Dataiku tech stack
Dataiku builds mostly with Python, JavaScript, SQL, Java. Its stack also includes Spark, Kubernetes, Hadoop, PostgreSQL. Python is named in 14 of the 36 job postings Dataiku published in the last 12 months (39%). Counted by Alion from the job postings of Dataiku, updated Sep 28, 2026.
What programming languages does Dataiku use?
Python is named in 39% of job postings at Dataiku, followed by JavaScript (22%), SQL (22%), Java (17%).
What frameworks and libraries does Dataiku use?
Hadoop is named in 25% of job postings at Dataiku, followed by Streamlit (3%), Angular (3%), Apache ECharts (3%).
Show all (9)
What databases does Dataiku use?
PostgreSQL is named in 3% of job postings at Dataiku.
What cloud and platforms does Dataiku use?
Spark is named in 33% of job postings at Dataiku, followed by Kubernetes (28%), AWS (19%), Azure (19%).
Show all (15)
What developer tools does Dataiku use?
pySpark is named in 17% of job postings at Dataiku, followed by Adobe After Effects (3%), Alteryx (3%), Ansible (3%).
What AI and ML technologies does Dataiku use?
Claude is named in 3% of job postings at Dataiku, followed by Gemini (3%), LLM (3%), Midjourney (3%).
Which engineering practices does Dataiku ask for?
Machine Learning is named in 100% of job postings at Dataiku, followed by IAM (14%), Agentic Workflows (3%), CI/CD (3%).
What does each Dataiku team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
6 postingsSolutions
4 postingsHow does your stack fit Dataiku?
How is the Dataiku 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 Dataiku stack?
Dataiku 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: 4; legacy ones: 0.
How common is the Dataiku stack in its industry?
Share of the 66 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Dataiku apart
Dataiku products in its job postings
Postings at Dataiku name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Dataiku
Questions about the Dataiku tech stack
What programming languages does Dataiku use?
The languages named in Dataiku job postings are Python (39%), JavaScript (22%), SQL (22%), Java (17%), Node JS (3%), as a share of the 36 postings of the last 12 months.
Does Dataiku use Hadoop?
Yes. Hadoop is named in 9 of 36 job postings (25%) and required in 9 of them.
What cloud and platforms does Dataiku use?
The cloud and platforms named in Dataiku job postings are Spark (12), Kubernetes (10), AWS (7) (postings in brackets).
What skills do you need for a Data Science job at Dataiku?
Data Science postings at Dataiku most often require JavaScript (6), Python (6), SQL (6), pySpark (6), out of 6 postings in the last 12 months.
Is the Dataiku tech stack changing?
Yes. Figma, LDAP, Linux, IAM first appeared in Dataiku job postings in the last six months.
How modern is the Dataiku tech stack?
Dataiku 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: 4; legacy ones: 0.
How does Alion know the Dataiku tech stack?
Alion reads every job posting Dataiku publishes and tags the technologies each one names. The figures on this page count the 36 postings of the last 12 months and were updated on Sep 28, 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, "Dataiku tech stack: 50 technologies from 36 job postings", as of Sep 28, 2026. https://alion.io/company/dataiku/technologies
