utilizing Research Assets - NuGenesis SDMS 日本ウォーターズ(米国本社 Waters Corporation) 
  4. 4 Genedata Selector
  5. 5 Data management software "ElcoMaster"

Data Management Software Product List

31~47 item / All 47 items

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CloudTables

Angular, React, Svelte, Vue, etc.! Providing client-side components.

"CloudTables" is a product that builds on the foundations of DataTables and Editor, making CRUD development easier. It provides a web interface for the Generator, allowing you to define datasets (essentially database tables). The difference from the Generator is that the configuration is retained, allowing for future modifications. Additionally, instead of downloading the generated code, both the database and code are hosted, enabling you to embed a dynamic dataset into your application with a single script tag. 【Features】 ■ A multi-user system built for concurrency ■ Complete auditing is integrated for both organizational data and its structure ■ Access permissions can be assigned at a granular level ■ Automatically detects popular styling frameworks and matches the output ■ Provides a complete read/write API for accessing data *For more details, please refer to the related links or feel free to contact us.

  • Company:B7
  • Price:Other
  • Other operation management software
  • Data Management Software

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Reduce the burden of inspection tasks for precision machinery! DX methods to start from today.

A system suitable for creating Excel record sheets for specification confirmation from drawing data.

In the precision machinery industry, accurate verification of the detailed specifications outlined in drawings is essential to ensure product safety and reliability. In particular, the task of manually transcribing complex design information and specifications related to numerous components into record sheets such as Excel is not only time-consuming and labor-intensive but also carries the risk of human error. These challenges can lead to delays in specification verification and decisions based on incorrect information. Our "DrawingExtractor" addresses these issues by efficiently extracting the necessary textual information from drawing data and automating the transcription process to Excel. 【Usage Scenarios】 - Measurement records - Dimensional inspection records - Material confirmation documents, etc. 【Benefits of Implementation】 - Increased efficiency in specification verification tasks - Reduction of transcription errors - Accelerated verification processes

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Sharing and Utilizing Research Assets - NuGenesis SDMS

Centralized management of all data generated from research and testing operations to promote sharing and utilization.

1. Centralized management of all measurement data NuGenesis SDMS connects with various measuring instruments present in the laboratory and collects all data generated by these instruments. It can connect regardless of the type or manufacturer of the measuring instruments. 2. Centralized management of all records and reports NuGenesis SDMS also collects reports created in tools like Microsoft Excel. 3. Access to data Data collected in NuGenesis SDMS can be accessed from anywhere according to user permissions. It also features electronic approval functionality. 4. Flexible search functions and data utilization NuGenesis SDMS allows searches using various methods such as text, structural formulas, and spectra. Quickly reaching the necessary information leads to effective data utilization. 5. Complete logging Data is logged (audit trail) with information on when and by whom it was generated, which helps in protecting intellectual property.

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Shortening design time through the reuse of automotive design data.

Reuse automotive design data to shorten the period from design to production preparation.

For the automotive sector: We address the challenge of not being able to utilize past design data and having to start design and production preparation from scratch each time with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of seasoned professionals. 【Utilization Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Confirmation of differences during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of seasoned professionals' know-how

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Standardization through the reuse of design data for automotive parts.

Promote parts standardization by reusing automotive parts design data and collaborating with the purchasing department.

For automotive parts: We address the challenge of not being able to reduce costs due to the ongoing need to purchase and design similar parts anew each time, without progressing towards part standardization, through the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checking of requirements according to design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of design quality variability and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Standardization through the reuse of design data for aircraft components.

Promote the standardization of parts in collaboration with the purchasing department by reusing design data for aircraft components.

For aircraft components: We address the challenge of not being able to reduce costs due to the continuous purchase and design of similar parts from scratch, which hinders part standardization, by utilizing the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the use of skilled workers' know-how

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[LOGS Implementation Case] Karlsruhe Chemical and Veterinary Investigation Office

Introducing a case that significantly reduced the time required for organizing spectral data!

We would like to introduce a case where our product 'LOGS' was implemented at the Karlsruhe Chemical and Veterinary Investigation Office. Before the implementation, it took several months to organize data for analysis, and as the number of search criteria increased, the time required for data organization, such as sorting data, grew exponentially. After the implementation, data could be automatically uploaded without the need for human intervention, and sample and project information could also be automatically linked, significantly reducing the time required for these tasks. [Challenges] ■ Spent several months organizing data for analysis ■ Finding the necessary NMR spectra using related metadata was a very complicated process *For more details, please download the PDF or feel free to contact us.

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3D Measurement Machine EXCEL Report Creation 'i-Report'

Insert measurement results directly into the EXCEL template!

