Modelwise tech stack
Modelwise builds mostly with Java, SQL, Python, Kotlin. Its stack also includes Apache Kafka, Looker, Spring Boot, Spring Framework. Java is named in 46 of the 119 job postings Modelwise published in the last 12 months (39%). Counted by Alion from the job postings of Modelwise, updated Oct 12, 2026.
What programming languages does Modelwise use?
Java is named in 39% of job postings at Modelwise, followed by SQL (38%), Python (32%), Kotlin (9%).
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What frameworks and libraries does Modelwise use?
Spring Boot is named in 14% of job postings at Modelwise, followed by Spring Framework (12%), React.js (4%), Flink (3%).
What databases does Modelwise use?
PostgreSQL is named in 7% of job postings at Modelwise, followed by Snowflake (6%), MySQL (3%), Apache Iceberg (2%).
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What cloud and platforms does Modelwise use?
Apache Kafka is named in 16% of job postings at Modelwise, followed by Looker (15%), Power BI (8%), Tableau (7%).
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What developer tools does Modelwise use?
dbt is named in 12% of job postings at Modelwise, followed by Rest API (7%), Terraform (3%), Swagger (2%).
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What AI and ML technologies does Modelwise use?
LLM is named in 7% of job postings at Modelwise.
Which engineering practices does Modelwise ask for?
Machine Learning is named in 16% of job postings at Modelwise, followed by CI/CD (13%), AI Agents (4%), Platform Engineering (4%).
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What other technologies does Modelwise use?
Kotlin Coroutines is named in 1% of job postings at Modelwise, followed by Swift Concurrency (1%).
What does each Modelwise team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
39 postingsAnalytics
22 postingsProduct
12 postingsOperations
10 postingsManagement
6 postingsMobile
6 postingsHow does your stack fit Modelwise?
How much does Modelwise pay by technology?
Median stated pay of the postings that name each technology, against the median of all Modelwise postings with stated pay: $152k across 44 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Java | 24 | $147k | −3% |
| SQL | 15 | $152k | 0% |
| Python | 12 | $152k | 0% |
| Spring Boot | 9 | $147k | −3% |
| Apache Kafka | 8 | $147k | −3% |
| Kotlin | 7 | $147k | −3% |
| Spring Framework | 6 | $147k | −3% |
How is the Modelwise 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 Modelwise stack?
Modelwise scores 75 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 Modelwise stack in its industry?
Share of the 1,674 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Modelwise apart
Companies with a stack like Modelwise
Questions about the Modelwise tech stack
What programming languages does Modelwise use?
The languages named in Modelwise job postings are Java (39%), SQL (38%), Python (32%), Kotlin (9%), JavaScript (7%), as a share of the 119 postings of the last 12 months.
Does Modelwise use Spring Boot?
Yes. Spring Boot is named in 17 of 119 job postings (14%) and required in 13 of them.
What cloud and platforms does Modelwise use?
The cloud and platforms named in Modelwise job postings are Apache Kafka (19), Looker (18), Power BI (10) (postings in brackets).
What skills do you need for a Backend job at Modelwise?
Backend postings at Modelwise most often require Java (32), Apache Kafka (13), Spring Framework (13), Spring Boot (12), out of 39 postings in the last 12 months.
Is the Modelwise tech stack changing?
Yes. MVVM, VIPER, Fine-tuning, Braze first appeared in Modelwise job postings in the last six months.
How modern is the Modelwise tech stack?
Modelwise scores 75 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 Modelwise tech stack?
Alion reads every job posting Modelwise publishes and tags the technologies each one names. The figures on this page count the 119 postings of the last 12 months and were updated on Oct 12, 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, "Modelwise tech stack: 92 technologies from 119 job postings", as of Oct 12, 2026. https://alion.io/company/modelwise-gmbh/technologies
