StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. ActiveMQ vs Protobuf

ActiveMQ vs Protobuf

OverviewComparisonAlternatives

Overview

ActiveMQ
ActiveMQ
Stacks879
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K
Protobuf
Protobuf
Stacks3.8K
Followers393
Votes0
GitHub Stars69.5K
Forks15.9K

ActiveMQ vs Protobuf: What are the differences?

  1. 1. Scalability: ActiveMQ is a message-oriented middleware that is built on the Java Message Service (JMS) standard, which allows for high scalability and distributed messaging. It can handle very large message volumes and can be easily scaled up to meet the demands of a growing system. On the other hand, Protobuf is not specifically designed for scaled message distribution but rather focuses on efficient serialization and deserialization of structured data.
  2. 2. Language Support: ActiveMQ primarily supports Java, but it also provides support for multiple languages through connectors and protocols. It can be used with languages such as C++, .NET, Ruby, and more. On the other hand, Protobuf is a language-agnostic data serialization format that can be used with various programming languages, including Java, C++, Python, and more. It provides APIs for generating code bindings in different languages.
  3. 3. Message Format: ActiveMQ supports various message formats, including TextMessage, BytesMessage, ObjectMessage, and MapMessage. These formats allow flexibility in exchanging different types of data between systems. In contrast, Protobuf uses a binary message format that optimizes data serialization for efficient storage and transmission. It uses a structured schema definition to define the message format and provides efficient serialization and deserialization of the data.
  4. 4. Persistence: ActiveMQ provides built-in persistence options like JDBC, KahaDB, and LevelDB, which allow messages to be stored in databases or disk-based stores. This ensures message durability and reliability even in the event of system failures. On the other hand, Protobuf does not have built-in persistence capabilities as it focuses on efficient data serialization, and it's up to the application to handle persistence if required.
  5. 5. Messaging Patterns: ActiveMQ supports a wide range of messaging patterns, including point-to-point, publish/subscribe, request/reply, and more. These patterns enable different communication styles between applications and components. In contrast, Protobuf does not provide native support for messaging patterns as it is primarily focused on the serialization and deserialization of structured data.
  6. 6. Interoperability: ActiveMQ provides seamless integration with other JMS-compliant messaging systems, allowing for interoperability between different messaging implementations. It can ensure compatibility and communication between systems using different messaging platforms. Protobuf, on the other hand, can be integrated into various systems and languages through code generation, enabling interoperability at the data level.

In Summary, ActiveMQ offers scalability, language support, various message formats, persistence options, messaging patterns, and interoperability, making it a powerful message-oriented middleware. Protobuf, on the other hand, focuses on efficient data serialization and does not provide native support for messaging patterns or built-in persistence.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

ActiveMQ
ActiveMQ
Protobuf
Protobuf

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

Protocol buffers are Google's language-neutral, platform-neutral, extensible mechanism for serializing structured data – think XML, but smaller, faster, and simpler.

Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
-
Statistics
GitHub Stars
2.4K
GitHub Stars
69.5K
GitHub Forks
1.5K
GitHub Forks
15.9K
Stacks
879
Stacks
3.8K
Followers
1.3K
Followers
393
Votes
77
Votes
0
Pros & Cons
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
  • 1
    Support
  • 1
    Difficult to scale
No community feedback yet

What are some alternatives to ActiveMQ, Protobuf?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase