DataBeat tech stack
DataBeat builds mostly with Python, JavaScript, SQL, Apex. Its stack also includes GitHub Actions, GitLab CI, PostgreSQL, Appium. Python is named in 7 of the 13 job postings DataBeat published in the last 12 months (54%). Counted by Alion from the job postings of DataBeat, updated Sep 27, 2026.
What programming languages does DataBeat use?
Python is named in 54% of job postings at DataBeat, followed by JavaScript (46%), SQL (46%), Apex (15%).
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What frameworks and libraries does DataBeat use?
Appium is named in 31% of job postings at DataBeat, followed by Cypress (31%), Playwright (31%), Rest-Assured (31%).
What databases does DataBeat use?
PostgreSQL is named in 31% of job postings at DataBeat, followed by Redis (23%), MySQL (15%), BigQuery (15%).
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What cloud and platforms does DataBeat use?
GitHub Actions is named in 38% of job postings at DataBeat, followed by GitLab CI (31%), Postman (31%), AWS (31%).
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What developer tools does DataBeat use?
Jenkins is named in 46% of job postings at DataBeat, followed by Git (15%), Rest API (15%), Swagger (15%).
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What AI and ML technologies does DataBeat use?
ChatGPT is named in 8% of job postings at DataBeat, followed by Claude (8%), LLM (8%).
Which engineering practices does DataBeat ask for?
CI/CD is named in 69% of job postings at DataBeat, followed by AI Agents (15%), Dimensional Modeling (15%), ETL/ELT (15%).
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What does each DataBeat team work with?
The technologies each team's postings require most often, with the number of postings that require them.
QA
3 postingsHow does your stack fit DataBeat?
How is the DataBeat 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 DataBeat stack?
DataBeat scores 84 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 common is the DataBeat stack in its industry?
Share of the 238 companies in the same industries, whose stack Alion knows, that use each technology.
What sets DataBeat apart
Companies with a stack like DataBeat
Questions about the DataBeat tech stack
What programming languages does DataBeat use?
The languages named in DataBeat job postings are Python (54%), JavaScript (46%), SQL (46%), Apex (15%), TypeScript (15%), as a share of the 13 postings of the last 12 months.
Does DataBeat use Appium?
Yes. Appium is named in 4 of 13 job postings (31%) and required in 4 of them.
What cloud and platforms does DataBeat use?
The cloud and platforms named in DataBeat job postings are GitHub Actions (5), GitLab CI (4), Postman (4) (postings in brackets).
What skills do you need for a QA job at DataBeat?
QA postings at DataBeat most often require Appium (3), Cypress (3), GitHub Actions (3), GitLab CI (3), out of 3 postings in the last 12 months.
Is the DataBeat tech stack changing?
Yes. MySQL, Shift-Left, Swagger, TypeScript first appeared in DataBeat job postings in the last six months.
How modern is the DataBeat tech stack?
DataBeat scores 84 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 DataBeat tech stack?
Alion reads every job posting DataBeat publishes and tags the technologies each one names. The figures on this page count the 13 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, "DataBeat tech stack: 111 technologies from 13 job postings", as of Sep 27, 2026. https://alion.io/company/databeat/technologies
