{"id":37893,"date":"2025-03-01T01:40:53","date_gmt":"2025-03-01T06:40:53","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=37893"},"modified":"2025-03-01T02:14:44","modified_gmt":"2025-03-01T07:14:44","slug":"apache-spark-vs-hadoop-vs-kafka","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/","title":{"rendered":"Apache Spark vs Hadoop vs Kafka: A Detailed Comparison"},"content":{"rendered":"\n<p>There are\u2002three main technologies which come into play when it comes to processing big data \u2014 Apache Spark, Hadoop and Kafka. Although all three of them are meant for big data management, they all do different things\u2002and have their benefits. These tools are equally important for students and professionals who want to make a career in data engineering,\u2002machine learning or real-time analytics, hence understanding the difference is critical. In this blog, you will go through a detailed comparison of Apache Spark Vs Hadoop Vs Kafka, giving you exact guidance on which tool you should choose according to your data\u2002processing needs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"apache-spark-vs-hadoop-vs-kafka\"><\/span>Apache Spark vs Hadoop vs Kafka<span class=\"ez-toc-section-end\"><\/span><\/h2><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a0e18e73fc26\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a0e18e73fc26\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#apache-spark-vs-hadoop-vs-kafka\" >Apache Spark vs Hadoop vs Kafka<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#what-is-apache-spark\" >What is Apache Spark?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#key-features-of-apache-spark\" >Key Features of Apache Spark<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-cases-of-apache-spark\" >Use Cases of Apache Spark<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#what-is-hadoop\" >What is Hadoop?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#key-features-of-hadoop\" >Key Features of Hadoop<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-cases-of-hadoop\" >Use Cases of Hadoop<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#what-is-apache-kafka\" >What is Apache Kafka?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#key-features-of-apache-kafka\" >Key Features of Apache Kafka<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-cases-of-apache-kafka\" >Use Cases of Apache Kafka<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#apache-spark-vs-hadoop-vs-kafka-key-differences\" >Apache Spark vs Hadoop vs Kafka: Key Differences<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#when-to-use-apache-spark-hadoop-or-kafka\" >When to Use Apache Spark, Hadoop, or Kafka?<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-apache-spark-if\" >Use Apache Spark If<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-hadoop-if\" >Use Hadoop If<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#use-kafka-if\" >Use Kafka If<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#conclusion\" >Conclusion<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#also-read\" >Also Read<\/a><\/li><\/ul><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#can-apache-spark-replace-hadoop\" >Can Apache Spark replace Hadoop?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#can-i-use-all-three-technologies-together\" >Can I use all three technologies together?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/statanalytica.com\/blog\/apache-spark-vs-hadoop-vs-kafka\/#which-one-is-best-for-real-time-analytics\" >Which one is best for real-time analytics?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-apache-spark\"><\/span><strong>What is Apache Spark?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Apache Spark is an open-source distributed computing system used for\u2002speedy data processing. It allows us to be considerably faster than traditional disk-based processing systems and is one of the distinguishing\u2002features of in-memory computing. Spark currently works with Python, Java, Scala, and R programming languages, so any data scientist\/engineer can use it for any of these languages.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"key-features-of-apache-spark\"><\/span><strong>Key Features of Apache Spark<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>In-Memory Computing:<\/strong> Enhances speed by processing data in RAM instead of disks.<\/li>\n\n\n\n<li><strong>Batch &amp; Streaming Processing:<\/strong> Supports both batch and real-time data processing.<\/li>\n\n\n\n<li><strong>Machine Learning &amp; Graph Processing:<\/strong> Includes built-in MLlib for machine learning tasks.<\/li>\n\n\n\n<li><strong>Compatibility with Hadoop:<\/strong> Can run on Hadoop clusters and utilize HDFS (Hadoop Distributed File System).<\/li>\n\n\n\n<li><strong>Ease of Integration:<\/strong> Can integrate with various data sources such as HDFS, Apache Cassandra, and Amazon S3.<\/li>\n\n\n\n<li><strong>Fault Tolerance:<\/strong> Uses Resilient Distributed Datasets (RDDs) to recover lost data without major delays.