Difference with AutoMQ Business Edition

AutoMQ usage scenarios are divided based on deployment formats as follows:

• Self-built Community Edition: You can independently deploy and maintain the AutoMQ Community Edition in a Private Cloud environment.

• Purchase Business Edition: Utilize the Business Edition and services provided by the AutoMQ Team to obtain technical support and operational services. The Business Edition comes in two forms:

  • AutoMQ Cloud A fully-managed cloud service version provided by the AutoMQ Team, ideal for Public Cloud environments.

  • AutoMQ Enterprise A Business Edition software tailored for Private Cloud, referred to as AutoMQ Enterprise.

Community Edition

AutoMQ Community Edition is governed by the AutoMQ BSL License, and all related feature source code can be viewed in the GitHub repository.

Note:

Any user can freely access the code and software artifacts of the AutoMQ Community Edition. Please note that providing commercial services such as message queuing and stream storage to third parties requires commercial licensing from AutoMQ Inc.

Each Community Edition source code governed by the BSL license automatically converts to the Apache V2.0 license four years after release.

"The AutoMQ Team" or "AutoMQ Inc." refers to the legal entity AutoMQ HK Limited and its subsidiaries.

Business Edition

The AutoMQ Business Edition is tailored for enterprise-level needs, providing fully managed operations and committed SLAs. Compared to the Community Edition, it offers significant improvements and optimizations in areas such as disaster recovery, fault tolerance, scalability, and observability. The detailed comparison is as follows:

-	AutoMQ Community Edition	AutoMQ Business Edition
Product Name	AutoMQ	AutoMQ Cloud		AutoMQ Enterprise
Service Model	Free Software	SaaS Fully Managed Service [1]	BYOC Fully Managed Service [2]	Paid Software[3]
Deployment Environment	Public Cloud or Private Cloud: AWS Alibaba Cloud Tencent Cloud Huawei Cloud Baidu Cloud Chinatelecom Cloud MinIO Ceph CubeFS	For Public Cloud, Supported Mainstream Cloud Providers: AWS Azure Google Cloud Alibaba Cloud Tencent Cloud Huawei Cloud Baidu Cloud Chinatelecom Cloud		For Private Cloud, Supported Storage Technology Stack: MinIO Ceph CubeFS HDFS
Resource Ownership	IaaS resources owned by the user	IaaS resources owned by the AutoMQ Inc. cloud account	IaaS resources owned by the user's cloud account	IaaS resources owned by the user
Data Sovereignty	100% private, data stays within the user's subnet	100% secure, trusted to AutoMQ Inc.'s cloud account management	100% private, data stays within the user's VPC	100% private, data stays within the user's subnet
Operation method	Self-deployment and operation	One-click activation via cloud marketplace, official website, etc., with fully-managed service, covering the following scenarios: Deployment Version upgrades (new features and bug fixes) Parameter tuning System alerts [4] Online incident handling [5]		All operations are executed by the customer, with remote technical support provided by the AutoMQ Team
Payment method	[Optional] Subscribe to Technical Consultation	Pay-as-you-go: Pay by the hour based on usage Subscription: Prepay for specified specifications and benefits annually or monthly		Annual subscription: Pay annually based on a yearly cycle for specified specifications and benefits Perpetual license: One-time purchase of software usage license
Cost Structure	Machine resource costs (self-provided) DevOps personnel investment Commercial paid technical consultation (optional)	Software Service Fee (Pricing Includes Cloud Resources)	Software Service Fee (Pricing Excludes Cloud Resources) Cloud Resource Fee (Payable to Cloud Providers)	Software Service Fee (Pricing Excludes Machine Resources) Machine Resource Fee (Self-Provided)
Technical Support	None Community Technical Support	Expert technical support Online emergency response support		Expert technical support Online emergency response support
Applicable Scenarios	Initial PoC testing Recommended for production applications with significant investment in their own R&D teams	Default option for Public Cloud customers	Some Public Cloud customers expect to leverage IaaS discounts by keeping data within their VPC, and they accept operation and maintenance authorization.	Applicable for financial and government enterprise customers who require complete data sovereignty and environment isolation.

• [1] This refers to deploying both the control plane and data plane of AutoMQ Cloud to AutoMQ Inc.'s primary account's independent VPC, and integrating with the customer's VPC through VPC PrivateLink or VPC Peering.

• [2] This refers to deploying both the control plane and data plane of AutoMQ Cloud to the customer's primary account VPC.

• [3] This refers to deploying both the control plane and data plane of AutoMQ Enterprise to the customer's Private Cloud, where the customer is responsible for operations and maintenance, with AutoMQ Inc. providing technical support and version upgrades.

