Goldenanalytics tech stack
Goldenanalytics builds mostly with TypeScript, SQL, JavaScript. Its stack also includes Databricks, Supabase, Google BigQuery, PostgreSQL. TypeScript is named in 3 of the 5 job postings Goldenanalytics published in the last 12 months (60%). Counted by Alion from the job postings of Goldenanalytics, updated Oct 30, 2026.
What programming languages does Goldenanalytics use?
TypeScript is named in 60% of job postings at Goldenanalytics, followed by SQL (40%), JavaScript (20%).
What frameworks and libraries does Goldenanalytics use?
React.js is named in 20% of job postings at Goldenanalytics.
What databases does Goldenanalytics use?
Google BigQuery is named in 40% of job postings at Goldenanalytics, followed by PostgreSQL (40%), Snowflake (40%).
What cloud and platforms does Goldenanalytics use?
Databricks is named in 40% of job postings at Goldenanalytics, followed by Supabase (40%), Vercel (20%).
What developer tools does Goldenanalytics use?
dbt is named in 40% of job postings at Goldenanalytics, followed by Claude Code (20%), Copilot (20%), Cursor (20%).
What does each Goldenanalytics 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 Goldenanalytics?
How modern is the Goldenanalytics stack?
Goldenanalytics scores 79 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 Goldenanalytics stack in its industry?
Share of the 67 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Goldenanalytics
Questions about the Goldenanalytics tech stack
What programming languages does Goldenanalytics use?
The languages named in Goldenanalytics job postings are TypeScript (60%), SQL (40%), JavaScript (20%), as a share of the 5 postings of the last 12 months.
Does Goldenanalytics use Databricks?
Yes. Databricks is named in 2 of 5 job postings (40%) and required in 2 of them.
What cloud and platforms does Goldenanalytics use?
The cloud and platforms named in Goldenanalytics job postings are Databricks (2), Supabase (2), Vercel (1) (postings in brackets).
What skills do you need for a Backend job at Goldenanalytics?
Backend postings at Goldenanalytics most often require TypeScript (3), PostgreSQL (2), Supabase (2), out of 3 postings in the last 12 months.
Is the Goldenanalytics tech stack changing?
No new technology has appeared in Goldenanalytics job postings in the last six months.
How modern is the Goldenanalytics tech stack?
Goldenanalytics scores 79 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 Goldenanalytics tech stack?
Alion reads every job posting Goldenanalytics 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 30, 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, "Goldenanalytics tech stack: 15 technologies from 5 job postings", as of Oct 30, 2026. https://alion.io/company/goldenanalytics/technologies
