ProQuest tech stack
ProQuest builds mostly with Python, SQL, Java, TypeScript. Its stack also includes AWS, Azure, PostgreSQL, Spring Boot. AWS is named in 35 of the 96 job postings ProQuest published in the last 12 months (36%). Counted by Alion from the job postings of ProQuest, updated Sep 27, 2026.
What programming languages does ProQuest use?
Python is named in 26% of job postings at ProQuest, followed by SQL (22%), Java (19%), TypeScript (15%).
Python
25 26%
SQL
21 22%
Java
18 19%
TypeScript
14 15%
JavaScript
14 15%
PowerShell
9 9%
Node JS
6 6%
Bash
5 5%
Show all (12)
What frameworks and libraries does ProQuest use?
Spring Boot is named in 11% of job postings at ProQuest, followed by Angular (10%), FAISS (4%), JUnit (3%).
Show all (24)
What databases does ProQuest use?
PostgreSQL is named in 13% of job postings at ProQuest, followed by Snowflake (6%), ElasticSearch (6%), Oracle (5%).
PostgreSQL
12 13%
Snowflake
6 6%
ElasticSearch
6 6%
Oracle
5 5%
Pinecone
4 4%
Weaviate
4 4%
Delta Lake
3 3%
MySQL
3 3%
Show all (18)
What cloud and platforms does ProQuest use?
AWS is named in 36% of job postings at ProQuest, followed by Azure (29%), Power BI (18%), GCP (11%).
AWS
35 36%
Azure
28 29%
Power BI
17 18%
GCP
11 11%
GitHub Actions
8 8%
Databricks
8 8%
Show all (59)
And 19 more, each named in fewer postings.
What developer tools does ProQuest use?
Microsoft Excel is named in 16% of job postings at ProQuest, followed by Jenkins (13%), Docker (8%), Rest API (8%).
Jenkins
12 13%
Docker
8 8%
Rest API
8 8%
Git
7 7%
Terraform
6 6%
Copilot
5 5%
Show all (30)
What AI and ML technologies does ProQuest use?
LLM is named in 6% of job postings at ProQuest, followed by ChatGPT (1%), Claude (1%).
Which engineering practices does ProQuest ask for?
CI/CD is named in 26% of job postings at ProQuest, followed by AI Agents (8%), RAG (8%), ETL/ELT (7%).
CI/CD
25 26%
AI Agents
8 8%
RAG
8 8%
SLI/SLO/SLA
6 6%
Prompt Engineering
5 5%
Embeddings
4 4%
Show all (37)
What does each ProQuest team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
15 postingsFinance
14 postingsAnalytics
12 postingsDevOps
8 postingsProduct
8 postingsSolutions
7 postingsHow does your stack fit ProQuest?
How is the ProQuest 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 ProQuest stack?
ProQuest scores 83 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: 3; legacy ones: 0.
Companies with a stack like ProQuest
Mitsubishi UFJ Financial Group
151 shared technologies
Minfy Technologies
130 shared technologies
Unisys Corporation
135 shared technologies
FIS
157 shared technologies
PricewaterhouseCoopers
145 shared technologies
Brillio
159 shared technologies
Version 1
132 shared technologies
Depository Trust & Clearing Corporation
132 shared technologies
Questions about the ProQuest tech stack
What programming languages does ProQuest use?
The languages named in ProQuest job postings are Python (26%), SQL (22%), Java (19%), TypeScript (15%), JavaScript (15%), as a share of the 96 postings of the last 12 months.
Does ProQuest use Spring Boot?
Yes. Spring Boot is named in 11 of 96 job postings (11%) and required in 11 of them.
What cloud and platforms does ProQuest use?
The cloud and platforms named in ProQuest job postings are AWS (35), Azure (28), Power BI (17) (postings in brackets).
What skills do you need for a Backend job at ProQuest?
Backend postings at ProQuest most often require AWS (12), Java (10), Spring Boot (8), Angular (7), out of 15 postings in the last 12 months.
Is the ProQuest tech stack changing?
Yes. Playwright, Selenium, API Gateway, Alteryx first appeared in ProQuest job postings in the last six months.
How modern is the ProQuest tech stack?
ProQuest scores 83 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: 3; legacy ones: 0.
How does Alion know the ProQuest tech stack?
Alion reads every job posting ProQuest publishes and tags the technologies each one names. The figures on this page count the 96 postings of the last 12 months and were updated on Sep 27, 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, "ProQuest tech stack: 183 technologies from 96 job postings", as of Sep 27, 2026. https://alion.io/company/proquest/technologies