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-cases-of-apache-spark\"><\/span><strong>Use Cases of Apache Spark<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-time data analytics and dashboards.<\/li>\n\n\n\n<li>Fraud detection in financial transactions.<\/li>\n\n\n\n<li>Processing large-scale scientific data.<\/li>\n\n\n\n<li>Machine learning model training and deployment.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-hadoop\"><\/span><strong>What is Hadoop?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Apache Hadoop is a software framework for distributed storage and processing of large data sets across clusters\u2002of computers. Optimized for batch\u2002processing, it offers efficient storage for petabytes of data.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"key-features-of-hadoop\"><\/span>Key Features of Hadoop<span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>HDFS\u2002(Hadoop Distributed File System):<\/strong> Used to keep large files spread across many machines<\/li>\n\n\n\n<li><strong>MapReduce<\/strong>: A programming model for\u2002parallel processing of large data sets<\/li>\n\n\n\n<li><strong>Scalability<\/strong>: Capable of handling huge structured\u2002and unstructured data.<\/li>\n\n\n\n<li><strong>Cost-Effective<\/strong>: Designed to run on commodity hardware, which helps in reducing the\u2002infrastructure cost.<\/li>\n\n\n\n<li><strong>Security<\/strong>: Kerberos authentication and\u2002access control policies are supported.<\/li>\n\n\n\n<li><strong>High availability<\/strong>: It makes\u2002use of replication in order to continue to serve requests even in the event of a failure<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-cases-of-hadoop\"><\/span><strong>Use Cases of Hadoop<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Batch processing of large datasets.<\/li>\n\n\n\n<li>Storing and analyzing historical data.<\/li>\n\n\n\n<li>Data warehousing and reporting.<\/li>\n\n\n\n<li>Log processing for system monitoring.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-apache-kafka\"><\/span><strong>What is Apache Kafka?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Apache Kafka is an open-source distributed event streaming platform designed to handle real-time data ingestion, storage, and processing. It is widely used for building real-time analytics and event-driven architectures.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"key-features-of-apache-kafka\"><\/span><strong>Key Features of Apache Kafka<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Real-Time Data Streaming:<\/strong> Handles continuous data flow efficiently.<\/li>\n\n\n\n<li><strong>Distributed and Scalable:<\/strong> Can process millions of messages per second.<\/li>\n\n\n\n<li><strong>High Fault Tolerance:<\/strong> Ensures data durability and replication.<\/li>\n\n\n\n<li><strong>Integration with Spark and Hadoop:<\/strong> Works well with both technologies for end-to-end data processing.<\/li>\n\n\n\n<li><strong>Publish-Subscribe Model:<\/strong> Allows multiple producers and consumers to process messages asynchronously.<\/li>\n\n\n\n<li><strong>Log Compaction:<\/strong> Maintains important data while removing outdated records.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-cases-of-apache-kafka\"><\/span><strong>Use Cases of Apache Kafka<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-time log aggregation.<\/li>\n\n\n\n<li>Event-driven architectures in microservices.<\/li>\n\n\n\n<li>Real-time data pipelines for AI\/ML models.<\/li>\n\n\n\n<li>Monitoring and anomaly detection in network systems.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"apache-spark-vs-hadoop-vs-kafka-key-differences\"><\/span><strong>Apache Spark vs Hadoop vs Kafka: Key Differences<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Feature<\/strong><\/td><td><strong>Apache Spark<\/strong><\/td><td><strong>Hadoop<\/strong><\/td><td><strong>Apache Kafka<\/strong><\/td><\/tr><tr><td><strong>Use Case<\/strong><\/td><td>Fast data processing<\/td><td>Batch processing<\/td><td>Real-time data streaming<\/td><\/tr><tr><td><strong>Processing Type<\/strong><\/td><td>In-memory (fast)<\/td><td>Disk-based (slow)<\/td><td>Event-driven (real-time)<\/td><\/tr><tr><td><strong>Data Handling<\/strong><\/td><td>Structured &amp; unstructured<\/td><td>Structured &amp; unstructured<\/td><td>Event logs, real-time feeds<\/td><\/tr><tr><td><strong>Fault Tolerance<\/strong><\/td><td>High<\/td><td>High<\/td><td>Very High<\/td><\/tr><tr><td><strong>Scalability<\/strong><\/td><td>High<\/td><td>Very High<\/td><td>Very High<\/td><\/tr><tr><td><strong>Latency<\/strong><\/td><td>Low<\/td><td>High<\/td><td>Ultra-low<\/td><\/tr><tr><td><strong>Ease of Use<\/strong><\/td><td>Moderate<\/td><td>Complex<\/td><td>Moderate<\/td><\/tr><tr><td><strong>Security<\/strong><\/td><td>Moderate<\/td><td>High<\/td><td>High<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"when-to-use-apache-spark-hadoop-or-kafka\"><\/span><strong>When to Use Apache Spark, Hadoop, or Kafka?