MQTT]Rare
Used by 2 of 3.440 companies (0.1%)
startupVerified
Eco2Grow
- Location
- Köln· Nordrhein-Westfalen
- Industry
- cleantech (PV/Batterie-Management für KMU)
- Founded
- 2023
- Employees
- 1-10
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
GrafanaRare
Used by 3 of 3.440 companies (0.1%)
TimescaleDBRare
Used by 6 of 3.440 companies (0.2%)
GoRare
Used by 80 of 3.440 companies (2.3%)
[PythonRare
Used by 83 of 3.440 companies (2.4%)
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
- United Manufacturing Hub3 shared techsKölnIndustrial-Iot / data-platform (Open Source)GoPythonKafkaTimescaleDB
- Aedifion2 shared techsKölnproptech / iot / smart-building / energy-saas[PythonGoInfluxDBKubernetes
- CloudRadar2 shared techsPotsdamsaas (IT-Monitoring für MSPs/IT-Professionals)GoPythonReactTimescaleDB
- Enginsight2 shared techsJenacybersecurity / siem / kmu-monitoringGoPythonReactTimescaleDB
- Green Flexibility2 shared techsBerlincleantech / battery-storage / grid-flexibility[PythonGrafanaSCADAEnergy-Trading-Algorithmen]
- Tracks2 shared techsBerlinmobilitytech / ai (Road-Freight-Intelligence)PythonKafkaTimescaleDBReact
Same location
Local tech ecosystem
- DeepL SEKölnAI / NLPPythonPyTorchC++Rust
- 1NCEKölniot / connectivity / global-simGoPythonKubernetesAWS
- Sastrify GmbHKölnsaas / procurementReactNode.jsPythonCloud
- Spot My EnergyKölnEnergy / GreenTech / Strommarkt-OptimierungEnergy-Trading-APIsPythonCloudDynamic Pricing Algorithmen
- kyp.aiKölnai / process-intelligence / workforce-analytics[PythonC#AWSReact
- EternalKölnsustainability/carbonPythonCloudBlockchainCarbon Credits
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