Acceldata tech stack
Acceldata builds mostly with Java, Scala, Python, Go. Its stack also includes Kubernetes, Apache Kafka, Hadoop, Trino. Kubernetes is named in 18 of the 29 job postings Acceldata published in the last 12 months (62%). Counted by Alion from the job postings of Acceldata, updated Sep 29, 2026.
What programming languages does Acceldata use?
Java is named in 48% of job postings at Acceldata, followed by Scala (45%), Python (41%), Go (7%).
Show all (9)
What frameworks and libraries does Acceldata use?
Hadoop is named in 55% of job postings at Acceldata, followed by Flink (24%), Angular (3%), Hibernate (3%).
What databases does Acceldata use?
Trino is named in 34% of job postings at Acceldata, followed by ClickHouse (14%), PostgreSQL (14%), Snowflake (14%).
Trino
10 34%
ClickHouse
4 14%
PostgreSQL
4 14%
Snowflake
4 14%
Apache Iceberg
4 14%
MariaDB
3 10%
MySQL
3 10%
Oracle
3 10%
Show all (13)
What cloud and platforms does Acceldata use?
Kubernetes is named in 62% of job postings at Acceldata, followed by Apache Kafka (59%), Spark (52%), Linux (31%).
Kubernetes
18 62%
Apache Kafka
17 59%
Spark
15 52%
AWS
6 21%
Azure
6 21%
GCP
6 21%
Airflow
5 17%
Show all (18)
What developer tools does Acceldata use?
Apache NiFi is named in 24% of job postings at Acceldata, followed by ZooKeeper (14%), Docker (14%), Gradle (14%).
ZooKeeper
4 14%
Docker
4 14%
Gradle
4 14%
Maven
4 14%
Show all (9)
What AI and ML technologies does Acceldata use?
LLM is named in 7% of job postings at Acceldata.
LLM
2 7%
Which engineering practices does Acceldata ask for?
DNS is named in 10% of job postings at Acceldata, followed by ETL/ELT (10%), Feature Store (7%), CI/CD (7%).
CI/CD
2 7%
Platform Engineering
1 3%
SLI/SLO/SLA
1 3%
What does each Acceldata team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
8 postingsSolutions
7 postingsDevOps
3 postingsHow does your stack fit Acceldata?
How much does Acceldata pay by technology?
Median stated pay of the postings that name each technology, against the median of all Acceldata postings with stated pay: $180k across 17 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| Kubernetes | 13 | $160k | −11% |
| Apache Kafka | 10 | $165k | −8% |
| Spark | 10 | $165k | −8% |
| Java | 9 | $127k | −29% |
| Scala | 9 | $127k | −29% |
| Python | 9 | $127k | −29% |
| Hadoop | 8 | $154k | −14% |
| Trino | 7 | $160k | −11% |
| Linux | 6 | $138k | −23% |
| AWS | 5 | $239k | +33% |
How is the Acceldata 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 Acceldata stack?
Acceldata 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 Acceldata stack in its industry?
Share of the 24 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Acceldata apart
Companies with a stack like Acceldata
Questions about the Acceldata tech stack
What programming languages does Acceldata use?
The languages named in Acceldata job postings are Java (48%), Scala (45%), Python (41%), Go (7%), SQL (7%), as a share of the 29 postings of the last 12 months.
Does Acceldata use Hadoop?
Yes. Hadoop is named in 16 of 29 job postings (55%) and required in 15 of them.
What cloud and platforms does Acceldata use?
The cloud and platforms named in Acceldata job postings are Kubernetes (18), Apache Kafka (17), Spark (15) (postings in brackets).
What skills do you need for a Backend job at Acceldata?
Backend postings at Acceldata most often require Java (8), Python (7), Scala (7), Apache Kafka (6), out of 8 postings in the last 12 months.
Is the Acceldata tech stack changing?
Yes. HBase, Airflow, ClickHouse, ZooKeeper first appeared in Acceldata job postings in the last six months.
How modern is the Acceldata tech stack?
Acceldata 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 Acceldata tech stack?
Alion reads every job posting Acceldata publishes and tags the technologies each one names. The figures on this page count the 29 postings of the last 12 months and were updated on Sep 29, 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, "Acceldata tech stack: 64 technologies from 29 job postings", as of Sep 29, 2026. https://alion.io/company/acceldata/technologies