Amazon RDS for Aurora vs RabbitMQ

Overview

RabbitMQ

Stacks21.8K

Followers18.9K

Votes558

GitHub Stars13.2K

Forks4.0K

Amazon Aurora

Stacks804

Followers744

Votes55

Amazon RDS for Aurora vs RabbitMQ: What are the differences?

Amazon RDS for Aurora and RabbitMQ are both popular database management systems, each with its own unique features and use cases. In this comparison, we will highlight some key differences between the two technologies to help you choose the right solution for your specific needs.

Architecture: Amazon RDS for Aurora is a relational database service built for the cloud, offering high performance and scalability. On the other hand, RabbitMQ is a message broker that uses a message queueing protocol to enable communication between different systems. The architecture of Aurora is optimized for online transaction processing (OLTP) workloads, while RabbitMQ is designed for handling messaging patterns such as pub/sub and point-to-point communication.
Data Storage: Amazon RDS for Aurora stores data in a traditional relational database format, providing ACID compliance and support for SQL queries. In contrast, RabbitMQ stores messages in queues, allowing for asynchronous communication between applications. While Aurora is suitable for applications that require structured data storage and complex queries, RabbitMQ is ideal for decoupling components and enabling event-driven architectures.
Scaling: Aurora is designed for horizontal scaling, allowing you to add read replicas and scale storage as needed to handle growing workloads. RabbitMQ, on the other hand, can be scaled vertically by adding more resources to the server, such as CPU and memory. Both technologies support scaling, but they do so in different ways based on their specific use cases.
Durability: Amazon RDS for Aurora offers built-in data redundancy and automated backups to ensure data durability and high availability. RabbitMQ provides durability through persistence options for messages, allowing them to be stored on disk and survive server restarts. The level of durability and data retention differs between the two technologies, depending on the specific requirements of your application.
Use Cases: Amazon RDS for Aurora is well-suited for transactional applications, data warehousing, and applications that require relational database features. RabbitMQ, on the other hand, is commonly used for building distributed systems, implementing asynchronous communication, and handling high-throughput messaging workloads. Choosing the right technology depends on the specific use case and requirements of your application.

In Summary, Amazon RDS for Aurora is a relational database service optimized for high performance and scalability, while RabbitMQ is a message broker designed for asynchronous communication between systems. The choice between the two technologies should be based on the specific use case, data storage requirements, scalability needs, durability considerations, and overall architecture of your application.

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Advice on RabbitMQ, Amazon Aurora

viradiya

Apr 12, 2020

Needs adviceon

AngularJS

ASP.NET Core

MSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k

Comments

André

Technology Manager at GS1 Portugal - Codipor

Jul 30, 2020

Needs adviceon

.NET Core

Hello dear developers, our company is starting a new project for a new Web App, and we are currently designing the Architecture (we will be using .NET Core). We want to embark on something new, so we are thinking about migrating from a monolithic perspective to a microservices perspective. We wish to containerize those microservices and make them independent from each other. Is it the best way for microservices to communicate with each other via ESB, or is there a new way of doing this? Maybe complementing with an API Gateway? Can you recommend something else different than the two tools I provided?

We want something good for Cost/Benefit; performance should be high too (but not the primary constraint).

Thank you very much in advance :)

461k views461k

Comments

mediafinger

Feb 13, 2019

Reviewon

Kafka

RabbitMQ

The question for which Message Queue to use mentioned "availability, distributed, scalability, and monitoring". I don't think that this excludes many options already. I does not sound like you would take advantage of Kafka's strengths (replayability, based on an even sourcing architecture). You could pick one of the AMQP options.

I would recommend the RabbitMQ message broker, which not only implements the AMQP standard 0.9.1 (it can support 1.x or other protocols as well) but has also several very useful extensions built in. It ticks the boxes you mentioned and on top you will get a very flexible system, that allows you to build the architecture, pick the options and trade-offs that suite your case best.

For more information about RabbitMQ, please have a look at the linked markdown I assembled. The second half explains many configuration options. It also contains links to managed hosting and to libraries (though it is missing Python's - which should be Puka, I assume).

159k views159k

Comments

Detailed Comparison

RabbitMQ	Amazon Aurora
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.	Amazon Aurora is a MySQL-compatible, relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL at a price point one tenth that of a commercial database while delivering similar performance and availability.
Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported	High Throughput with Low Jitter;Push-button Compute Scaling;Storage Auto-scaling;Amazon Aurora Replicas;Instance Monitoring and Repair;Fault-tolerant and Self-healing Storage;Automatic, Continuous, Incremental Backups and Point-in-time Restore;Database Snapshots;Resource-level Permissions;Easy Migration;Monitoring and Metrics
Statistics
GitHub Stars 13.2K	GitHub Stars -
GitHub Forks 4.0K	GitHub Forks -
Stacks 21.8K	Stacks 804
Followers 18.9K	Followers 744
Votes 558	Votes 55
Pros & Cons
Pros 235 It's fast and it works with good metrics/monitoring 80 Ease of configuration 60 I like the admin interface 52 Easy to set-up and start with 22 Durable Cons 9 Too complicated cluster/HA config and management 6 Needs Erlang runtime. Need ops good with Erlang runtime 5 Configuration must be done first, not by your code 4 Slow	Pros 14 MySQL compatibility 12 Better performance 10 Easy read scalability 9 Speed 7 Low latency read replica Cons 2 Vendor locking 1 Rigid schema
Integrations
No integrations available	PostgreSQL MySQL

What are some alternatives to RabbitMQ, Amazon Aurora?

Amazon RDS

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

Kafka

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

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

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 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.

ActiveMQ

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.

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

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.

Google Cloud SQL

Run the same relational databases you know with their rich extension collections, configuration flags and developer ecosystem, but without the hassle of self management.

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.

Related Comparisons

Amazon RDS for Aurora vs RabbitMQ: What are the differences?

Architecture: Amazon RDS for Aurora is a relational database service built for the cloud, offering high performance and scalability. On the other hand, RabbitMQ is a message broker that uses a message queueing protocol to enable communication between different systems. The architecture of Aurora is optimized for online transaction processing (OLTP) workloads, while RabbitMQ is designed for handling messaging patterns such as pub/sub and point-to-point communication.
Data Storage: Amazon RDS for Aurora stores data in a traditional relational database format, providing ACID compliance and support for SQL queries. In contrast, RabbitMQ stores messages in queues, allowing for asynchronous communication between applications. While Aurora is suitable for applications that require structured data storage and complex queries, RabbitMQ is ideal for decoupling components and enabling event-driven architectures.
Scaling: Aurora is designed for horizontal scaling, allowing you to add read replicas and scale storage as needed to handle growing workloads. RabbitMQ, on the other hand, can be scaled vertically by adding more resources to the server, such as CPU and memory. Both technologies support scaling, but they do so in different ways based on their specific use cases.
Durability: Amazon RDS for Aurora offers built-in data redundancy and automated backups to ensure data durability and high availability. RabbitMQ provides durability through persistence options for messages, allowing them to be stored on disk and survive server restarts. The level of durability and data retention differs between the two technologies, depending on the specific requirements of your application.
Use Cases: Amazon RDS for Aurora is well-suited for transactional applications, data warehousing, and applications that require relational database features. RabbitMQ, on the other hand, is commonly used for building distributed systems, implementing asynchronous communication, and handling high-throughput messaging workloads. Choosing the right technology depends on the specific use case and requirements of your application.

Amazon RDS for Aurora vs RabbitMQ

Overview