MindBridge Analytics tech stack
MindBridge Analytics builds mostly with Python, SQL, JavaScript, TypeScript. Its stack also includes CUDA Toolkit, Azure, Apache Iceberg, Delta Lake. Python is named in 5 of the 5 job postings MindBridge Analytics published in the last 12 months (100%). Counted by Alion from the job postings of MindBridge Analytics, updated Oct 10, 2026.
What programming languages does MindBridge Analytics use?
Python is named in 100% of job postings at MindBridge Analytics, followed by SQL (40%), JavaScript (40%), TypeScript (20%).
What frameworks and libraries does MindBridge Analytics use?
CUDA is named in 20% of job postings at MindBridge Analytics, followed by PyTorch (20%), Transformers (20%), React.js (20%).
What databases does MindBridge Analytics use?
Apache Iceberg is named in 20% of job postings at MindBridge Analytics, followed by Delta Lake (20%), Snowflake (20%).
What cloud and platforms does MindBridge Analytics use?
CUDA Toolkit is named in 20% of job postings at MindBridge Analytics, followed by Azure (20%), Databricks (20%), Kubernetes (20%).
What developer tools does MindBridge Analytics use?
Microsoft Excel is named in 20% of job postings at MindBridge Analytics, followed by Azure Data Factory (20%).
What AI and ML technologies does MindBridge Analytics use?
LLM is named in 40% of job postings at MindBridge Analytics.
Which engineering practices does MindBridge Analytics ask for?
CI/CD is named in 40% of job postings at MindBridge Analytics, followed by ETL/ELT (40%), Machine Learning (40%), RAG (40%).
Show all (12)
What does each MindBridge Analytics team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
3 postingsHow does your stack fit MindBridge Analytics?
How modern is the MindBridge Analytics stack?
MindBridge Analytics scores 76 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: 1; legacy ones: 0.
Companies with a stack like MindBridge Analytics
Questions about the MindBridge Analytics tech stack
What programming languages does MindBridge Analytics use?
The languages named in MindBridge Analytics job postings are Python (100%), SQL (40%), JavaScript (40%), TypeScript (20%), Java (20%), as a share of the 5 postings of the last 12 months.
What cloud and platforms does MindBridge Analytics use?
The cloud and platforms named in MindBridge Analytics job postings are CUDA Toolkit (1), Azure (1), Databricks (1) (postings in brackets).
What skills do you need for a Data Science job at MindBridge Analytics?
Data Science postings at MindBridge Analytics most often require Python (3), SQL (2), out of 3 postings in the last 12 months.
Is the MindBridge Analytics tech stack changing?
No new technology has appeared in MindBridge Analytics job postings in the last six months.
How modern is the MindBridge Analytics tech stack?
MindBridge Analytics scores 76 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: 1; legacy ones: 0.
How does Alion know the MindBridge Analytics tech stack?
Alion reads every job posting MindBridge Analytics publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 10, 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, "MindBridge Analytics tech stack: 34 technologies from 5 job postings", as of Oct 10, 2026. https://alion.io/company/mindbridge-analytics/technologies
