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Realtime Compute for Apache Flink:Product editions

Last Updated:Mar 06, 2026

Before you purchase Realtime Compute for Apache Flink, you need to understand its service types and features to select an instance that meets your business requirements. This topic describes the differences between the service types, their release statuses, and provides suggestions to help you make a selection.

Form Differences

Product Offerings

Deployment mode

Compute engine

Development platform

Fully managed Flink

Kubernetes container-based deployment

Ververica Runtime (VVR)

Enterprise-level development and O&M platform

Semi-managed Flink/EMR

Note

This refers to a Dataflow cluster on Alibaba Cloud E-MapReduce (EMR). For more information, see Overview of Flink.

Yarn-based deployment

VVR

Custom

Blink dedicated cluster (legacy)

Yarn-based deployment

Blink

Bayes

Release status

Note

For more information about product release statuses, see Lifecycle Policy.

Product Type

Release status

EOM1

EOM2

EOFS

EOS

Fully managed Flink

GA

N/A

N/A

N/A

N/A

Semi-managed Flink/EMR

GA

N/A

N/A

N/A

N/A

Blink dedicated cluster (legacy)

EOM2

April 28, 2021

November 15, 2022

March 30, 2023

July 30, 2023

Selection suggestions

Product offerings

Suggestion

Fully managed Flink

If your company or team wants to focus on business development without spending much time on cluster O&M, use the fully managed Flink product.

Semi-managed Flink/EMR

If your company or team wants full control over cluster resources during business development and is familiar with Yarn or Alibaba Cloud E-MapReduce, use the Semi-managed Flink/EMR product.

Blink dedicated cluster (legacy)

As of April 28, 2021, you can no longer purchase new Blink dedicated clusters (legacy). The product has entered the EOM1 phase. For more information, see Service Notices for Realtime Compute (Blink) (New Purchases Discontinued).

Important

Blink dedicated clusters now only support scale-out or scale-in operations for existing clusters. For new purchases, use fully managed Flink.