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-apache-spark-if\"><\/span><strong>Use Apache Spark If<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You need high-speed data processing for analytics or machine learning.<\/li>\n\n\n\n<li>Your application requires real-time and batch processing.<\/li>\n\n\n\n<li>You prefer in-memory computing for faster performance.<\/li>\n\n\n\n<li>You are working on a recommendation system, fraud detection, or AI-based data analysis.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-hadoop-if\"><\/span><strong>Use Hadoop If<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You are working with massive datasets that need distributed storage.<\/li>\n\n\n\n<li>Your focus is on batch processing rather than real-time analytics.<\/li>\n\n\n\n<li>You need a cost-effective solution for big data storage and retrieval.<\/li>\n\n\n\n<li>Your use case involves data warehousing, archival storage, or offline analytics.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"use-kafka-if\"><\/span><strong>Use Kafka If<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You require real-time streaming and event processing.<\/li>\n\n\n\n<li>You want to build a scalable data pipeline for real-time applications.<\/li>\n\n\n\n<li>Your system involves log aggregation, monitoring, or messaging services.<\/li>\n\n\n\n<li>You are dealing with IoT sensor data, stock market feeds, or real-time tracking applications.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Apache Spark, Hadoop, and Kafka each serve distinct purposes in big data processing. While Spark is best for in-memory, high-speed computing, Hadoop excels in distributed batch processing, and Kafka is ideal for real-time data streaming. Choosing the right technology depends on your specific use case, data volume, and performance needs.<\/p>\n\n\n\n<p>Are you interested in learning more about these technologies? Stay updated with our latest insights on big data tools and processing techniques!<\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"also-read\"><\/span>Also Read<span class=\"ez-toc-section-end\"><\/span><\/h5>\n\n\n\n<ol class=\"wp-block-list\">\n<li><a href=\"https:\/\/statanalytica.com\/blog\/open-source-data-analysis-tools\/\">Best Open-Source Data Analysis Tools in 2025<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/statanalytica.com\/blog\/open-source-tools-for-data-scientists\/\">Best Open-Source Tools for Data Scientists<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/statanalytica.com\/blog\/data-visualization-tools-for-businesses\/\">9+ Data Visualization Tools For Businesses<\/a><\/li>\n<\/ol>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1740810378968\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"can-apache-spark-replace-hadoop\"><\/span><strong>Can Apache Spark replace Hadoop?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No, <a href=\"https:\/\/spark.apache.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">Apache Spark<\/a> is not a replacement for Hadoop but a complement. Spark can run on top of Hadoop and utilize HDFS for storage.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1740810409635\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"can-i-use-all-three-technologies-together\"><\/span><strong>Can I use all three technologies together?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, many organizations use Hadoop for storage, Spark for processing, and Kafka for real-time data streaming in a single data pipeline.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1740810426743\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"which-one-is-best-for-real-time-analytics\"><\/span><strong>Which one is best for real-time analytics?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Kafka is the best for real-time analytics as it is optimized for event streaming and low-latency message processing.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>There are\u2002three main technologies which come into play when it comes to processing big data \u2014 Apache Spark, Hadoop and Kafka. Although all three of them are meant for big data management, they all do different things\u2002and have their benefits. These tools are equally important for students and professionals who want to make a career [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":37895,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[139],"tags":[5193],"class_list":["post-37893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analytics","tag-apache-spark-vs-hadoop-vs-kafka"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=37893"}],"version-history":[{"count":2,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37893\/revisions"}],"predecessor-version":[{"id":37898,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37893\/revisions\/37898"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/37895"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=37893"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=37893"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=37893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}