{"id":64196,"date":"2021-10-29T03:02:38","date_gmt":"2021-10-29T00:02:38","guid":{"rendered":"https:\/\/www.altoros.com\/blog\/?p=64196"},"modified":"2021-12-21T01:46:11","modified_gmt":"2021-12-20T22:46:11","slug":"nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db","status":"publish","type":"post","link":"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/","title":{"rendered":"NoSQL DBaaS Comparison 2021: Couchbase Capella vs. Azure Cosmos DB"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#Reducing_the_complexity_of_NoSQL_systems\" >Reducing the complexity of NoSQL systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#The_testing_environment\" >The testing environment<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#Workload_with_50_reads_and_50_updates\" >Workload with 50% reads and 50% updates<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#More_performance_results\" >More performance results?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#Further_reading\" >Further reading<\/a><\/li><\/ul><\/nav><\/div>\n<h3><span class=\"ez-toc-section\" id=\"Reducing_the_complexity_of_NoSQL_systems\"><\/span>Reducing the complexity of NoSQL systems<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>NoSQL systems provide superior performance and better scalability compared to traditional relational databases. While NoSQL systems can help to achieve the performance required by workloads today, they also entail significant effort and time for deployment, configuration management, and support. Performance drops caused by lag or other factors can lead to major issues and serious troubleshooting.<\/p>\n<p>To reduce the complexity associated with NoSQL systems, <a href=\"https:\/\/en.wikipedia.org\/wiki\/Cloud_database\" rel=\"noopener noreferrer\" target=\"_blank\">databases as a service<\/a> (DBaaS) emerged as a fully managed solution deployed in the cloud. NoSQL DBaaS providers manage these solutions, removing the need for their customers to perform administrative tasks, such as securing, scaling, monitoring, maintaining, and updating the database. Customers are simply charged according to their usage of the service, enabling them to optimize resources, while benefitting from NoSQL systems.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/NoSQL-market-projection.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/NoSQL-market-projection-1024x576.png\" width=\"720\" class=\"aligncenter size-large wp-image-64443\" \/><\/a><small>NoSQL market projection (<a href=\"https:\/\/dataintelo.com\/report\/global-nosql-market\/\" rel=\"noopener noreferrer\" target=\"_blank\">Source<\/a>)<\/small><\/center><\/p>\n<p>Last year, we <a href=\"https:\/\/www.altoros.com\/blog\/dbaas-evaluation-couchbase-cloud-mongodb-atlas-and-amazon-dynamodb\/\">compared<\/a> the performance of three NoSQL DBaaS systems: Couchbase Capella (then Cloud), MongoDB Atlas, and Amazon DynamoDB. Since a handful of alternatives is available on the market, we expanded our testing to include new offerings. Today, we are announcing the results of our latest benchmark, which compares the performance of Couchbase Capella and Azure Cosmos DB. The evaluation was conducted on three different cluster configurations\u20146, 9, and 18 nodes\u2014as well as under four different workloads.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"The_testing_environment\"><\/span>The testing environment<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2020\/12\/Couchbase-Cloud-logo-transparent-300x69.png\" width=\"200\" class=\"alignright size-medium wp-image-58822\" \/><\/p>\n<p><a href=\"https:\/\/www.couchbase.com\/products\/cloud\" rel=\"noopener noreferrer\" target=\"_blank\">Couchbase Capella<\/a> is a fully managed DBaaS that can be configured through a control panel, which includes a variety of options for modifying clusters, such as instance sizes, configurations, and quantities. Additionally, the DBaaS system can be fine-tuned to deploy specific services to a single or more nodes in the cluster.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/image2-300x158.png\" width=\"200\" class=\"alignright size-medium wp-image-64197\" \/><\/p>\n<p><a href=\"https:\/\/azure.microsoft.com\/en-us\/services\/cosmos-db\/#overview\" rel=\"noopener noreferrer\" target=\"_blank\">Azure Cosmos DB<\/a> is a fully managed NoSQL database with single-digit millisecond response times, as well as automatic and instant scalability. As a fully managed service, there is no need to worry about hardware provisioning, setup and configuration, replication, software patching, or cluster scaling.<\/p>\n<p>To ensure the verifiable and repeatable evaluation results, we utilized the Yahoo! Cloud Serving Benchmark (<a href=\"https:\/\/en.wikipedia.org\/wiki\/YCSB\" rel=\"noopener noreferrer\" target=\"_blank\">YCSB<\/a>)\u2014an open-source specification and program suite for evaluating retrieval and maintenance capabilities of computer programs. For Couchbase Capella, the benchmark was performed on Amazon Elastic Compute Cloud (EC2) instances. The YCSB client was deployed to four compute-optimized large instances. Each client instance of YCSB produces threads from 25 to 175 in 25-thread increments. This means the total load on the database ranged from 100 to 700 threads with increments of 100 (four clients with 25 threads each) during each test.