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STACKIT Dremio - Sovereign Data Lakehouse

STACKIT Dremio: managed data lakehouse based on Dremio for SQL queries without data movement. GDPR-compliant, public preview.

Data & AI
Pricing Model Public preview; unified billing via STACKIT for software and infrastructure planned
Availability German STACKIT data centers
Data Sovereignty GDPR-compliant, German data centers
Reliability SLA as published by the provider; the service is currently in public preview SLA

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, Delta Lake, 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
  • Security: Connect your identity provider via OIDC with fine-grained access control at the row and column level
  • Dedicated compute resources: Separately orderable engines in several sizes (STACKIT 2XS to STACKIT L) alongside the central Dremio Coordinator

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

Data lakehouse on STACKIT Object Storage
SQL queries across distributed data sources (object storage, relational databases)
Analytics without data movement (data virtualization)
Self-service analytics for business teams

Technical Specifications

Compute Dremio Coordinator (fixed: 14 vCPUs, 64 GB RAM, not configurable) and separately orderable engines in sizes STACKIT 2XS to STACKIT L (7-28 vCPUs, 28-112 GB RAM depending on size)
Connectors Native connectors for S3-compatible object storage, relational databases, and NoSQL sources
Formats Open table formats: Apache Iceberg and Delta Lake, plus Parquet
Roles Administration via the ADMIN role (since August 26, 2026 the successor to the previous CUSTOMER_ADMIN role)
Security Connect your identity provider via OIDC with fine-grained access control at the row and column level

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.

What changed with compute resources?

Since August 26, 2026, new dedicated engine sizes (STACKIT 2XS through STACKIT L) are available to order. Older engine configurations without the 'STACKIT' prefix, as well as the small 4 GB RAM engine size, stopped working from that date and must be migrated. At the same time, the previous CUSTOMER_ADMIN role was replaced by a new ADMIN role, with existing users migrated automatically.

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.

STACKIT Partner

innFactory is an official STACKIT Partner. We provide consulting, implementation, and managed services for the sovereign cloud.

STACKIT Official Partner

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