ISO 11783]Rare
Used by 1 of 3.440 companies (0.0%)
enterpriseVerified
DKE-Data GmbH & Co. KG
- Location
- Osnabrück· Niedersachsen
- Industry
- agritech / data platform
- Founded
- 2018
- Employees
- 11–50
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
RESTRare
Used by 6 of 3.440 companies (0.2%)
MQTTRare
Used by 8 of 3.440 companies (0.2%)
[JavaRare
Used by 12 of 3.440 companies (0.3%)
KafkaRare
Used by 44 of 3.440 companies (1.3%)
KotlinRare
Used by 58 of 3.440 companies (1.7%)
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
- thingsTHINKING3 shared techsKarlsruheai / nlp / semantic-analysis / enterprise-saas[JavaKotlinPythonSpring Boot
- Chrono242 shared techsKarlsruhee-commerce / marketplace / luxury-watches[Java (Spring)KotlinTypeScriptReact
- DKE-Data GmbH & Co. KG (Marke agrirouter)2 shared techsHannoverAgritech / Data PlatformJavaKotlinKafkaREST/MQTT
- EGYM2 shared techsMünchenHealthtech / Fitness / SaasJavaKotlinSwiftGo
- Finaplus2 shared techsMainzfintech / wealth-as-a-service[JavaKotlinPostgreSQLAWS
- FinLeap2 shared techsBerlinfintech / company-builder / ecosystem[JavaKotlinPythonAWS]
Same location
Local tech ecosystem
- NeoTasteOsnabrückFoodTech / Restaurant-Discovery / Consumer AppiOSAndroidRestaurant-Marketing-PlattformAbo-Modell
- VisioLabOsnabrückretailtech / aiEdge AIComputer VisioniPad-basiertes Checkout
- AltosensOsnabrückiot / industrial-techKraftmessende UnterlegscheibenIoT-SensorikPredictive Maintenance
- Amazonen-Werke (Amazone)Osnabrückagritech / precision-farming / iotEmbeddedIoTISOBUSPython
- doinstructOsnabrückhr-tech / saas / mobile-learning / frontline-workforceTypeScriptReact NativeNode.jsPython
- Greenbone AGOsnabrückcybersecurityOpenVASOpen SourceVulnerability ManagementCloud
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