Docs Self-Managed Reference Partner Integrations This is documentation for Self-Managed v23.3, which is no longer supported. To view the latest available version of the docs, see v24.3. Partner Integrations Learn about Redpanda integrations built and supported by our partners. Partner Description More information Bytewax Bytewax is an open source framework and distributed stream processing engine in Python. Enriching streaming data with Bytewax and Redpanda ClickHouse ClickHouse is a high-performance, column-oriented SQL database management system (DBMS) for online analytical processing (OLAP). Building an OLAP database with ClickHouse and Redpanda Conduktor Conduktor provides simple, flexible, and powerful tooling for Kafka developers and infrastructure. Conduktor & Redpanda: Best of breed Kafka experience Decodable Decodable is a real-time data processing platform powered by Apache Flink and Debezium. Decodable + Redpanda ElastiFlow ElastiFlow captures and analyzes flow and SNMP data to provide detailed insights into network performance and security. Leveraging Redpanda for Enhanced Network Observability: ElastiFlow Integration Materialize Materialize is a data warehouse purpose-built for operational workloads where an analytical data warehouse would be too slow, and a stream processor would be too complicated. Ingesting data from Redpanda with Materialize RisingWave RisingWave is a distributed SQL streaming database that enables simple, efficient, and reliable processing of streaming data. Ingesting data from Redpanda with Risingwave Timeplus Timeplus is a stream processor that provides powerful end-to-end capabilities, leveraging the open source streaming engine Proton. Realizing low latency streaming analytics with Timeplus and Redpanda Tinybird Tinybird is a data platform for data and engineering teams to solve complex real-time, operational, and user-facing analytics use cases at any scale. Building a complete IoT backend with Redpanda and Tinybird Quix Quix is a complete platform for building, deploying, and monitoring stream processing pipelines in Python. Integrating Redpanda with Quix This is not an exhaustive list. To add an integration, contribute to this page. Back to top × Simple online edits For simple changes, such as fixing a typo, you can edit the content directly on GitHub. Edit on GitHub Or, open an issue to let us know about something that you want us to change. Open an issue Contribution guide For extensive content updates, or if you prefer to work locally, read our contribution guide . Was this helpful? thumb_up thumb_down group Ask in the community mail Share your feedback group_add Make a contribution Reference Cluster Configuration Properties