What is STACKIT Dremio?
STACKIT Dremio is a fully managed data lakehouse built on the Dremio platform and based on Apache Arrow. The service provides a unified, high-performance SQL interface for data from different sources, regardless of where it resides. It has been in public preview since February 2026 and runs exclusively in German STACKIT data centers.
Core Features
- Separation of compute and storage: Data stays securely in STACKIT Object Storage while compute resources scale independently
- Open formats: Native support for Apache Iceberg and Parquet to avoid lock-in
- Data virtualization: Query across different sources without prior ETL processes
- Reflections: Intelligent, materialized caches accelerate recurring queries
- Query federation: Joint queries across, for example, relational databases and object storage
Typical Use Cases
Data lakehouse: Organizations store raw data in STACKIT Object Storage and run SQL analytics directly on it, without expensive ETL pipelines or data duplication.
Self-service analytics: Business teams access distributed data sources with familiar SQL tools without relying heavily on IT support.
Benefits
- GDPR-compliant, operating exclusively in German data centers
- No lock-in thanks to open table formats such as Iceberg and Parquet
- Cost-efficient since no data movement is required
- Unified billing via STACKIT for software and infrastructure costs planned
Integration with innFactory
As an official STACKIT partner, innFactory supports the introduction of Dremio: connecting data sources, performance optimization with reflections, and integration into existing data platform architectures.
Typical Use Cases
Frequently Asked Questions
What is STACKIT Dremio?
A fully managed data lakehouse based on the Dremio platform. It provides a unified, high-performance SQL interface for data from different sources without requiring the data to be moved first.
Is STACKIT Dremio generally available already?
No, the service was introduced as a public preview in February 2026. Interested users can already test it; STACKIT has not yet communicated a date for general availability (GA).
What data formats and sources are supported?
STACKIT Dremio supports open table formats such as Apache Iceberg and Parquet, as well as queries across different sources such as STACKIT Object Storage and relational databases, without complex ETL processes.
How does performance optimization work?
So-called reflections - intelligent, materialized caches - accelerate recurring queries, allowing BI tools and reports to run with low latency even on large datasets.
Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of STACKIT (official documentation). This page does not represent an offer by STACKIT.
