{"id":382,"date":"2024-01-02T07:19:07","date_gmt":"2024-01-02T07:19:07","guid":{"rendered":"https:\/\/www.kaashivinfotech.com\/blog\/?p=382"},"modified":"2025-07-24T10:23:57","modified_gmt":"2025-07-24T10:23:57","slug":"rabbitmq-vs-kafka","status":"publish","type":"post","link":"https:\/\/www.kaashivinfotech.com\/blog\/rabbitmq-vs-kafka\/","title":{"rendered":"RabbitMQ vs Kafka : Top 5 Key Differences You Must Know in 2025"},"content":{"rendered":"<h2><strong>What is RabbitMQ?<\/strong><\/h2>\n<p>RabbitMQ is an open-source message broker software that facilitates communication between different parts of a distributed application or system. It serves as an intermediary that allows various software components, services, or applications to exchange messages in a reliable and asynchronous manner. RabbitMQ is designed to support various messaging patterns, including publish-subscribe, request-reply, and work queues.<\/p>\n<figure id=\"attachment_383\" aria-describedby=\"caption-attachment-383\" style=\"width: 256px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-383 size-full\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/images-1.jpg\" alt=\"difference between kafka and rabbitmq,kafka vs rabbitmq , rabbitmq vs kafka \" width=\"256\" height=\"197\" \/><figcaption id=\"caption-attachment-383\" class=\"wp-caption-text\">RabbitMQ<\/figcaption><\/figure>\n<h2><strong>Features of RabbitMQ<\/strong><\/h2>\n<h3><strong>Message Queuing<\/strong><\/h3>\n<p>RabbitMQ provides a message queuing mechanism where messages are sent by producers (senders) to message queues, and consumers (receivers) retrieve and process messages from these queues.<\/p>\n<h3><strong>Message Routing<\/strong><\/h3>\n<p>RabbitMQ supports flexible message routing through different exchange types, including direct, fanout, topic, and headers exchanges. This enables fine-grained control over how messages are delivered to queues.<\/p>\n<h3><strong>Multiple Protocols<\/strong><\/h3>\n<p>RabbitMQ supports multiple messaging protocols, including the Advanced Message Queuing Protocol (AMQP), Message Queuing Telemetry Transport (MQTT), Streaming Text Oriented Messaging Protocol (STOMP), and HTTP, making it versatile and compatible with a wide range of applications.<\/p>\n<h3><strong>Reliability<\/strong><\/h3>\n<p>RabbitMQ ensures message durability, meaning that messages can be marked as &#8220;persistent&#8221; to survive server restarts and ensure they are not lost. This is important for critical messages.<\/p>\n<h3><strong>Clustering<\/strong><\/h3>\n<p>RabbitMQ can be deployed in a cluster configuration, allowing for high availability and load balancing. This ensures that even if one RabbitMQ node fails, the system remains operational.<\/p>\n<h3><strong>Message Acknowledgment<\/strong><\/h3>\n<p>Consumers can acknowledge the receipt and successful processing of messages, ensuring that messages are not lost in transit.<\/p>\n<h3><strong>Dead Letter Exchanges<\/strong><\/h3>\n<p>RabbitMQ provides dead letter exchanges, enabling the handling of failed or undeliverable messages.<\/p>\n<h2><strong>When to Use RabbitMQ?<\/strong><\/h2>\n<p>You should consider using RabbitMQ when<\/p>\n<ul>\n<li>You need a reliable message broker to facilitate communication between different components of a distributed system.<\/li>\n<li>You require support for multiple messaging patterns, such as publish-subscribe, point-to-point, and request-reply.<\/li>\n<li>Message durability and guaranteed delivery are crucial for your application.<\/li>\n<li>You need to route and filter messages based on various criteria.<\/li>\n<li>You want to implement asynchronous processing to decouple parts of your system.<\/li>\n<li>Your application needs to scale horizontally, and you want to ensure high availability and fault tolerance.<\/li>\n<li>You are working with languages and platforms that have good support for RabbitMQ, as it has client libraries available for various programming languages.