Dataiku tech stack
Dataiku builds mostly with Python, SQL, JavaScript, Java. Its stack also includes Spark, Kubernetes, Hadoop, Snowflake. Python is named in 14 of the 44 job postings Dataiku published in the last 12 months (32%). Counted by Alion from the job postings of Dataiku, updated Nov 13, 2026.
What programming languages does Dataiku use?
Python is named in 32% of job postings at Dataiku, followed by SQL (18%), JavaScript (16%), Java (16%).
What frameworks and libraries does Dataiku use?
Hadoop is named in 18% of job postings at Dataiku, followed by LangChain (5%), LlamaIndex (5%), PyTorch (5%).
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What databases does Dataiku use?
Snowflake is named in 5% of job postings at Dataiku.
What cloud and platforms does Dataiku use?
Spark is named in 23% of job postings at Dataiku, followed by Kubernetes (20%), AWS (20%), Azure (18%).
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What developer tools does Dataiku use?
pySpark is named in 11% of job postings at Dataiku, followed by Adobe After Effects (2%), Alteryx (2%), Chef (2%).
What AI and ML technologies does Dataiku use?
LLM is named in 5% of job postings at Dataiku, followed by Claude (2%), Gemini (2%), Midjourney (2%).
Which engineering practices does Dataiku ask for?
Machine Learning is named in 100% of job postings at Dataiku, followed by IAM (11%), LLMOps (5%), RAG (5%).
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What does each Dataiku team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Marketing
7 postingsSolutions
6 postingsData Science
5 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 91 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 76 companies in the same industries, whose stack Alion knows, that use each technology.
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 (32%), SQL (18%), JavaScript (16%), Java (16%), TypeScript (2%), as a share of the 44 postings of the last 12 months.
Does Dataiku use Hadoop?
Yes. Hadoop is named in 8 of 44 job postings (18%) and required in 8 of them.
What cloud and platforms does Dataiku use?
The cloud and platforms named in Dataiku job postings are Spark (10), Kubernetes (9), AWS (9) (postings in brackets).
What skills do you need for a Marketing job at Dataiku?
Marketing postings at Dataiku most often require AWS (2), Snowflake (2), out of 7 postings in the last 12 months.
Is the Dataiku tech stack changing?
Yes. LLMOps, RAG, AWS Bedrock, Fine-tuning first appeared in Dataiku job postings in the last six months.
How modern is the Dataiku tech stack?
Dataiku scores 91 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 44 postings of the last 12 months and were updated on Nov 13, 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: 58 technologies from 44 job postings", as of Nov 13, 2026. https://alion.io/company/dataiku/technologies
