Digital-TwinsRare
Used by 8 of 3.440 companies (0.2%)
enterpriseVerified
Schott
- Location
- Mainz· Rheinland-Pfalz
- Industry
- materials / specialty-glass / iiot
- Founded
- 1884
- Employees
- 500+
Tech-Stack
Tech stack in context
Each entry is benchmarked against all 3.440 companies in the dataset. Rare items first — those are the more interesting choices.
RareUncommonCommonMainstream
MESRare
Used by 28 of 3.440 companies (0.8%)
SAPRare
Used by 64 of 3.440 companies (1.9%)
PythonCommon
Used by 1.317 of 3.440 companies (38.3%)
In context
Comparison data missing for this company — we'll add it on the next research run.
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- Brueggen Gruppe3 shared techsLübeckfoodtech / supply-chainSAPMESPython
- Covestro3 shared techsLeverkusenmaterials / chemtech / digital-manufacturingSAPPythonAIDigital-Twins
- GEDIA Automotive Group3 shared techsRemscheidautomotive-tech / industry-4-0SAPMESIoTPython
- GMH Gruppe3 shared techsOberhausenindustrial-software / steel / iiotSAPMESPythonIoT
- IFA Rotorion3 shared techsMagdeburgautomotive-tech / drivetrainSAPMESPythonIoT
- JTI Germany Trier3 shared techsTriermanufacturing-tech / iiotSAPMESPython
Same location
Local tech ecosystem
- ActiTrexxMainzbiotech / immunotherapy / Treg-cellsWet-LabGMP-Zelltherapie
- CircunomicsMainzClimateTech / Battery Circular Economy / Data IntelligenceBattery-Lifecycle-DatenPythonIoTCloud Platform
- Boehringer Ingelheim DigitalMainzbiotech / pharma / digital-healthPythonPyTorchAzureR
- FinaplusMainzfintech / wealth-as-a-service[JavaKotlinPostgreSQLAWS
- NTA GroupMainzcybersecurity / it-infrastrukturNetwork SecurityIT InfrastructureCommunication Systems
- Werner & MertzMainzchemtech / cleantech / d2cSAPShopifyPython
Consulting on this stack
Working with a similar stack?
We help companies like this build data-driven platforms — from AI research to production deploy.
Reuse & citation
How to cite this dataset
TechPuls is published under CC BY 4.0 — free to use, including commercially, as long as the source is credited. Here is a ready-made line for that.
Citation
Techlogia (2026). TechPuls Germany — Dataset of the German tech landscape. 3,440 companies in 245 cities. Licensed under CC BY 4.0. Available at https://techlogia.de/en/techpuls
BibTeX
@misc{techpuls,
author = {Techlogia},
title = {TechPuls Germany — Dataset of the German tech landscape},
year = {2026},
howpublished = {Online-Datensatz},
note = {CC BY 4.0},
url = {https://techlogia.de/en/techpuls}
}- Data as of
- Machine-readable access
- The same data is available as JSON via the open API — no key, no registration: /api/techpuls/cities
- Licence terms:
- CC BY 4.0