Cognite tech stack
Cognite builds mostly with Python, SQL, Java, Kotlin. Its stack also includes Azure, GCP, PostgreSQL, Google BigQuery. Python is named in 55 of the 88 job postings Cognite published in the last 12 months (63%). Counted by Alion from the job postings of Cognite, updated Nov 11, 2026.
What programming languages does Cognite use?
Python is named in 63% of job postings at Cognite, followed by SQL (36%), Java (33%), Kotlin (16%).
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What frameworks and libraries does Cognite use?
Hadoop is named in 10% of job postings at Cognite, followed by FastAPI (9%), Plotly (7%), PyTorch (7%).
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What databases does Cognite use?
PostgreSQL is named in 11% of job postings at Cognite, followed by Google BigQuery (10%), ElasticSearch (8%), Redis (7%).
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What cloud and platforms does Cognite use?
Azure is named in 61% of job postings at Cognite, followed by GCP (51%), AWS (47%), Kubernetes (33%).
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What developer tools does Cognite use?
Rest API is named in 30% of job postings at Cognite, followed by Git (20%), Docker (13%), gRPC (8%).
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What AI and ML technologies does Cognite use?
LLM is named in 9% of job postings at Cognite, followed by Claude (3%), GPT-4 (1%).
Which engineering practices does Cognite ask for?
AI Agents is named in 91% of job postings at Cognite, followed by Machine Learning (34%), CI/CD (27%), Knowledge Graph (18%).
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What does each Cognite team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
20 postingsBackend
16 postingsSolutions
13 postingsSales
12 postingsAI/ML
5 postingsHow does your stack fit Cognite?
How is the Cognite 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 Cognite stack?
Cognite scores 85 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 Cognite stack in its industry?
Share of the 777 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Cognite apart
Companies with a stack like Cognite
Questions about the Cognite tech stack
What programming languages does Cognite use?
The languages named in Cognite job postings are Python (63%), SQL (36%), Java (33%), Kotlin (16%), TypeScript (15%), as a share of the 88 postings of the last 12 months.
Does Cognite use Hadoop?
Yes. Hadoop is named in 9 of 88 job postings (10%) and required in 9 of them.
What cloud and platforms does Cognite use?
The cloud and platforms named in Cognite job postings are Azure (54), GCP (45), AWS (41) (postings in brackets).
What skills do you need for a Data Science job at Cognite?
Data Science postings at Cognite most often require Python (20), SQL (20), Azure (13), GCP (13), out of 20 postings in the last 12 months.
Is the Cognite tech stack changing?
Yes. Flask, Django, Human-in-the-Loop, Claude first appeared in Cognite job postings in the last six months.
How modern is the Cognite tech stack?
Cognite scores 85 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 Cognite tech stack?
Alion reads every job posting Cognite publishes and tags the technologies each one names. The figures on this page count the 88 postings of the last 12 months and were updated on Nov 11, 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, "Cognite tech stack: 124 technologies from 88 job postings", as of Nov 11, 2026. https://alion.io/company/cognite/technologies