<\/li>\n<\/ul>\n<h2><strong>What is Kafka?<\/strong><\/h2>\n<p>Kafka is an open-source distributed event streaming platform originally developed by LinkedIn and now part of the Apache Software Foundation. It is designed for high-throughput, fault-tolerant, and real-time data streaming and processing. Kafka is commonly used for building data pipelines, event sourcing, and real-time analytics.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-384 aligncenter\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/kafka8040-300x225.jpg\" alt=\"\" width=\"300\" height=\"225\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/kafka8040-300x225.jpg 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/kafka8040-768x576.jpg 768w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/kafka8040.jpg 866w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<h2><strong>Features of Kafka<\/strong><\/h2>\n<h3><strong>Publish-Subscribe Model<\/strong><\/h3>\n<p>Kafka follows a publish-subscribe messaging model. Producers publish messages to topics, and consumers subscribe to these topics to receive messages.<\/p>\n<h3><strong>Log-Based Architecture<\/strong><\/h3>\n<p>Kafka stores messages in an immutable, distributed, and partitioned log. This log-based architecture makes Kafka highly efficient for both publishing and consuming messages.<\/p>\n<h3><strong>Scalability<\/strong><\/h3>\n<p>Kafka is designed to scale horizontally. It can handle massive volumes of data and high message throughput. Kafka clusters can be easily expanded to accommodate increased data ingestion rates.<\/p>\n<h3><strong>Fault Tolerance<\/strong><\/h3>\n<p>Kafka is fault-tolerant. It replicates data across multiple brokers to ensure data availability and durability. It can recover from broker failures without data loss.<\/p>\n<h3><strong>Real-Time Processing<\/strong><\/h3>\n<p>Kafka provides the ability to process and analyze data streams in real-time using the Kafka Streams API. This makes it suitable for building real-time applications and processing pipelines.<\/p>\n<h3><strong>Retention Policies<\/strong><\/h3>\n<p>Kafka allows you to define retention policies for topics, specifying how long messages should be retained. This enables you to replay events from the past.<\/p>\n<h3><strong>Stream Processing<\/strong><\/h3>\n<p>Kafka integrates with stream processing frameworks like Apache Flink, Apache Storm, and Kafka Streams, enabling the development of complex data processing pipelines.<\/p>\n<h2><strong>When to Use Apache Kafka?<\/strong><\/h2>\n<p>Consider using Apache Kafka when<\/p>\n<h3><strong>Real-Time Data Streaming<\/strong><\/h3>\n<p>You need to process and analyze data in real-time or near real-time, such as for monitoring, analytics, or alerting.<\/p>\n<h3><strong>Log Aggregation<\/strong><\/h3>\n<p>You want to collect and aggregate log data from various sources, such as applications, servers, and sensors.<\/p>\n<h3><strong>Event Sourcing<\/strong><\/h3>\n<p>You are implementing event sourcing, where changes to the state of an application are captured as a series of immutable events.<\/p>\n<h3><strong>Data Integration<\/strong><\/h3>\n<p>You need to integrate data from multiple sources, systems, or applications and make it available for consumption in a scalable and fault-tolerant manner.<\/p>\n<h3><strong>IoT (Internet of Things)<\/strong><\/h3>\n<p>You are working on IoT projects that involve ingesting and processing large volumes of sensor data.<\/p>\n<h3><strong>Scalable Data Processing<\/strong><\/h3>\n<p>You require a scalable and distributed data processing platform for handling high message volumes and data transformation.<\/p>\n<h3><strong>Fault Tolerance<\/strong><\/h3>\n<p>Ensuring high availability and data durability is crucial for your application, and you want a system that can recover from failures without data loss.