Treasure Data tech stack
Treasure Data builds mostly with Ruby, Python, TypeScript, Java. Its stack also includes AWS, GCP, Google BigQuery, Trino. LLM is named in 11 of the 25 job postings Treasure Data published in the last 12 months (44%). Counted by Alion from the job postings of Treasure Data, updated Oct 1, 2026.
What programming languages does Treasure Data use?
Ruby is named in 32% of job postings at Treasure Data, followed by Python (24%), TypeScript (20%), Java (20%).
What frameworks and libraries does Treasure Data use?
NumPy is named in 12% of job postings at Treasure Data, followed by PyTorch (12%), React.js (12%), Scikit-learn (12%).
NumPy
3 12%
PyTorch
3 12%
React.js
3 12%
Scikit-learn
3 12%
Pandas
2 8%
Ruby on Rails
2 8%
AutoGen
1 4%
CrewAI
1 4%
Show all (10)
What databases does Treasure Data use?
Google BigQuery is named in 12% of job postings at Treasure Data, followed by Trino (12%), Snowflake (8%), Amazon Redshift (8%).
Google BigQuery
3 12%
Trino
3 12%
Snowflake
2 8%
Amazon Redshift
2 8%
BigQuery
1 4%
Cassandra
1 4%
MySQL
1 4%
What cloud and platforms does Treasure Data use?
AWS is named in 40% of job postings at Treasure Data, followed by GCP (16%), Azure (12%), GitHub (12%).
AWS
10 40%
GCP
4 16%
Azure
3 12%
GitHub
3 12%
Databricks
2 8%
GitHub Actions
2 8%
Spark
2 8%
Amazon EC2
1 4%
Show all (13)
What developer tools does Treasure Data use?
Claude Code is named in 28% of job postings at Treasure Data, followed by Copilot (12%), OpenAI Codex (8%), Terraform (8%).
Claude Code
7 28%
Copilot
3 12%
Terraform
2 8%
ArgoCD
1 4%
CircleCI
1 4%
Cursor
1 4%
Git
1 4%
Show all (13)
What AI and ML technologies does Treasure Data use?
LLM is named in 44% of job postings at Treasure Data, followed by Claude (20%), ChatGPT (4%), Gemini (4%).
Which engineering practices does Treasure Data ask for?
AI Agents is named in 60% of job postings at Treasure Data, followed by Machine Learning (20%), RAG (16%), Prompt Engineering (16%).
AI Agents
15 60%
RAG
4 16%
Prompt Engineering
4 16%
CI/CD
3 12%
Function Calling
3 12%
Fine-tuning
2 8%
Show all (17)
What does each Treasure Data team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
6 postingsBackend
6 postingsProduct
3 postingsHow does your stack fit Treasure Data?
How is the Treasure Data 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 Treasure Data stack?
Treasure Data 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 Treasure Data stack in its industry?
Share of the 147 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Treasure Data
Questions about the Treasure Data tech stack
What programming languages does Treasure Data use?
The languages named in Treasure Data job postings are Ruby (32%), Python (24%), TypeScript (20%), Java (20%), Kotlin (20%), as a share of the 25 postings of the last 12 months.
Does Treasure Data use NumPy?
Yes. NumPy is named in 3 of 25 job postings (12%) and required in 3 of them.
What cloud and platforms does Treasure Data use?
The cloud and platforms named in Treasure Data job postings are AWS (10), GCP (4), Azure (3) (postings in brackets).
What skills do you need for a AI/ML job at Treasure Data?
AI/ML postings at Treasure Data most often require AWS (3), LLM (3), NumPy (3), PyTorch (3), out of 6 postings in the last 12 months.
Is the Treasure Data tech stack changing?
Yes. OpenAI Codex, RAG, Prompt Engineering, Copilot first appeared in Treasure Data job postings in the last six months.
How modern is the Treasure Data tech stack?
Treasure Data 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 Treasure Data tech stack?
Alion reads every job posting Treasure Data publishes and tags the technologies each one names. The figures on this page count the 25 postings of the last 12 months and were updated on Oct 1, 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, "Treasure Data tech stack: 72 technologies from 25 job postings", as of Oct 1, 2026. https://alion.io/company/treasure-data/technologies