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/nosql-benchmarking-ycsb-couchbase-capella-azure-cosmos-db-2021.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/nosql-benchmarking-ycsb-couchbase-capella-azure-cosmos-db-2021-1024x596.png\" width=\"720\" class=\"aligncenter size-large wp-image-64617\" \/><\/a><small>The YCSB architecture deployed<\/small><\/center><\/p>\n<p>YCSB clients running benchmarks for Azure Cosmos DB were spun up on Azure Virtual Machine instances. Client settings for the number of threads remain the same.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Workload_with_50_reads_and_50_updates\"><\/span>Workload with 50% reads and 50% updates<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>One of the scenarios was an update-heavy workload that simulated typical actions performed on an e-commerce website: 50% reading operations and 50% updates. This is a basic key-value workload executed with the following settings:<\/p>\n<ul>\n<li style=\"margin-bottom: 6px;\">The read\/update ratio was 50%\u201350%.<\/li>\n<li style=\"margin-bottom: 6px;\">The <a href=\"https:\/\/github.com\/brianfrankcooper\/YCSB\/blob\/master\/core\/src\/main\/java\/site\/ycsb\/generator\/ZipfianGenerator.java\" rel=\"noopener noreferrer\" target=\"_blank\">Zipfian<\/a> request distribution was used.<\/li>\n<li style=\"margin-bottom: 6px;\">The size of a data set was scaled in accordance with the cluster size: 50 million records (each 1 KB in size, consisting of 10 fields and a key) on a 6-node cluster, 100 million records on a 9-node cluster, and 200 million records on a 18-node cluster.<\/li>\n<\/ul>\n<p>The update operation for Azure Cosmos DB was performed using a stored procedure, which sped up the update query. Azure Cosmos DB uses indexes which have different types, including range, spatial, and composite. By default, Azure Cosmos DB uses range type indexes for each field. To further speed up operations, we only used the ID field during testing. Read and write operations for Couchbase Capella were performed via a key-value API.<\/p>\n<p>The following queries were used to perform the update-heavy workload.<\/p>\n<table style=\"width: 100%; float: left;\" border=\"1\">\n<tbody>\n<tr>\n<td style=\"background-color: #cedae8;\">\n<div style=\"text-align: center;\"><small><strong>Query<\/strong><\/small><\/div>\n<\/td>\n<td style=\"background-color: #cedae8;\">\n<div style=\"text-align: center;\"><small><strong>Couchbase Capella N1QL<\/strong><\/small><\/div>\n<\/td>\n<td style=\"background-color: #cedae8;\">\n<div style=\"text-align: center;\"><small><strong>Azure Cosmos DB<\/strong><\/small><\/div>\n<\/td>\n<\/tr>\n<tr>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">READ<\/code><\/td>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">collection.get(id, getOptions()<br \/>.timeout(kvTimeout))<\/code><\/td>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">container.readItem(id,<br \/> partitionKey, ObjectNode.class)<\/code><\/td>\n<\/tr>\n<tr>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">UPDATE<\/code><\/td>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">collection.upsert(id,<br \/> content, upsertOptions()<br \/>.timeout(kvTimeout)<br \/>.expiry(documentExpiry)<br \/>.durability(persistTo,<br \/> replicateTo))<\/code><\/td>\n<td><code style=\"color: black; font-size: 16px; background-color: #e6e6e6;\">container.getScripts()<br \/>.getStoredProcedure(\"update\")<br \/>.execute(updateArgs, options);<\/code><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>On a 6-node cluster, Azure Cosmos DB had a throughput of 6,640 ops\/sec, while Couchbase Capella had 42,404 ops\/sec. On an 18-node cluster, the throughput of Azure Cosmos DB and Couchbase Capella increased to 16,608 ops\/sec and 169,632 ops\/sec, respectively.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-update-heavy-workload.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-update-heavy-workload-1024x576.png\" width=\"720\" class=\"aligncenter size-large wp-image-64212\" \/><\/a><small>Throughput and latency for the update-heavy workload<\/small><\/center><\/p>\n<p>The throughput for both Couchbase Capella and Azure Cosmos DB grew as the cluster size increased. However, Couchbase Capella had higher throughput growth and a lower latency of a millisecond.<\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"More_performance_results\"><\/span>More performance results?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>To learn more about how we configured Couchbase Capella and Azure Cosmos DB, as well as how both performed in the evaluation, check out the full comparison. Besides the update-heavy workload and the pagination workload, the study also compares the DBaaS systems across three other scenarios: short-range scan (95% scans and 5% updates), pagination (100% reads, filtering with <code style=\"color: black; background-color: #e6e6e6;\">OFFSET<\/code> and <code style=\"color: black; background-color: #e6e6e6;\">LIMIT<\/code>), and <code style=\"color: black; background-color: #e6e6e6;\">JOIN<\/code> (with grouping and ordering applied).<\/p>\n<p>Download the full report <a href=\"https:\/\/www.altoros.com\/research-papers\/performance-evaluation-of-nosql-databases-as-a-service-2021-couchbase-capella-and-azure-cosmosdb\/\">here<\/a>.