<\/p>\n<h2><strong>Difference Between RabbitMQ and Kafka<\/strong><\/h2>\n<h3><strong>\u00a01.<\/strong><strong>\u00a0Pull vs Push Approach<\/strong><\/h3>\n<h4><strong>RabbitMQ (Pull Approach)<\/strong><\/h4>\n<p>RabbitMQ follows a pull-based approach, where consumers actively fetch messages from queues when they are ready to process them. Consumers need to poll the message queues at regular intervals to check for new messages. This approach gives consumers control over when and how they retrieve messages.<\/p>\n<h4><strong>Kafka (Push Approach)<\/strong><\/h4>\n<p>Kafka follows a push-based approach, where producers push messages to Kafka topics, and consumers receive messages as soon as they are available. Kafka consumers do not actively poll for messages; instead, Kafka delivers messages to consumers as they are produced. This push-based model reduces latency in message delivery.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-385 aligncenter\" src=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/RabbitMQ-vs-Kafka-300x142.jpg\" alt=\"\" width=\"300\" height=\"142\" srcset=\"https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/RabbitMQ-vs-Kafka-300x142.jpg 300w, https:\/\/www.kaashivinfotech.com\/blog\/wp-content\/uploads\/2023\/09\/RabbitMQ-vs-Kafka.jpg 612w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<h2><strong>Effects of Differences on Architecture and Connections<\/strong><\/h2>\n<h3><strong>RabbitMQ (Pull Approach)<\/strong><\/h3>\n<h4><strong>\u00a0<\/strong><strong>Consumer Architecture<\/strong><\/h4>\n<p>In RabbitMQ, consumers are responsible for actively pulling messages from queues. This pull-based model can lead to more complex consumer architectures, where developers need to manage when and how consumers retrieve messages. Developers need to implement logic to handle message polling, acknowledgment, and retries.<\/p>\n<h4><strong>Connection Patterns<\/strong><\/h4>\n<p>RabbitMQ typically involves more persistent, long-lived connections from consumers to the message broker. Consumers continuously maintain connections to RabbitMQ and actively request messages when ready.<\/p>\n<h4><strong>Resource Consumption<\/strong><\/h4>\n<p>RabbitMQ consumers can consume resources (CPU, memory) even when there are no messages to process due to polling.<\/p>\n<h3><strong>Kafka (Push Approach)<\/strong><\/h3>\n<h4><strong>Consumer Architecture<\/strong><\/h4>\n<p>Kafka&#8217;s push-based model simplifies consumer architecture. Consumers subscribe to topics and process messages as they arrive, reducing the need for complex polling and message management logic. Kafka consumers tend to be more straightforward to implement.<\/p>\n<h4><strong>Connection Patterns<\/strong><\/h4>\n<p>Kafka typically involves fewer long-lived connections since consumers do not need to maintain persistent connections for polling. Connections are established as needed when consumers subscribe to topics.<\/p>\n<h4><strong>Resource Consumption<\/strong><\/h4>\n<p>Kafka consumers are more resource-efficient, as they only consume resources when actively processing messages.<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"196\"><strong>PARAMETER<\/strong><\/td>\n<td width=\"186\"><strong>RabbitMQ<\/strong><\/td>\n<td width=\"183\"><strong>Kafka<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Type<\/strong><\/td>\n<td width=\"186\">Message broker<\/td>\n<td width=\"183\">Distributed streaming platform<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Purpose<\/strong><\/td>\n<td width=\"186\">Message queuing system for communication between distributed components<\/td>\n<td width=\"183\">Real-time event streaming and message processing<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Architecture<\/strong><\/td>\n<td width=\"186\">Single broker or clustered (using the AMQP protocol)<\/td>\n<td width=\"183\">Distributed and scalable