• [4] During the operation of the AutoMQ Server, generated logs, metrics, and diagnostic data are stored in a separate object storage bucket. Customers need to grant cross-account access to this bucket to the main account of the AutoMQ Team. The AutoMQ SaaS platform analyzes customer cluster logs and metrics in real-time, ensuring the stable operation of customer clusters backed by the AutoMQ professional development team.

• [5] AutoMQ Server is equipped with automatic fault recovery capabilities. It monitors various performance metrics of the cluster in real-time and automatically isolates any abnormal nodes. This prevents faults from impacting applications and achieves recovery within minutes. Subsequently, engineers from the AutoMQ Team will analyze the root cause of the fault in the background.

If you need to evaluate or understand the Business Edition, please fill out the form, and our product experts will contact you shortly.

Product Capability Comparison List

Capability Group	Capability Items	Community Edition	Business Edition
Cloud-Native Architecture Design	Second-Level Partition Reassignment	✅	✅
	Minute-Level Smooth Scaling	✅	✅
	100% Compatible with Apache Kafka®	✅	✅
Self-Balancing Data	Traffic Throughput-Based Scheduling	✅	✅
	Request Pressure-Based Scheduling	❌	✅
	Automated Recognition of Cold Data Reads	❌	✅
	Automated Detection of Slow Nodes	❌	✅
Disaster Recovery	Self-Healing for Server Crashes	✅	✅
	Proactive Self-Healing for Node Hangs	❌	✅ Supports proactive scheduling, isolation, and recovery capabilities for the following fault scenarios: Network jitter isolation and recovery Server quasi-death isolation and recovery FullGC isolation and recovery Slow request isolation and recovery
	Multi-AZ disaster recovery	❌	✅ Enables cross-AZ scheduling recovery based on Regional EBS
	Object storage disaster recovery	❌	✅ Supports cross-region backup for S3 with automatic switching
	Block storage disaster recovery	❌	✅ Supports rapid hot data persistence to disaster recovery EBS
	Multi-cloud disaster recovery	❌	✅ Supports cross-cluster routing disaster recovery, including message offset and consumption state reassignment
Elasticity & Cost Optimization	Elastic Storage	✅ Kernel natively supports pay-as-you-go S3	✅ Kernel natively supports pay-as-you-go S3
	Traffic follows elastic scaling	❌	✅
	Supports multiple EBS and multiple WAL	❌	✅
	Supports single cluster multi-Bucket read and write	❌	✅
	Multi-metric interactive elasticity	❌	✅ Supports multi-metric interactive elasticity for CPU, memory, and network throughput, with stronger adaptability to complex stress scenarios
	Scheduled elastic scaling	❌	✅ Ready-to-use out of the box
	Large-scale Spot Instances	❌ The risk of Spot reclamation needs to be addressed	✅Out-of-the-box solution to tailor the proportion and scale of Spot instances based on business needs
GUI-Based Management	Cluster reassignment tool	❌	✅ Provides managed smooth reassignment tools
	Web Console	❌	✅ Offers an out-of-the-box console One-click cluster scaling and configuration changes Version management, supports upgrades and rollbacks CRUDL management for topics, groups, and clusters Status queries, including stack buildup and traffic hotspot distribution
Observable	JMX Metrics	✅	✅
	Prometheus	❌	✅ Provides custom metrics store dump functionality
	OTLP integration	❌	✅
	Grafana Dashboard	❌	✅ Provides out-of-the-box visualization dashboard
	Monitoring and Alerts	❌	✅ Provides out-of-the-box monitoring and alert templates, simplifying configuration Operations anomaly alerts Accumulation alerts, etc.
	Audit Logs	❌	✅ Provides out-of-the-box event auditing features (based on AWS S3 bucket) Operations events Self-balancing events Exception events
Integration	Kafka Connect	✅	✅
	MirrorMaker2	✅	✅
	SSO/LDAP/AD Integration	❌	✅
DevOps Automation	Kafka Admin API/CLI	✅	✅
	Kubernetes	❌	✅
	Terraform	❌	✅
	Cluster management REST APIs	❌	✅
Supported Cloud providers	AWS	✅	✅
	Azure	❌	✅
	Google Cloud Platform	❌	✅
	Alibaba Cloud	✅	✅
	Tencent Cloud	✅	✅
	Huawei Cloud	✅	✅
	Baidu Cloud	✅	✅
	Chinatelecom Cloud	✅	✅
	China Mobile Cloud	✅	✅
Supported Storage Stack	MinIO	✅	✅
	Ceph	✅	✅
	CubeFS	✅	✅
	HDFS	❌	✅
Software Artifacts	Binary	✅	✅
	Docker	✅	✅
	Cloud Machine Image	❌	✅
Expert Services	Support Channels	Community Support	Enterprise Ticket Service
	Expert Key Support	❌	Product Integration Consultation Business Architecture Consultation Cluster Risk Assessment Key Business Window Support

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