Materialplus tech stack
Materialplus builds mostly with Python, SQL, Java, SPSS. Its stack also includes AWS, Figma, PostgreSQL, Snowflake. Python is named in 4 of the 8 job postings Materialplus published in the last 12 months (50%). Counted by Alion from the job postings of Materialplus, updated Sep 30, 2026.
What programming languages does Materialplus use?
Python is named in 50% of job postings at Materialplus, followed by SQL (25%), Java (13%), SPSS (13%).
What frameworks and libraries does Materialplus use?
AutoGen is named in 13% of job postings at Materialplus, followed by CrewAI (13%), FastAPI (13%), Flask (13%).
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What databases does Materialplus use?
PostgreSQL is named in 25% of job postings at Materialplus, followed by Snowflake (25%), BigQuery (13%), Google BigQuery (13%).
What cloud and platforms does Materialplus use?
AWS is named in 38% of job postings at Materialplus, followed by Figma (25%), Kubernetes (25%), Power BI (25%).
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What developer tools does Materialplus use?
Git is named in 25% of job postings at Materialplus, followed by Rest API (25%), AWS Glue (13%), Apache Tomcat (13%).
What AI and ML technologies does Materialplus use?
Gemini is named in 25% of job postings at Materialplus, followed by ChatGPT (13%), Claude (13%), LLM (13%).
Which engineering practices does Materialplus ask for?
AI Agents is named in 25% of job postings at Materialplus, followed by CI/CD (25%), Machine Learning (25%), A/B Testing (13%).
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How does your stack fit Materialplus?
How modern is the Materialplus stack?
Materialplus scores 89 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: 6; legacy ones: 0.
How common is the Materialplus stack in its industry?
Share of the 1,201 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Materialplus
Questions about the Materialplus tech stack
What programming languages does Materialplus use?
The languages named in Materialplus job postings are Python (50%), SQL (25%), Java (13%), SPSS (13%), Scala (13%), as a share of the 8 postings of the last 12 months.
Does Materialplus use AWS?
Yes. AWS is named in 3 of 8 job postings (38%) and required in 3 of them.
What cloud and platforms does Materialplus use?
The cloud and platforms named in Materialplus job postings are AWS (3), Figma (2), Kubernetes (2) (postings in brackets).
Is the Materialplus tech stack changing?
No new technology has appeared in Materialplus job postings in the last six months.
How modern is the Materialplus tech stack?
Materialplus scores 89 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: 6; legacy ones: 0.
How does Alion know the Materialplus tech stack?
Alion reads every job posting Materialplus publishes and tags the technologies each one names. The figures on this page count the 8 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, "Materialplus tech stack: 78 technologies from 8 job postings", as of Sep 30, 2026. https://alion.io/company/materialplus/technologies
