Boost high-throughput processing with a KaTe adapter optimized for scale
Connect SAP Integration Suite iFlows with Apache Kafka by Confluent for high-volume event exchange, parallel throughput, and per-key ordering or unordered batching for low latency. Publish and consume so SAP processes react near real time without custom consumers. Integrate Schema Registry for Confluent Platform and Avro, Protobuf, or JSON to XML conversion to keep contracts and formats consistent, cutting mapping effort and risk.
By KaTe GmbH
Overview
Increase Kafka throughput in SAP Integration Suite
Boost SAP Integration Suite iFlows and reduce overhead with parallel Kafka consumption, optional per-key ordering, and batching so multiple records run in one iFlow execution. Reach 10 to 500 times higher throughput than partition-bound consumers without adding partitions, while keeping events ordered. Control filtering (such as header, key, payload), concurrency, retries, and commits/acks, and map Kafka keys, headers, and payload to iFlows
Improve Kafka-to-SAP payload reliability with Kafka Schema Registry validation
Keep Kafka and SAP messages reliable by enforcing schema payloads (Avro, Protobuf, or JSON via Kafka Schema Registry), generating and validating schemas, and enabling Avro, Protobuf, or JSON to XML conversion so iFlows process events without brittle mappings. Secure broker and registry access with SSL, SASL, OAuth 2.0, and client certificates, and surface deserialization issues to speed troubleshooting and stop events reaching SAP.
Reduce operational effort within SAP Integration Suite control and observability
Operate Kafka directly in SAP Integration Suite by replaying events from a chosen point, controlling consumer group behavior, and reprocessing safely with deduplication so business workflows recover quickly after incidents. Reduce the load on SAP and downstream systems, speed up root-cause analysis, and minimize downtime through selective filtering, end-to-end record traceability, and consumer-lag visibility in both channel and message logs.
Details
Solution type
APIs and Technical Components
Industry
Cross-Industry
Compatibility
Works with
SAP Integration Suite
Features
Parallelize Kafka consumption by record key to increase throughput
It enables key-based, or unordered, parallel processing to maximize throughput while maintaining ordering per key. It supports batching, configurable acknowledgements, and commit behavior, plus key and header mapping, so iFlows can process events efficiently within SAP Integration Suite.
Control offsets, filtering, and reprocessing in iFlows to simplify operation
Manage Kafka consumption in SAP Integration Suite by starting from any offset, setting consumer group names, filtering records by headers, keys, or payload, tuning worker threads, and reprocessing ranges. Add deduplication and detailed logging to improve traceability and control in the SAP runtime.
Convert and validate payloads with Kafka Schema Registry support
The solution supports Avro, Protobuf, and JSON with Schema Registry integration and generation, including Avro, Protobuf, or JSON to XML conversion for SAP Integration Suite. It adds secure connectivity options and surfaces serialization and transformation errors with retry and dead-letter handling.
Plans and pricing
Free Trial
In the free trial, you can test all features like in the commercial version
For 30 DaysFree- Maximum contract 30 days
In the free trial, you can test all features like in the commercial version
Extended Edition
Subscription for SAP Integration Suite, edge integration cell. Pricing will vary based on the number of edge integration cells used.
Price upon requestSubscription for SAP Integration Suite, edge integration cell. Pricing will vary based on the number of edge integration cells used.
Standard Edition
Subscription for SAP Integration Suite. Pricing will vary based on the number of productive SAP Integration Suite.
Price unavailable in this region- Minimum contract 1 year
Subscription for SAP Integration Suite. Pricing will vary based on the number of productive SAP Integration Suite.
Technical Information
| Solution type | APIs and Technical Components |
| Category | Integration |
| Industry | Cross-Industry |
| Works with |
SAP Integration Suite |
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
| Deployment |
|
| Globalization |
|
| Operations |
|
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
| Security |
|
| Compliance |
|
| Privacy policy |
SAP's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner. |
Resources
Confluent Parallel Consumer Adapter for SAP Integration Suite
KaTe Confluent Parallel Consumer Adapter for SAP Integration Suite in action
Maximizing Data Throughput in SAP Landscapes: The KaTe Confluent Parallel Consumer Adapter for SAP Integration Suite
Publisher
KaTe GmbH
KaTe GmbH is a specialized company focused on integrating SAP systems with external platforms. With many years of experience, we develop software products and provide consulting services for building, extending, and operating SAP integration landscapes. Our portfolio includes specialized SAP adapters that enable simple and reliable connectivity with third-party platforms such as AMQP, AWS, Azure, GCP, GraphQL, Confluent, Kafka, MQTT, RESTful APIs, and Salesforce. In addition, KaTe offers IntegraMon, a central monitoring solution for SAP Integration Suite and Edge Integration Cell. IntegraMon provides multi-tenant visibility, search across integration data, proactive alerts, reporting, and archiving, helping customers improve transparency, reduce troubleshooting effort, and operate SAP integrations more efficiently.