architecture (pub-sub model using the Apache Kafka protocol)<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Message Retention<\/strong><\/td>\n<td width=\"186\">Configurable, messages can be persistent or transient<\/td>\n<td width=\"183\">Configurable, supports retention based on time or size of data<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Message Delivery Guarantees<\/strong><\/td>\n<td width=\"186\">At least once, but can be configured for other delivery guarantees<\/td>\n<td width=\"183\">At least once, but supports configurations for different levels of delivery guarantees (at most once, exactly once)<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Scaling<\/strong><\/td>\n<td width=\"186\">Horizontal scaling with the use of multiple nodes in a cluster<\/td>\n<td width=\"183\">Horizontal scaling by adding more Kafka brokers to the cluster<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Data Storage<\/strong><\/td>\n<td width=\"186\">Uses storage backends for persistence (e.g., Erlang Term Storage, SQLite)<\/td>\n<td width=\"183\">Persists messages on disk, but Kafka is not a permanent data store<\/td>\n<\/tr>\n<tr>\n<td width=\"196\"><strong>Message Protocol<\/strong><\/td>\n<td width=\"186\">Supports multiple protocols, including AMQP, MQTT, and STOMP<\/td>\n<td width=\"183\">Uses its own protocol, based on a distributed commit log<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3 data-start=\"216\" data-end=\"282\">\u2705 <strong data-start=\"222\" data-end=\"282\">Conclusion: Kafka vs RabbitMQ \u2013 Which Should You Choose?<\/strong><\/h3>\n<p data-start=\"284\" data-end=\"504\">When comparing <strong data-start=\"299\" data-end=\"320\">Kafka vs RabbitMQ<\/strong>, it\u2019s important to understand that both are powerful but serve different purposes. The <strong data-start=\"408\" data-end=\"449\">difference between Kafka and RabbitMQ<\/strong> lies in their design philosophy and ideal use cases.<\/p>\n<p data-start=\"506\" data-end=\"841\"><strong data-start=\"506\" data-end=\"518\">RabbitMQ<\/strong> is a traditional message broker, great for <strong data-start=\"562\" data-end=\"585\">guaranteed delivery<\/strong> and <strong data-start=\"590\" data-end=\"606\">task queuing<\/strong> in applications that require <strong data-start=\"636\" data-end=\"672\">service-to-service communication<\/strong>. On the other hand, <strong data-start=\"693\" data-end=\"702\">Kafka<\/strong> is a distributed event streaming platform built for <strong data-start=\"755\" data-end=\"774\">high-throughput<\/strong>, <strong data-start=\"776\" data-end=\"804\">real-time data pipelines<\/strong>, and <strong data-start=\"810\" data-end=\"840\">event-driven architectures<\/strong>.<\/p>\n<p data-start=\"843\" data-end=\"999\">Ultimately, the best choice in the <strong data-start=\"878\" data-end=\"899\">Kafka vs RabbitMQ<\/strong> debate depends on your project\u2019s architecture, scalability needs, and the nature of your data flow.<\/p>\n<hr data-start=\"1001\" data-end=\"1004\" \/>\n<h3 data-start=\"1006\" data-end=\"1039\">\u2753 <strong data-start=\"1012\" data-end=\"1039\">FAQs: Kafka vs RabbitMQ<\/strong><\/h3>\n<p data-start=\"1041\" data-end=\"1402\"><strong data-start=\"1041\" data-end=\"1088\">1. Can RabbitMQ and Kafka be used together?<\/strong><br data-start=\"1088\" data-end=\"1091\" \/>Yes, you can integrate <strong data-start=\"1114\" data-end=\"1136\">Kafka and RabbitMQ<\/strong> within a single system. For example, RabbitMQ can handle real-time messaging and task distribution, while Kafka can be used for <strong data-start=\"1265\" data-end=\"1284\">event streaming<\/strong>, <strong data-start=\"1286\" data-end=\"1305\">log aggregation<\/strong>, or <strong data-start=\"1310\" data-end=\"1332\">big data pipelines<\/strong>. This hybrid approach helps leverage the strengths of both platforms.