Gnivc tech stack
Gnivc builds mostly with SQL, Python, Java, C#. Its stack also includes PostgreSQL, Apache Kafka, Linux, ClickHouse. SQL is named in 37 of the 54 job postings Gnivc published in the last 12 months (69%). Counted by Alion from the job postings of Gnivc, updated Oct 1, 2026.
What programming languages does Gnivc use?
SQL is named in 69% of job postings at Gnivc, followed by Python (20%), Java (11%), C# (7%).
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What frameworks and libraries does Gnivc use?
Hadoop is named in 13% of job postings at Gnivc, followed by PyTorch (7%), Transformers (7%), Hibernate (6%).
Hadoop
7 13%
PyTorch
4 7%
Transformers
4 7%
Hibernate
3 6%
Spring Framework
3 6%
FastAPI
2 4%
JUnit
2 4%
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What databases does Gnivc use?
PostgreSQL is named in 46% of job postings at Gnivc, followed by ClickHouse (17%), MS SQL (7%), ElasticSearch (6%).
PostgreSQL
25 46%
ClickHouse
9 17%
MS SQL
4 7%
ElasticSearch
3 6%
OpenSearch
2 4%
Oracle
2 4%
HBase
1 2%
What cloud and platforms does Gnivc use?
Apache Kafka is named in 33% of job postings at Gnivc, followed by Linux (22%), Grafana (13%), Kubernetes (9%).
Apache Kafka
18 33%
Grafana
7 13%
Kubernetes
5 9%
.NET
4 7%
Figma
3 6%
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What developer tools does Gnivc use?
Rest API is named in 26% of job postings at Gnivc, followed by Git (19%), Docker (13%), Microsoft Excel (9%).
Rest API
14 26%
Git
10 19%
Docker
7 13%
ONNX
4 7%
Prometheus
3 6%
HashiCorp Vault
3 6%
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What AI and ML technologies does Gnivc use?
BERT is named in 7% of job postings at Gnivc, followed by LLM (2%).
Which engineering practices does Gnivc ask for?
ETL/ELT is named in 17% of job postings at Gnivc, followed by SLI/SLO/SLA (9%), Anomaly Detection (7%), Fine-tuning (7%).
SLI/SLO/SLA
5 9%
Anomaly Detection
4 7%
Fine-tuning
4 7%
NLP
4 7%
Quantization
4 7%
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What does each Gnivc team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Analytics
14 postingsBackend
10 postingsProduct
10 postingsQA
5 postingsAI/ML
4 postingsHow does your stack fit Gnivc?
How modern is the Gnivc stack?
Gnivc 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: 2; legacy ones: 0.
How common is the Gnivc stack in its industry?
Share of the 162 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Gnivc apart
Companies with a stack like Gnivc
Questions about the Gnivc tech stack
What programming languages does Gnivc use?
The languages named in Gnivc job postings are SQL (69%), Python (20%), Java (11%), C# (7%), PowerShell (6%), as a share of the 54 postings of the last 12 months.
Does Gnivc use Hadoop?
Yes. Hadoop is named in 7 of 54 job postings (13%) and required in 5 of them.
What cloud and platforms does Gnivc use?
The cloud and platforms named in Gnivc job postings are Apache Kafka (18), Linux (12), Grafana (7) (postings in brackets).
What skills do you need for a Analytics job at Gnivc?
Analytics postings at Gnivc most often require SQL (14), Rest API (8), Apache Kafka (6), PostgreSQL (6), out of 14 postings in the last 12 months.
Is the Gnivc tech stack changing?
No new technology has appeared in Gnivc job postings in the last six months.
How modern is the Gnivc tech stack?
Gnivc 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: 2; legacy ones: 0.
How does Alion know the Gnivc tech stack?
Alion reads every job posting Gnivc publishes and tags the technologies each one names. The figures on this page count the 54 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, "Gnivc tech stack: 106 technologies from 54 job postings", as of Oct 1, 2026. https://alion.io/company/gnivc/technologies