MBRDNA tech stack
MBRDNA builds mostly with Python, SQL, Kotlin, MATLAB. Its stack also includes Azure, Spark, Delta Lake, FastAPI. Python is named in 4 of the 7 job postings MBRDNA published in the last 12 months (57%). Counted by Alion from the job postings of MBRDNA, updated Sep 30, 2026.
What programming languages does MBRDNA use?
Python is named in 57% of job postings at MBRDNA, followed by SQL (29%), Kotlin (14%), MATLAB (14%).
What frameworks and libraries does MBRDNA use?
FastAPI is named in 29% of job postings at MBRDNA, followed by NumPy (14%), Scikit-learn (14%), FAISS (14%).
FastAPI
2 29%
NumPy
1 14%
Scikit-learn
1 14%
FAISS
1 14%
PyTorch
1 14%
TensorFlow
1 14%
pgvector
1 14%
What databases does MBRDNA use?
Delta Lake is named in 29% of job postings at MBRDNA, followed by DuckDB (14%), Pinecone (14%), PostgreSQL (14%).
What cloud and platforms does MBRDNA use?
Azure is named in 29% of job postings at MBRDNA, followed by Spark (29%), AWS (29%), GCP (29%).
Azure
2 29%
Spark
2 29%
AWS
2 29%
GCP
2 29%
Android SDK
1 14%
Databricks
1 14%
MLFlow
1 14%
Show all (9)
What developer tools does MBRDNA use?
Git is named in 29% of job postings at MBRDNA, followed by pySpark (29%), Gradle (14%), Simulink (14%).
What AI and ML technologies does MBRDNA use?
LLM is named in 29% of job postings at MBRDNA, followed by VLM (14%).
Which engineering practices does MBRDNA ask for?
CI/CD is named in 29% of job postings at MBRDNA, followed by Machine Learning (29%), Multimodal AI (29%), Time Series Forecasting (29%).
CI/CD
2 29%
Multimodal AI
2 29%
Time Series Forecasting
2 29%
Embeddings
1 14%
Semantic Search
1 14%
Show all (18)
How does your stack fit MBRDNA?
How is the MBRDNA stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the MBRDNA stack?
MBRDNA scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
Companies with a stack like MBRDNA
Satori Analytics
40 shared technologies
Orcapod Consulting Services
37 shared technologies
Lancesoft India Pvt Ltd
38 shared technologies
Amazon.jobs
37 shared technologies
Novartis
37 shared technologies
Solvd
37 shared technologies
Hatch IT
37 shared technologies
Torc Robotics
37 shared technologies
Questions about the MBRDNA tech stack
What programming languages does MBRDNA use?
The languages named in MBRDNA job postings are Python (57%), SQL (29%), Kotlin (14%), MATLAB (14%), C++ (14%), as a share of the 7 postings of the last 12 months.
Does MBRDNA use FastAPI?
Yes. FastAPI is named in 2 of 7 job postings (29%) and required in 1 of them.
What cloud and platforms does MBRDNA use?
The cloud and platforms named in MBRDNA job postings are Azure (2), Spark (2), AWS (2) (postings in brackets).
Is the MBRDNA tech stack changing?
Yes. Multimodal AI, Delta Lake, Git, LLM first appeared in MBRDNA job postings in the last six months.
How modern is the MBRDNA tech stack?
MBRDNA scores 82 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 2; legacy ones: 0.
How does Alion know the MBRDNA tech stack?
Alion reads every job posting MBRDNA publishes and tags the technologies each one names. The figures on this page count the 7 postings of the last 12 months and were updated on Sep 30, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "MBRDNA tech stack: 52 technologies from 7 job postings", as of Sep 30, 2026. https://alion.io/company/mbrdna/technologies