Datatonic tech stack
Datatonic builds mostly with Python, SQL, Java. Its stack also includes GCP, AWS, Flask, BigQuery. GCP is named in 21 of the 21 job postings Datatonic published in the last 12 months (100%). Counted by Alion from the job postings of Datatonic, updated Oct 6, 2026.
What programming languages does Datatonic use?
Python is named in 33% of job postings at Datatonic, followed by SQL (24%), Java (10%).
What frameworks and libraries does Datatonic use?
Flask is named in 14% of job postings at Datatonic, followed by Hadoop (10%), Flink (5%), LangGraph (5%).
What databases does Datatonic use?
BigQuery is named in 10% of job postings at Datatonic, followed by Google BigQuery (10%), Firestore (5%), PostgreSQL (5%).
BigQuery 
What cloud and platforms does Datatonic use?
GCP is named in 100% of job postings at Datatonic, followed by AWS (29%), Azure (24%), Spark (10%).
Show all (11)
What developer tools does Datatonic use?
Terraform is named in 14% of job postings at Datatonic, followed by dbt (10%), Pulumi (10%), Google ADK (5%).
What AI and ML technologies does Datatonic use?
Claude is named in 10% of job postings at Datatonic, followed by Gemini (5%), LLM (5%).
Which engineering practices does Datatonic ask for?
Machine Learning is named in 95% of job postings at Datatonic, followed by CI/CD (19%), AI Agents (10%), ETL/ELT (5%).
CI/CD
4 19%
AI Agents
2 10%
Prompt Engineering
1 5%
RAG
1 5%
What does each Datatonic team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
4 postingsHow does your stack fit Datatonic?
How is the Datatonic 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 Datatonic stack?
Datatonic 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: 3; legacy ones: 0.
How common is the Datatonic stack in its industry?
Share of the 3,130 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Datatonic
Questions about the Datatonic tech stack
What programming languages does Datatonic use?
The languages named in Datatonic job postings are Python (33%), SQL (24%), Java (10%), as a share of the 21 postings of the last 12 months.
Does Datatonic use Flask?
Yes. Flask is named in 3 of 21 job postings (14%) and required in 3 of them.
What cloud and platforms does Datatonic use?
The cloud and platforms named in Datatonic job postings are GCP (21), AWS (6), Azure (5) (postings in brackets).
What skills do you need for a AI/ML job at Datatonic?
AI/ML postings at Datatonic most often require GCP (4), SQL (4), AWS (3), Azure (3), out of 4 postings in the last 12 months.
Is the Datatonic tech stack changing?
Yes. Claude, Java, SQL, CI/CD first appeared in Datatonic job postings in the last six months.
How modern is the Datatonic tech stack?
Datatonic 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: 3; legacy ones: 0.
How does Alion know the Datatonic tech stack?
Alion reads every job posting Datatonic publishes and tags the technologies each one names. The figures on this page count the 21 postings of the last 12 months and were updated on Oct 6, 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, "Datatonic tech stack: 42 technologies from 21 job postings", as of Oct 6, 2026. https://alion.io/company/datatonic/technologies