Materialize tech stack
Materialize builds mostly with SQL, Python, Go, Java. Its stack also includes AWS, Azure, Snowflake, Flink. SQL is named in 7 of the 7 job postings Materialize published in the last 12 months (100%). Counted by Alion from the job postings of Materialize, updated Oct 1, 2026.
What programming languages does Materialize use?
SQL is named in 100% of job postings at Materialize, followed by Python (43%), Go (29%), Java (14%).
What frameworks and libraries does Materialize use?
Flink is named in 43% of job postings at Materialize.
Flink
3 43%
What databases does Materialize use?
Snowflake is named in 43% of job postings at Materialize, followed by ClickHouse (29%), Amazon Redshift (14%), BigQuery (14%).
Snowflake
3 43%
ClickHouse
2 29%
Amazon Redshift
1 14%
BigQuery
1 14%
Google BigQuery
1 14%
MySQL
1 14%
PostgreSQL
1 14%
What cloud and platforms does Materialize use?
AWS is named in 43% of job postings at Materialize, followed by Azure (43%), GCP (43%), Apache Kafka (43%).
AWS
3 43%
Azure
3 43%
GCP
3 43%
Apache Kafka
3 43%
Spark
3 43%
Databricks
2 29%
Apollo
1 14%
Show all (9)
What developer tools does Materialize use?
Model Context Protocol is named in 14% of job postings at Materialize, followed by dbt (14%).
Model Context Protocol
1 14%
dbt
1 14%
What AI and ML technologies does Materialize use?
LLM is named in 14% of job postings at Materialize.
LLM
1 14%
Which engineering practices does Materialize ask for?
AI Agents is named in 100% of job postings at Materialize, followed by Wi-Fi (14%), SRE (14%).
What does each Materialize team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Product
3 postingsHow does your stack fit Materialize?
How modern is the Materialize stack?
Materialize 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: 1; legacy ones: 0.
How common is the Materialize stack in its industry?
Share of the 73 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Materialize
Questions about the Materialize tech stack
What programming languages does Materialize use?
The languages named in Materialize job postings are SQL (100%), Python (43%), Go (29%), Java (14%), TypeScript (14%), as a share of the 7 postings of the last 12 months.
Does Materialize use Flink?
Yes. Flink is named in 3 of 7 job postings (43%) and required in 3 of them.
What cloud and platforms does Materialize use?
The cloud and platforms named in Materialize job postings are AWS (3), Azure (3), GCP (3) (postings in brackets).
What skills do you need for a Product job at Materialize?
Product postings at Materialize most often require AWS (2), Azure (2), ClickHouse (2), Databricks (2), out of 3 postings in the last 12 months.
Is the Materialize tech stack changing?
No new technology has appeared in Materialize job postings in the last six months.
How modern is the Materialize tech stack?
Materialize 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: 1; legacy ones: 0.
How does Alion know the Materialize tech stack?
Alion reads every job posting Materialize publishes and tags the technologies each one names. The figures on this page count the 7 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, "Materialize tech stack: 28 technologies from 7 job postings", as of Oct 1, 2026. https://alion.io/company/materialize/technologies