People Data Labs tech stack
People Data Labs builds mostly with Python, SQL, Go, Rust. Its stack also includes AWS, Airflow, Amazon Redshift, Delta Lake. Python is named in 4 of the 5 job postings People Data Labs published in the last 12 months (80%). Counted by Alion from the job postings of People Data Labs, updated Oct 8, 2026.
What programming languages does People Data Labs use?
Python is named in 80% of job postings at People Data Labs, followed by SQL (80%), Go (40%), Rust (40%).
What frameworks and libraries does People Data Labs use?
Django is named in 20% of job postings at People Data Labs, followed by FastAPI (20%), Flask (20%), Next.js (20%).
What databases does People Data Labs use?
Amazon Redshift is named in 40% of job postings at People Data Labs, followed by Delta Lake (40%), Google BigQuery (40%), Snowflake (40%).
Amazon Redshift
2 40%
Delta Lake
2 40%
Google BigQuery
2 40%
Snowflake
2 40%
MySQL
1 20%
PostgreSQL
1 20%
BigQuery
1 20%
What cloud and platforms does People Data Labs use?
AWS is named in 60% of job postings at People Data Labs, followed by Airflow (40%), Apache Kafka (40%), Linux (40%).
AWS
3 60%
Airflow
2 40%
Apache Kafka
2 40%
Azure
2 40%
Databricks
2 40%
GCP
2 40%
Show all (14)
What developer tools does People Data Labs use?
Rest API is named in 20% of job postings at People Data Labs, followed by Pulumi (20%), Terraform (20%).
Which engineering practices does People Data Labs ask for?
DNS is named in 40% of job postings at People Data Labs, followed by ETL/ELT (40%), IAM (20%).
What does each People Data Labs team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
3 postingsHow does your stack fit People Data Labs?
How modern is the People Data Labs stack?
People Data Labs scores 78 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: 0; legacy ones: 0.
How common is the People Data Labs stack in its industry?
Share of the 235 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like People Data Labs
Questions about the People Data Labs tech stack
What programming languages does People Data Labs use?
The languages named in People Data Labs job postings are Python (80%), SQL (80%), Go (40%), Rust (40%), Node JS (20%), as a share of the 5 postings of the last 12 months.
Does People Data Labs use AWS?
Yes. AWS is named in 3 of 5 job postings (60%) and required in 1 of them.
What cloud and platforms does People Data Labs use?
The cloud and platforms named in People Data Labs job postings are AWS (3), Airflow (2), Apache Kafka (2) (postings in brackets).
What skills do you need for a Backend job at People Data Labs?
Backend postings at People Data Labs most often require Python (3), Airflow (2), Apache Kafka (2), Go (2), out of 3 postings in the last 12 months.
Is the People Data Labs tech stack changing?
No new technology has appeared in People Data Labs job postings in the last six months.
How modern is the People Data Labs tech stack?
People Data Labs scores 78 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: 0; legacy ones: 0.
How does Alion know the People Data Labs tech stack?
Alion reads every job posting People Data Labs publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 8, 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, "People Data Labs tech stack: 40 technologies from 5 job postings", as of Oct 8, 2026. https://alion.io/company/people-data-labs/technologies