![]() AMPS fully persists messages before providing them to subscribers, which means that AMPS performance scales proportional to the bandwidth of the storage device. This behavior is a result of the difference in persistence guarantees between the products. RabbitMQ's low performance remained constant, providing no material benefit from the upgraded storage device. AMPS performance dramatically improved with a faster device, while RabbitMQ’s low performance remained constant, providing no material benefit from the upgraded storage device. The second difference is the difference in device scalability. AMPS was faster in testing across the board. The first is the difference in magnitude. There are two notable differences in performance. AMPS, in contrast, fully uses the I/O capacity of the drive, and scales with the usage of that capacity. ![]() Notice that, for all tests, RabbitMQ provides consistent performance, regardless of the amount of traffic being delivered to the drive. The most surprising results were that RabbitMQ seemed to gain little or no performance benefit from higher-bandwidth I/O. To test performance under these conditions, our engineers moved the persistence to an Intel DC P3700 NVMe PCIe solid state storage device.Īs in the hard disk scenario, AMPS performed significantly better, with results 24x - 40x better for publishers and 16x - 30x better for subscribers. Most production installations of AMPS are for applications that require the highest levels of throughput and lowest levels of latency. More interesting than that, though, is that while AMPS performs better with smaller messages – as would be expected, since the storage device can handle more messages in the same amount of I/O bandwidth – RabbitMQ provides consistent performance regardless of the message size, which indicates that the performance is a result of the RabbitMQ implementation rather than I/O constraints. The first test used a mid-range, enterprise-class, 7200RPM spinning drive for the queue persistence.įor all message sizes, AMPS consistently outperforms RabbitMQ by factors ranging from 2X - 15X better for both publishers and subscribers. All tests were run over the loopback interface, with both publishers and subscribers on the same system.īecause AMPS is able to completely saturate the storage on most systems, our engineers ran the test persisting the queues to two different storage devices. Both tests were run on the same system, a Supermicro SYS 1028U TNR4T+ with 2 Intel Xeon E5-2690 v3 processors 12 cores each) and 128GB of memory. Test results were run in the 60East Engineering Lab. This approach is the most compute-intensive distribution method for the server. For AMPS, the maximum backlog of the subscription was set to 100 messages and the proportional distribution method was used in order to optimize for subscriber efficiency. For RabbitMQ, 60East set the prefetch count for each subscriber to 100 messages in an attempt to achieve higher performance and reduce the time waiting for new messages to arrive. ![]() For both products, the consumers were set to acknowledge consumption in batches of 80 messages. The AMPS test used the AMPS C++ client library, and the RabbitMQ test used the alanxz/rabbitmq-c library. In this comparison, durable queues were used in both AMPS and RabbitMQ. AMPS Queues are durable by default and are able to achieve 40x the throughput of RabbitMQ with better durability and message delivery guarantees. While AMPS supports multi-messaging paradigms and provides extensive capabilities beyond message queueing, this paper focuses on the features of AMPS that are most relevant to solutions benefiting from message queueing.Ī majority of the AMPS user base deploys AMPS into enterprises that cannot tolerate message loss or low performance. This document captures the performance testing results and compares features and functionality. To illustrate the performance of AMPS queues, our engineers ran a head-to-head comparison against RabbitMQ, the most popular message queueing product in use today. The 5.0 release of AMPS adds durable message queues, built on the proven AMPS engine for the highest levels of reliability and performance. These applications also take advantage of the AMPS durable message storage, historical replay and audit, global replication and high availability, sophisticated aggregation and analytics, and more. These applications use AMPS because they have the most demanding throughput and latency requirements for publish/subscribe messaging. The Advanced Message Processing System (AMPS) from 60East Technologies is used in production for thousands of enterprise messaging applications. 60East amps message queues performance rabbitmq
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