<\/p>\n<p><center><a href=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-preview-NoSQL-DBaaS-v2.png\"><img decoding=\"async\" src=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-preview-NoSQL-DBaaS-v2-1024x461.png\" alt=\"\" width=\"640\" class=\"aligncenter size-large wp-image-64720\" \/><\/a><\/center><\/p>\n<p>&nbsp;<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Further_reading\"><\/span>Further reading<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/dbaas-evaluation-couchbase-cloud-mongodb-atlas-and-amazon-dynamodb\/\">DBaaS Evaluation 2020: Couchbase Capella, MongoDB Atlas, and Amazon DynamoDB<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/nosql-comparison-2021-couchbase-server-mongodb-and-cassandra-datastax\/\">NoSQL Comparison 2021: Couchbase Server, MongoDB, and Cassandra (DataStax)<\/a><\/li>\n<li><a href=\"https:\/\/www.altoros.com\/blog\/comparing-database-query-languages-in-mysql-couchbase-and-mongodb\/\">Comparing Database Query Languages in MySQL, Couchbase, and MongoDB (2019)<\/a><\/li>\n<\/ul>\n<hr\/>\n<p><center><small>The post is written by <a href=\"https:\/\/www.altoros.com\/blog\/author\/carlo\/\">Carlo Gutierrez<\/a> with assistance from <a href=\"https:\/\/github.com\/ayudovin\/\" rel=\"noopener noreferrer\" target=\"_blank\">Artsiom Yudovin<\/a> and Ivan Shyrma.<\/small><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reducing the complexity of NoSQL systems<\/p>\n<p>NoSQL systems provide superior performance and better scalability compared to traditional relational databases. While NoSQL systems can help to achieve the performance required by workloads today, they also entail significant effort and time for deployment, configuration management, and support. Performance drops caused by lag or [&#8230;]<\/p>\n","protected":false},"author":32,"featured_media":64703,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[7],"tags":[894,692,895],"class_list":["post-64196","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-opinion","tag-benchmarking","tag-nosql","tag-research-and-development"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NoSQL DBaaS Comparison 2021: Couchbase Capella vs. Azure Cosmos DB | Altoros<\/title>\n<meta name=\"description\" content=\"Our new report compares two NoSQL databases as a service (DBaaS) while processing update-heavy, short-range scan, pagination, and JOIN workloads.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NoSQL DBaaS Comparison 2021: Couchbase Capella vs. Azure Cosmos DB | Altoros\" \/>\n<meta property=\"og:description\" content=\"Reducing the complexity of NoSQL systems NoSQL systems provide superior performance and better scalability compared to traditional relational databases. 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Performance drops caused by lag or [...]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/\" \/>\n<meta property=\"og:site_name\" content=\"Altoros\" \/>\n<meta property=\"article:published_time\" content=\"2021-10-29T00:02:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-12-20T22:46:11+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-performance-evaluation-NoSQL-DBaaS.gif\" \/>\n\t<meta property=\"og:image:width\" content=\"1280\" \/>\n\t<meta property=\"og:image:height\" content=\"720\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/gif\" \/>\n<meta name=\"author\" content=\"Carlo Gutierrez\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Carlo Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/\",\"url\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/\",\"name\":\"NoSQL DBaaS Comparison 2021: Couchbase Capella vs. Azure Cosmos DB | Altoros\",\"isPartOf\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-performance-evaluation-NoSQL-DBaaS.gif\",\"datePublished\":\"2021-10-29T00:02:38+00:00\",\"dateModified\":\"2021-12-20T22:46:11+00:00\",\"author\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/833e109f77de753b2b472dca0236b442\"},\"breadcrumb\":{\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#primaryimage\",\"url\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-performance-evaluation-NoSQL-DBaaS.gif\",\"contentUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/10\/Couchbase-Capella-Azure-Cosmos-DB-Q4-2021-performance-evaluation-NoSQL-DBaaS.gif\",\"width\":1280,\"height\":720},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.altoros.com\/blog\/nosql-dbaas-comparison-2021-couchbase-capella-vs-azure-cosmos-db\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.altoros.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"NoSQL DBaaS Comparison 2021: Couchbase Capella vs. Azure Cosmos DB\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#website\",\"url\":\"https:\/\/www.altoros.com\/blog\/\",\"name\":\"Altoros\",\"description\":\"Insight\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.altoros.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/833e109f77de753b2b472dca0236b442\",\"name\":\"Carlo Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.altoros.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/02\/CG_portrait-2-96x96.jpg\",\"contentUrl\":\"https:\/\/www.altoros.com\/blog\/wp-content\/uploads\/2021\/02\/CG_portrait-2-96x96.jpg\",\"caption\":\"Carlo Gutierrez\"},\"description\":\"Carlo Gutierrez is a Technical Writer at Altoros. 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