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Overview
Stackable is a Berlin data infrastructure company founded in 2020 that assembles open source data tools into one platform. Its distribution runs Kafka, Spark, Trino and related components on Kubernetes without vendor lock-in. The company works with public sector and enterprise customers that require open technology stacks.
News
Stackable Data Platform (SDP) Release 26.7
We're introducing Stackable Data Platform 26.7 - a different release built entirely on what usually gets postponed: the flaky test everyone works around, the CI pipeline that should be more resilient, the code we always meant to clean up. There was always
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Stackable Data Platform (SDP) Release 26.3
We're excited to introduce Stackable Data Platform 26.3 - a release packed with powerful new capabilities, significant product upgrades, and meaningful platform improvements across the board. This release adds generic object overrides across the entire pl
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Stackable Data Platform (SDP) Release 25.11
We're excited to introduce Stackable Data Platform 25.11, a release focused on expanding your data platform's capabilities with new features, enhanced security, and improved observability. This version brings experimental support for OpenSearch 3.1.0, ena
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Between Open Source and Cybersecurity: Stackable Celebrates 5th Anniversary
Wedel, 30.09.2025. Stackable, the provider of a globally used open-source data platform, is celebrating its 5th birthday. On September 30, 2020, in the midst of the coronavirus lockdown, Lars Francke and Sönke Liebau founded the company. Among other event
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Technologies
Tech DNA
Kafka
OpenSearch
Trino
AI/ML
Airflow
Spark
Kafka
OpenSearch
Trino
GitHub
Kubernetes
Other
Apache Kafka
Discord
Reddit
Stack modernity
72/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Spark
1 job
Required
Airflow
1 job
Required
Kubernetes
1 job
Required
Apache Kafka
1 job
Required
OpenSearch
1 job
Required
Trino
1 job
Required
GitHub
1 job
Required
Discord
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Kubernetes
15%
GitHub
11%
Apache Kafka
10%
Spark
9%
Kafka
6%
Airflow
4%
Share of companies in the same industry that use each technology.
Stack changes
Trino
Sep 2026
Spark
Sep 2026
Reddit
Sep 2026
OpenSearch
Sep 2026
Kubernetes
Sep 2026
Kafka
Sep 2026
GitHub
Sep 2026
Discord
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
38/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
ATS activity
Every ~3 hours
09/06/2026
Hiring Dynamics
0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Product
100% ▼
Activity Timeline
Added Trino to stack
Sep 2026
Added Spark to stack
Sep 2026
Added Reddit to stack
Sep 2026
Added OpenSearch to stack
Sep 2026
Added Kubernetes to stack
Sep 2026
Added Kafka to stack
Sep 2026
Added GitHub to stack
Sep 2026
Added Discord to stack
Sep 2026
Added Apache Kafka to stack
Sep 2026
Added Airflow to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
0
Countries
1
Berlin
Germany
HQ
Jobs
Technical Solutions Engineer – Data Platform (Pre-Sales & Customer Success)
Verified live · 1 day ago 6 months agoRemote • Full-Time
Apache Kafka
Kafka
OpenSearch
Trino
AI/ML
Airflow
Spark
DevOps
GitHub
Kubernetes
Management
Discord
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