STACKIT Intake enables high-volume real-time data ingestion for STACKIT data services. The service is based on Apache Kafka and offers native integration with STACKIT Object Storage and the Iceberg table format for modern Data Lakehouse architectures.
Features
- Apache Kafka Base: Proven, high-throughput event streaming
- Iceberg Integration: Native support for the Apache Iceberg table format
- Object Storage Connectivity: Direct writes to STACKIT Object Storage
- Schema Registry: Management of data formats and versions
- Fully Managed: No Kafka cluster operations required
Typical Use Cases
Data Lakehouse Ingestion: Intake serves as the ingestion layer in a modern Data Lakehouse architecture: data flows through Kafka into Iceberg tables on Object Storage.
IoT and Telemetry: Device data, sensor readings, and application logs are captured at high volume in real time and made available for downstream analytics.
Benefits
- GDPR-compliant: All data streams in German data centers
- Open Standards: Apache Kafka and Apache Iceberg as industry standards
- Seamless Integration: Direct connectivity to Dremio, Workflows, and Object Storage
- Scalable: Processing millions of events per second
Integration with innFactory
As an official STACKIT partner, innFactory supports you in designing real-time data pipelines: from Kafka configuration and Iceberg schema design to integration with downstream analytics services.