<\/p>\n<p data-start=\"1404\" data-end=\"1841\"><strong data-start=\"1404\" data-end=\"1447\">2. Is Kafka a replacement for RabbitMQ?<\/strong><br data-start=\"1447\" data-end=\"1450\" \/>Not necessarily. Kafka is not a direct replacement for RabbitMQ. While Kafka can handle messaging, its strengths lie in <strong data-start=\"1570\" data-end=\"1591\">stream processing<\/strong>, <strong data-start=\"1593\" data-end=\"1616\">real-time analytics<\/strong>, and <strong data-start=\"1622\" data-end=\"1657\">handling large-scale data flows<\/strong>. RabbitMQ, on the other hand, excels in <strong data-start=\"1698\" data-end=\"1730\">low-latency message delivery<\/strong> and <strong data-start=\"1735\" data-end=\"1766\">traditional queuing systems<\/strong>. Choosing between <strong data-start=\"1785\" data-end=\"1806\">Kafka vs RabbitMQ<\/strong> depends on your specific use case.<\/p>\n<p data-start=\"1843\" data-end=\"1958\"><strong data-start=\"1843\" data-end=\"1908\">3. Which one is more suitable for microservices architecture?<\/strong><br data-start=\"1908\" data-end=\"1911\" \/>Both can be used in <strong data-start=\"1931\" data-end=\"1948\">microservices<\/strong> setups.<\/p>\n<ul data-start=\"1959\" data-end=\"2293\">\n<li data-start=\"1959\" data-end=\"2059\">\n<p data-start=\"1961\" data-end=\"2059\"><strong data-start=\"1961\" data-end=\"1973\">RabbitMQ<\/strong> is ideal for <strong data-start=\"1987\" data-end=\"2026\">simple service-to-service messaging<\/strong>, retries, and acknowledgments.<\/p>\n<\/li>\n<li data-start=\"2060\" data-end=\"2293\">\n<p data-start=\"2062\" data-end=\"2293\"><strong data-start=\"2062\" data-end=\"2071\">Kafka<\/strong> is better for <strong data-start=\"2086\" data-end=\"2112\">distributed event logs<\/strong>, <strong data-start=\"2114\" data-end=\"2131\">state sharing<\/strong>, and <strong data-start=\"2137\" data-end=\"2179\">large-scale event-driven microservices<\/strong>.<br data-start=\"2180\" data-end=\"2183\" \/>So, the <strong data-start=\"2191\" data-end=\"2212\">RabbitMQ vs Kafka<\/strong> decision should be based on your architecture&#8217;s complexity and throughput needs.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2295\" data-end=\"2420\"><strong data-start=\"2295\" data-end=\"2357\">4. Are there cloud-managed versions of RabbitMQ and Kafka?<\/strong><br data-start=\"2357\" data-end=\"2360\" \/>Yes. Both RabbitMQ and Kafka offer managed cloud services:<\/p>\n<ul data-start=\"2421\" data-end=\"2643\">\n<li data-start=\"2421\" data-end=\"2499\">\n<p data-start=\"2423\" data-end=\"2499\"><strong data-start=\"2423\" data-end=\"2435\">RabbitMQ<\/strong> is available via <strong data-start=\"2453\" data-end=\"2463\">AWS MQ<\/strong>, <strong data-start=\"2465\" data-end=\"2474\">Azure<\/strong>, and <strong data-start=\"2480\" data-end=\"2496\">Google Cloud<\/strong>.<\/p>\n<\/li>\n<li data-start=\"2500\" data-end=\"2643\">\n<p data-start=\"2502\" data-end=\"2643\"><strong data-start=\"2502\" data-end=\"2511\">Kafka<\/strong> is available as a managed service through <strong data-start=\"2554\" data-end=\"2573\">Confluent Cloud<\/strong>, <strong data-start=\"2575\" data-end=\"2619\">Amazon MSK (Managed Streaming for Kafka)<\/strong>, and other platforms.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2645\" data-end=\"2809\">These cloud-managed versions simplify deployment, scalability, and maintenance\u2014making <strong data-start=\"2731\" data-end=\"2752\">Kafka vs RabbitMQ<\/strong> comparisons more flexible in modern DevOps environments.