- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Instance Management
- Creating Instance
- Naming with Consecutive Numeric Suffixes or Designated Pattern String
- Viewing Instance
- Upgrading Instance
- Downgrading Instance Configuration
- Terminating/Returning Instances
- Change from Pay-as-You-Go to Monthly Subscription
- Upgrading Instance Version
- Adding Routing Policy
- Public Network Bandwidth Management
- Connecting to Prometheus
- AZ Migration
- Setting Maintenance Time
- Setting Message Size
- Topic Management
- Consumer Group
- Monitoring and Alarms
- Smart Ops
- Permission Management
- Tag Management
- Querying Message
- Event Center
- Migration to Cloud
- Data Compression
- Instance Management
- CKafka Connector
- Practical Tutorial
- Practical Tutorial of CKafka Client
- Connector Practical Tutorial
- Connecting Flink to CKafka
- Connecting Schema Registry to CKafka
- Connecting Spark Streaming to CKafka
- Connecting Flume to CKafka
- Connecting Kafka Connect to CKafka
- Connecting Storm to CKafka
- Connecting Logstash to CKafka
- Connecting Filebeat to CKafka
- Multi-AZ Deployment
- Log Access
- Replacing Supportive Route (Old)
- Practice Tutorial for Cluster Bandwidth in High CPU Utilization Scenarios
- Practice Tutorial for Cluster Capacity Planning
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- DataHub APIs
- ACL APIs
- Topic APIs
- BatchModifyGroupOffsets
- BatchModifyTopicAttributes
- CreateConsumer
- CreateDatahubTopic
- CreatePartition
- CreateTopic
- CreateTopicIpWhiteList
- DeleteTopic
- DeleteTopicIpWhiteList
- DescribeDatahubTopic
- DescribeTopic
- DescribeTopicAttributes
- DescribeTopicDetail
- DescribeTopicProduceConnection
- DescribeTopicSubscribeGroup
- FetchMessageByOffset
- FetchMessageListByOffset
- ModifyDatahubTopic
- ModifyTopicAttributes
- DescribeTopicSyncReplica
- Instance APIs
- Route APIs
- Other APIs
- Data Types
- Error Codes
- SDK Documentation
- General References
- Conducting Production and Consumption Pressure Testing on CKafka
- Configuration Guide for Common Parameters in CKafka
- Connecting to Legacy Self-Built Kafka
- Suggestions for CKafka Version Selection
- CKafka Data Reliability Description
- Connector
- FAQs
- Service Level Agreement
- Contact Us
- Glossary
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Instance Management
- Creating Instance
- Naming with Consecutive Numeric Suffixes or Designated Pattern String
- Viewing Instance
- Upgrading Instance
- Downgrading Instance Configuration
- Terminating/Returning Instances
- Change from Pay-as-You-Go to Monthly Subscription
- Upgrading Instance Version
- Adding Routing Policy
- Public Network Bandwidth Management
- Connecting to Prometheus
- AZ Migration
- Setting Maintenance Time
- Setting Message Size
- Topic Management
- Consumer Group
- Monitoring and Alarms
- Smart Ops
- Permission Management
- Tag Management
- Querying Message
- Event Center
- Migration to Cloud
- Data Compression
- Instance Management
- CKafka Connector
- Practical Tutorial
- Practical Tutorial of CKafka Client
- Connector Practical Tutorial
- Connecting Flink to CKafka
- Connecting Schema Registry to CKafka
- Connecting Spark Streaming to CKafka
- Connecting Flume to CKafka
- Connecting Kafka Connect to CKafka
- Connecting Storm to CKafka
- Connecting Logstash to CKafka
- Connecting Filebeat to CKafka
- Multi-AZ Deployment
- Log Access
- Replacing Supportive Route (Old)
- Practice Tutorial for Cluster Bandwidth in High CPU Utilization Scenarios
- Practice Tutorial for Cluster Capacity Planning
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- DataHub APIs
- ACL APIs
- Topic APIs
- BatchModifyGroupOffsets
- BatchModifyTopicAttributes
- CreateConsumer
- CreateDatahubTopic
- CreatePartition
- CreateTopic
- CreateTopicIpWhiteList
- DeleteTopic
- DeleteTopicIpWhiteList
- DescribeDatahubTopic
- DescribeTopic
- DescribeTopicAttributes
- DescribeTopicDetail
- DescribeTopicProduceConnection
- DescribeTopicSubscribeGroup
- FetchMessageByOffset
- FetchMessageListByOffset
- ModifyDatahubTopic
- ModifyTopicAttributes
- DescribeTopicSyncReplica
- Instance APIs
- Route APIs
- Other APIs
- Data Types
- Error Codes
- SDK Documentation
- General References
- Conducting Production and Consumption Pressure Testing on CKafka
- Configuration Guide for Common Parameters in CKafka
- Connecting to Legacy Self-Built Kafka
- Suggestions for CKafka Version Selection
- CKafka Data Reliability Description
- Connector
- FAQs
- Service Level Agreement
- Contact Us
- Glossary
This document describes the compatibility of CKafka with open-source Kafka and helps you select a CKafka version that is more suitable for your business according to your business needs.
Overview
Open-Source Kafka has about 20 versions ranging from v0.7.x to v2.8.x. From the perspective of message queue, it can be divided into three stages: v0.x, v1.x, and v2.x. At present, Tencent Cloud provides four corresponding versions for these three community development stages: v0.10, v1.1, v2.4, and v2.8, which basically cover commonly used Kafka versions.
Among them, the two major versions v1.x and v2.x mainly contain optimizations and improvements of Kafka Streams but don't introduce many major features in terms of the message engine (v2.x has great improvements of the transaction feature though). Kafka Streams is greatly improved on v2.x. Therefore, if you need to use these features, please select v2.x at least.
Compatibility Description
CKafka is perfectly compatible with open-source Kafka with full backward compatibility with lower versions. For example, if you build Kafka v0.10 on your own, you can select CKafka v0.10, v1.1.1, or v2.4.1 in the cloud, but if you build Kafka on a higher version, we recommend you not select a lower version (because it is uncertain whether your business uses features of higher versions).
The following describes the compatibility:
CKafka Version | Compatible Community Versions | Compatibility |
0.10.2 | ≤ 0.10.x | 100% |
1.1.1 | ≤ 1.1.x | 100% |
2.4.1 | ≤ 2.4.x | 100% |
2.8.1 | ≤ 2.8.x | 100% |
3.2.3 | ≤ 3.2.x | 100% |
Note for CKafka v2.4.1
When CKafka launched v2.4, the stable branch in the community was v2.4.1. Later, the community launched a development branch v2.4.2. After some repairs were merged, it was positioned as v2.4.2. Then, the community deleted v2.4.2, so there was no v2.4.2 in the community eventually. Therefore, the v2.4.2 previously displayed by CKafka is aligned with the current v2.4.1.
Suggestions for CKafka Version Selection
If you migrate your self-built Kafka to the cloud, we recommend you select the corresponding major version. For example, if your self-built Kafka is on v1.1.0, please select CKafka v1.1.
If the corresponding version cannot be found in the cloud, we recommend you select a higher version. For example, if your self-built Kafka is on v1.0.0, we recommend you use CKafka v1.1.1, and if it is on v0.11.x, we also recommend you use CKafka v1.1.1 (because each version of Broker is backward compatible).
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