Data Meaning tech stack

Data Meaning builds mostly with SQL, Python. Its stack also includes Power BI, Tableau, Snowflake. SQL is named in 3 of the 3 job postings Data Meaning published in the last 12 months (100%). Counted by Alion from the job postings of Data Meaning, updated Oct 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 14, 2026
Technologies in use
12
Postings analysed
3
Open now
3
Modernity
71 /100

What programming languages does Data Meaning use?

SQL is named in 100% of job postings at Data Meaning, followed by Python (33%).

SQL 3 100% required in 100% · 3 open now · since Oct 2026
Python 1 33% required in 100% · 1 open now · since Oct 2026

What databases does Data Meaning use?

Snowflake is named in 33% of job postings at Data Meaning.

Snowflake 1 33% required in 100% · 1 open now · since Oct 2026

What cloud and platforms does Data Meaning use?

Power BI is named in 67% of job postings at Data Meaning, followed by Tableau (67%), AWS (33%), Airflow (33%).

Power BI 2 67% required in 50% · 2 open now · since Oct 2026
Tableau 2 67% required in 50% · 2 open now · since Oct 2026
AWS 1 33% required in 100% · 1 open now · since Oct 2026
Airflow 1 33% required in 100% · 1 open now · since Oct 2026
SAP BusinessObjects 1 33% required in 100% · 1 open now · since Oct 2026
MicroStrategy 1 33% optional · 1 open now · since Oct 2026

What developer tools does Data Meaning use?

dbt is named in 33% of job postings at Data Meaning.

dbt 1 33% required in 100% · 1 open now · since Oct 2026

Which engineering practices does Data Meaning ask for?

ETL/ELT is named in 67% of job postings at Data Meaning, followed by CI/CD (33%).

ETL/ELT 2 67% required in 50% · 2 open now · since Oct 2026
CI/CD 1 33% required in 100% · 1 open now · since Oct 2026

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How modern is the Data Meaning stack?

Modern 71/100

Data Meaning scores 71 out of 100 (Modern). 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 Data Meaning stack in its industry?

Share of the 418 companies in the same industries, whose stack Alion knows, that use each technology.

SQL68%
Power BI39%
Tableau24%
AWS54%
Airflow12%
MicroStrategy1%
Python71%
SAP BusinessObjects1%
Snowflake32%

Questions about the Data Meaning tech stack

What programming languages does Data Meaning use?

The languages named in Data Meaning job postings are SQL (100%), Python (33%), as a share of the 3 postings of the last 12 months.

Does Data Meaning use Power BI?

Yes. Power BI is named in 2 of 3 job postings (67%) and required in 1 of them.

What cloud and platforms does Data Meaning use?

The cloud and platforms named in Data Meaning job postings are Power BI (2), Tableau (2), AWS (1) (postings in brackets).

Is the Data Meaning tech stack changing?

No new technology has appeared in Data Meaning job postings in the last six months.

How modern is the Data Meaning tech stack?

Data Meaning scores 71 out of 100 (Modern). 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 Data Meaning tech stack?

Alion reads every job posting Data Meaning publishes and tags the technologies each one names. The figures on this page count the 3 postings of the last 12 months and were updated on Oct 14, 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, "Data Meaning tech stack: 12 technologies from 3 job postings", as of Oct 14, 2026. https://alion.io/company/datameaning-com/technologies

Licence: CC BY-SA 4.0JSON