<\/p>\n<hr data-start=\"1001\" data-end=\"1004\" \/>\n<h3 data-start=\"67\" data-end=\"87\">\ud83d\udcda Related Reads<\/h3>\n<ul data-start=\"89\" data-end=\"828\">\n<li data-start=\"89\" data-end=\"238\">\n<p data-start=\"91\" data-end=\"238\">\ud83d\udd04 <a class=\"\" href=\"https:\/\/www.kaashivinfotech.com\/blog\/react-vs-angular-vs-vue-2025-framework-comparison\/\" target=\"_new\" rel=\"noopener\" data-start=\"94\" data-end=\"236\">React vs Angular vs Vue 2025 \u2013 Framework Comparison<\/a><\/p>\n<\/li>\n<li data-start=\"239\" data-end=\"380\">\n<p data-start=\"241\" data-end=\"380\">\ud83e\udd16 <a class=\"\" href=\"https:\/\/www.kaashivinfotech.com\/blog\/ai-vs-ml-vs-data-science-what-to-learn-2025\/\" target=\"_new\" rel=\"noopener\" data-start=\"244\" data-end=\"378\">AI vs ML vs Data Science \u2013 What to Learn in 2025?<\/a><\/p>\n<\/li>\n<li data-start=\"381\" data-end=\"502\">\n<p data-start=\"383\" data-end=\"502\">\ud83c\udf10 <a class=\"\" href=\"https:\/\/www.kaashivinfotech.com\/blog\/rest-api-vs-web-api-key-differences\/\" target=\"_new\" rel=\"noopener\" data-start=\"386\" data-end=\"500\">REST API vs Web API \u2013 Key Differences<\/a><\/p>\n<\/li>\n<li data-start=\"503\" data-end=\"607\">\n<p data-start=\"505\" data-end=\"607\">\u2615\ud83d\udc0d <a class=\"\" href=\"https:\/\/www.wikitechy.com\/tutorials\/java\/java-vs-python\" target=\"_new\" rel=\"noopener\" data-start=\"509\" data-end=\"605\">Java vs Python \u2013 Which One to Choose?<\/a><\/p>\n<\/li>\n<li data-start=\"608\" data-end=\"717\">\n<p data-start=\"610\" data-end=\"717\">\ud83d\udd10 <a class=\"\" href=\"https:\/\/www.wikitechy.com\/difference-between-http-and-https\/\" target=\"_new\" rel=\"noopener\" data-start=\"613\" data-end=\"715\">HTTP vs HTTPS \u2013 What&#8217;s the Difference?<\/a><\/p>\n<\/li>\n<li data-start=\"718\" data-end=\"828\">\n<p data-start=\"720\" data-end=\"828\">\ud83d\udc0d\ud83d\udcca <a class=\"\" href=\"https:\/\/www.wikitechy.com\/tutorials\/python\/python-vs-matlab\" target=\"_new\" rel=\"noopener\" data-start=\"725\" data-end=\"828\">Python vs MATLAB \u2013 A Detailed Comparison<\/a><\/p>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"What is RabbitMQ? RabbitMQ is an open-source message broker software that facilitates communication between different parts of a&hellip;","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_singular_sidebar":"","csco_page_header_type":"","csco_page_load_nextpost":"","footnotes":""},"categories":[221],"tags":[1742,1759,1749,575,577,572,570,1741,1756,1745,1748,1761,574,1755,1751,1746,1752,1744,1763,1758,1750,1760,1753,576,1762,573,1747,1754,1743,1757,571,569],"class_list":["post-382","post","type-post","status-publish","format-standard","category-difference","tag-apache-kafka","tag-apache-kafka-basics","tag-architecture-differences-of-kafka-and-rabbitmq","tag-difference-between-rabbitmq-and-kafka","tag-effects-of-differences-on-architecture-and-connections","tag-features-of-kafka","tag-features-of-rabbitmq","tag-kafka","tag-kafka-and-rabbitmq","tag-kafka-and-rabbitmq-difference","tag-kafka-basics","tag-kafka-compare-rabbitmq","tag-kafka-features","tag-kafka-or-rabbitmq","tag-kafka-rabbitmq","tag-kafka-tutorial","tag-kafka-vs-rabbit","tag-kafka-vs-rabbitmq","tag-kafka-vs-rabbitmq-guide","tag-kafka-vs-","tag-rabbit-kafka","tag-rabbit-kafka--","tag-rabbit-vs-kafka","tag-rabbitmq-and-kafka-differences","tag-rabbitmq-compare-kafka","tag-rabbitmq-features","tag-rabbitmq-kafka","tag-rabbitmq-or-kafka","tag-rabbitmq-vs-kafka","tag-rabbitmq--kafka","tag-what-is-kafka","tag-what-is-rabbitmq","cs-entry"],"_links":{"self":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/382","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/comments?post=382"}],"version-history":[{"count":6,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/382\/revisions"}],"predecessor-version":[{"id":9069,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/382\/revisions\/9069"}],"wp:attachment":[{"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/media?parent=382"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/categories?post=382"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kaashivinfotech.com\/blog\/wp-json\/wp\/v2\/tags?post=382"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}