Used by 6 of 3.440 companies (0.2%)
Qdrant
- Location
- Berlin· Berlin
- Industry
- AI Infrastructure / Vector DB
- Founded
- 2021
- Employees
- 51-200
- Total funding
- €85.0 Mio
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.
Used by 13 of 3.440 companies (0.4%)
Used by 37 of 3.440 companies (1.1%)
Used by 1.317 of 3.440 companies (38.3%)
In context
Raw numbers say little — here's how Qdrant compares to its industry and city.
More funding than 86% of all companies with reported funding.
Industry median: €85.0 Mio
Similar companies
Similar companies
Similar stack
At least 2 shared technologies
- FlyNex3 shared techsLeipzigsaasPython.NETC#C++
- Jina AI3 shared techsBerlinai / open-source / multimodal-search / embeddingsPythonGoRustPyTorch
- Aqarios2 shared techsMünchenDeeptech / Quantum / SoftwarePythonRustQAOAQiskit
- Bytefabrik.AI2 shared techsKarlsruheai / industrialPythonRustApache KafkaIIoT
- Cognee2 shared techsBerlinAI InfrastructurePythonRustKnowledge GraphsLLM
- DeepL SE2 shared techsKölnAI / NLPPythonPyTorchC++Rust
Same location
Local tech ecosystem
Working with a similar stack?
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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
