Datahash tech stack
Datahash builds mostly with Python, JavaScript, SQL, Java. Its stack also includes AWS, API Gateway, DynamoDB, Google BigQuery. Python is named in 4 of the 8 job postings Datahash published in the last 12 months (50%). Counted by Alion from the job postings of Datahash, updated Oct 31, 2026.
What programming languages does Datahash use?
Python is named in 50% of job postings at Datahash, followed by JavaScript (38%), SQL (38%), Java (13%).
What frameworks and libraries does Datahash use?
Django is named in 25% of job postings at Datahash, followed by Django REST Framework (25%), OpenAI Agents SDK (13%), Playwright (13%).
What databases does Datahash use?
DynamoDB is named in 25% of job postings at Datahash, followed by Google BigQuery (25%), MySQL (25%), PostgreSQL (25%).
What cloud and platforms does Datahash use?
AWS is named in 50% of job postings at Datahash, followed by API Gateway (25%), AWS Lambda (25%), Amazon ECS (25%).
What developer tools does Datahash use?
Rest API is named in 25% of job postings at Datahash, followed by Jenkins (13%), Model Context Protocol (13%).
What AI and ML technologies does Datahash use?
LLM is named in 25% of job postings at Datahash, followed by Claude (13%).
Which engineering practices does Datahash ask for?
CI/CD is named in 50% of job postings at Datahash, followed by ETL/ELT (13%).
What does each Datahash team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
3 postingsIndustrial Engineering
3 postingsHow does your stack fit Datahash?
How is the Datahash 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 Datahash stack?
Datahash scores 88 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 common is the Datahash stack in its industry?
Share of the 1,578 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Datahash
Questions about the Datahash tech stack
What programming languages does Datahash use?
The languages named in Datahash job postings are Python (50%), JavaScript (38%), SQL (38%), Java (13%), as a share of the 8 postings of the last 12 months.
Does Datahash use Django?
Yes. Django is named in 2 of 8 job postings (25%) and required in 2 of them.
What cloud and platforms does Datahash use?
The cloud and platforms named in Datahash job postings are AWS (4), API Gateway (2), AWS Lambda (2) (postings in brackets).
What skills do you need for a Backend job at Datahash?
Backend postings at Datahash most often require API Gateway (2), AWS (2), AWS Lambda (2), Amazon ECS (2), out of 3 postings in the last 12 months.
Is the Datahash tech stack changing?
Yes. LLM, JavaScript, SQL, Firebase first appeared in Datahash job postings in the last six months.
How modern is the Datahash tech stack?
Datahash scores 88 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 Datahash tech stack?
Alion reads every job posting Datahash 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 Oct 31, 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, "Datahash tech stack: 29 technologies from 8 job postings", as of Oct 31, 2026. https://alion.io/company/datahash/technologies
