Apache Celeborn

Apache Celeborn is a remote shuffle service (data processing infrastructure) designed to offload shuffle operations from distributed data processing engines and improve stability and efficiency for large-scale jobs.

• Remote shuffle service for distributed data processing engines (data processing infrastructure)
• Decouples compute and storage for shuffle data to reduce disk and memory pressure on cluster nodes (distributed systems architecture)
• Provides fault-tolerant and scalable shuffle management with dedicated shuffle servers (cluster resource management)
• Supports integration with Apache Spark and Apache Flink for externalized shuffle handling (big data processing)
• Offers pluggable deployment at cluster level for centralized shuffle control and observability (operations and observability)

More About Apache Celeborn

Apache Celeborn is a remote shuffle service (data processing infrastructure) that externalizes shuffle operations for distributed data processing engines, with a focus on large-scale batch and streaming workloads. In distributed data processing, shuffle refers to the redistribution of intermediate data between tasks across a cluster, which places load on disks, network, and memory. Celeborn moves this responsibility from compute workers to a separate layer of shuffle servers so that compute resources concentrate on task execution while a dedicated service handles shuffle data lifecycle.

The core capability of Apache Celeborn is remote shuffle management (data movement and storage). Compute engines such as Apache Spark and Apache Flink write shuffle data to Celeborn instead of local disks on executors or task managers. Celeborn maintains shuffle data on shuffle servers, coordinates data partitioning and replication, and serves data reads for downstream tasks. This design reduces local disk usage and garbage on compute nodes and can limit data skew and hotspot issues by distributing shuffle data across multiple servers.

From an architectural perspective, Celeborn introduces a dedicated service layer (distributed systems architecture) composed of shuffle servers and coordination components. Shuffle servers store intermediate data and respond to read and write requests from processing engines. Coordination components track metadata such as shuffle partitions, locations, and states. The system is deployable as a shared service for one or more compute clusters, which allows centralized configuration for shuffle behavior, resource allocation, and monitoring.

In enterprise environments, Apache Celeborn is used to support large-scale data processing platforms (big data infrastructure) that rely on Apache Spark or Apache Flink. By externalizing shuffle, platform teams can isolate shuffle-induced instability such as executor disk exhaustion, large local directories, or uneven resource utilization. Centralized shuffle servers can be scaled independently of compute clusters, which supports capacity planning and operational management. This separation also enables more predictable performance for multi-tenant workloads where multiple applications share the same underlying hardware.

Celeborn’s interoperability centers on its integration with Apache Spark and Apache Flink (big data processing frameworks), where it is configured as an external shuffle manager or plugin. These integrations allow applications written for those engines to use Celeborn without application-level changes, relying instead on cluster configuration and deployment choices. The project fits into categories such as data processing infrastructure, remote shuffle service, and cluster resource offload, and is relevant for organizations that operate large Spark or Flink clusters and seek externalized shuffle management with centralized operational control.