The i-Report can collect data files from measuring instruments and output them to an EXCEL template. It has a compact design and operates on standard office PCs. 【Are you facing these issues?】 ■ The formats differ by manufacturer, making it impossible to consolidate data from measuring instruments. ■ Different EXCEL templates are required for each submission destination, leading to time-consuming data transcription. ■ Forms change frequently, so a fixed report automation system cannot accommodate them. ■ While data is retained, searching through past data takes time. ■ EXCEL files are scattered, and I want to manage them in a database but lack the knowledge. Born from the voices of many measuring instrument users, i-Report provides a "just right semi-automated" solution for a small number of diverse report forms.

  • 3D measuring device
  • Data Logger
  • Recorders
  • Data Management Software

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Reducing the burden of inspection tasks in the automotive industry! DX methods to start today.

A system suitable for creating Excel data recording sheets from drawing data.

In the automotive industry's design verification process, it is required to accurately and quickly transcribe information from drawings to recording sheets. Particularly in the creation of parts lists and dimension inspection records, manual transcription errors and time losses can lead to delays in the overall verification work. In response to these challenges, our "Drawing Extractor" significantly reduces cumbersome tasks by efficiently extracting and transcribing specified text information from drawing data to Excel, contributing to improved accuracy and speed in design verification operations. 【Usage Scenarios】 - Creation of measurement records - Creation of dimension inspection records - Creation of material confirmation documents 【Benefits of Implementation】 - Time savings through improved efficiency of transcription work - Reduction of manual transcription errors - Centralized data management and promotion of utilization

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Shortening design time through the reuse of aircraft component design data.

Reuse of aircraft component design data to shorten the period from design to production preparation.

For aircraft parts: We address the challenge of being unable to utilize past design data and having to start design and production preparation from scratch each time by using the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing you to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that were previously reliant on the experience of skilled workers. [Utilization Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements in accordance with design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development periods through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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  • Data Management Software

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Utilization of 3D CAD data design knowledge for railway vehicle parts.

Transform dormant 3D CAD data into a knowledge asset that can be used for design decisions in railway vehicle components.

For railway vehicle parts: We will solve the issue of scattered 3D CAD data among individuals and departments, which hinders the reuse of past designs, with the 3D CAD data utilization feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing you to quickly search for the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse verification tasks that were previously reliant on the experience of skilled workers. 【Usage Scenarios】 ■ Fast search for past similar design cases ■ Automatic checks of requirements according to design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Passing on design know-how to new personnel 【Implementation Effects】 ■ Reduction of variation in design quality and promotion of standardization ■ Shortening of development time by reducing design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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Standardization through the reuse of design data for construction machinery parts.

Promote the standardization of parts in collaboration with the purchasing department by reusing design data for construction machinery parts.

For construction machinery parts: We face the challenge of not being able to reduce costs due to the need to purchase and design similar parts anew each time, which hinders the standardization of parts. This issue can be resolved with the design data reuse feature of blooplinter. 'blooplinter' is a knowledge utilization tool that links design know-how and past examples to 3D CAD data, allowing users to quickly find the necessary information. It manages past drawings, design decisions, trouble cases, and check items alongside 3D shapes, enabling anyone to reuse the verification tasks that relied on the experience of skilled workers. [Usage Scenarios] ■ Fast search for past similar design cases ■ Automatic checks of requirements according to design standards ■ Difference confirmation during design changes ■ Sharing of trouble cases and prevention of recurrence ■ Transmission of design know-how to new personnel [Implementation Effects] ■ Reduction of variability in design quality and promotion of standardization ■ Shortening of development time through reduction of design and verification man-hours ■ Continuous sharing and promotion of the utilization of skilled workers' know-how

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  • Data Management Software

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[Market Report] Scientific Data Management System (SDMS) Market

The global market for Scientific Data Management Systems (SDMS) is rapidly expanding and is projected to reach 1.94 billion USD by 2031.

The global Scientific Data Management System (SDMS) market is poised for exceptional growth in the coming years, supported by the increasing importance of efficient data handling and analysis in the scientific and research fields. In 2022, the market recorded revenues of 72.41 million USD, and this trajectory is set to soar to unprecedented heights. By 2031, the global SDMS market is expected to achieve an astounding revenue of 1.94 billion USD, with a remarkable compound annual growth rate (CAGR) of 44.1% projected during the forecast period from 2023 to 2031. Scientific research across various domains heavily relies on the collection, management, analysis, and interpretation of data. The SDMS market is not only expanding but also rapidly evolving to meet the multifaceted needs of the scientific community. For application methods, please check the [PDF download] button or apply directly through the related links.

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