Swish Analytics tech stack
Swish Analytics builds mostly with Python, SQL, Rust, Go. Its stack also includes AWS, Apache Kafka, MySQL. Python is named in 6 of the 6 job postings Swish Analytics published in the last 12 months (100%). Counted by Alion from the job postings of Swish Analytics, updated Oct 25, 2026.
What programming languages does Swish Analytics use?
Python is named in 100% of job postings at Swish Analytics, followed by SQL (83%), Rust (50%), Go (17%).
What databases does Swish Analytics use?
MySQL is named in 17% of job postings at Swish Analytics.
MySQL
1 17%
What cloud and platforms does Swish Analytics use?
AWS is named in 50% of job postings at Swish Analytics, followed by Apache Kafka (33%), GitHub (33%), Kubernetes (33%).
What developer tools does Swish Analytics use?
Docker is named in 17% of job postings at Swish Analytics.
Docker
1 17%
Which engineering practices does Swish Analytics ask for?
CI/CD is named in 67% of job postings at Swish Analytics, followed by Machine Learning (67%), ETL/ELT (17%), Time Series (17%).
Time Series What does each Swish Analytics team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
3 postingsHow does your stack fit Swish Analytics?
How is the Swish Analytics 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 Swish Analytics stack?
Swish Analytics scores 80 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.
Companies with a stack like Swish Analytics
Questions about the Swish Analytics tech stack
What programming languages does Swish Analytics use?
The languages named in Swish Analytics job postings are Python (100%), SQL (83%), Rust (50%), Go (17%), Node JS (17%), as a share of the 6 postings of the last 12 months.
Does Swish Analytics use AWS?
Yes. AWS is named in 3 of 6 job postings (50%) and required in 3 of them.
What cloud and platforms does Swish Analytics use?
The cloud and platforms named in Swish Analytics job postings are AWS (3), Apache Kafka (2), GitHub (2) (postings in brackets).
What skills do you need for a Data Science job at Swish Analytics?
Data Science postings at Swish Analytics most often require AWS (3), Python (3), SQL (3), GitHub (2), out of 3 postings in the last 12 months.
Is the Swish Analytics tech stack changing?
Yes. Apache Kafka first appeared in Swish Analytics job postings in the last six months.
How modern is the Swish Analytics tech stack?
Swish Analytics scores 80 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 Swish Analytics tech stack?
Alion reads every job posting Swish Analytics publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 25, 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, "Swish Analytics tech stack: 17 technologies from 6 job postings", as of Oct 25, 2026. https://alion.io/company/swishanalytics-2/technologies