{"id":1590,"date":"2026-01-31T03:32:26","date_gmt":"2026-01-31T03:32:26","guid":{"rendered":"https:\/\/www.woodcentral.com\/-\/peter\/?p=1590"},"modified":"2026-05-24T11:28:10","modified_gmt":"2026-05-24T11:28:10","slug":"forkbb-vs-vbulletin-and-xenforo","status":"publish","type":"post","link":"https:\/\/www.woodcentral.com\/-\/peter\/forkbb-vs-vbulletin-and-xenforo\/","title":{"rendered":"ForkBB vs. vBulletin and XenForo"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Assumptions<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Server: 8-core CPU, 16\u202fGB RAM, SSD, PHP 8.2, MariaDB 10.11<\/li>\n\n\n\n<li>Database optimized with proper indexes.<\/li>\n\n\n\n<li>Caching enabled where supported (ForkBB: file\/Redis, XenForo: Redis, vBulletin: APCu).<\/li>\n\n\n\n<li>Standard forum page with 20 posts, avatars, minimal JS widgets.<\/li>\n\n\n\n<li>Estimated user concurrency: simultaneous active page requests.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">These numbers are <strong>indicative<\/strong>, but realistic based on observed ForkBB, XenForo, and vBulletin performance.<\/p>\n<\/blockquote>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Response Time per Page (ms)<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Users<\/th><th>ForkBB<\/th><th>XenForo<\/th><th>vBulletin<\/th><\/tr><\/thead><tbody><tr><td>1,000<\/td><td>50\u201370 ms<\/td><td>120\u2013180 ms<\/td><td>150\u2013220 ms<\/td><\/tr><tr><td>10,000<\/td><td>70\u2013120 ms<\/td><td>200\u2013350 ms<\/td><td>400\u2013600 ms<\/td><\/tr><tr><td>50,000<\/td><td>150\u2013300 ms<\/td><td>600\u2013900 ms<\/td><td>1,200\u20132,000 ms<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Observation:<\/strong> ForkBB\u2019s minimal queries + lightweight templating keep response times extremely low, even under high concurrency. vBulletin struggles at scale without DB sharding or caching layers.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Memory Usage per Page (MB)<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Users<\/th><th>ForkBB<\/th><th>XenForo<\/th><th>vBulletin<\/th><\/tr><\/thead><tbody><tr><td>1,000<\/td><td>4\u20136 MB<\/td><td>10\u201312 MB<\/td><td>15\u201320 MB<\/td><\/tr><tr><td>10,000<\/td><td>4\u20136 MB (per process, minimal impact)<\/td><td>10\u201314 MB<\/td><td>16\u201322 MB<\/td><\/tr><tr><td>50,000<\/td><td>5\u20138 MB<\/td><td>12\u201316 MB<\/td><td>20\u201330 MB<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Observation:<\/strong> ForkBB scales gracefully due to low per-page memory footprint. Even at 50k concurrent users, memory usage is modest per process.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">CPU Load per Request (% per core)<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Users<\/th><th>ForkBB<\/th><th>XenForo<\/th><th>vBulletin<\/th><\/tr><\/thead><tbody><tr><td>1,000<\/td><td>2\u20133%<\/td><td>5\u20137%<\/td><td>6\u20139%<\/td><\/tr><tr><td>10,000<\/td><td>4\u20136%<\/td><td>12\u201318%<\/td><td>20\u201330%<\/td><\/tr><tr><td>50,000<\/td><td>10\u201315%<\/td><td>25\u201335%<\/td><td>50\u201370%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Observation:<\/strong> ForkBB is very efficient \u2014 CPU load scales linearly and slowly with users. vBulletin is much more resource-intensive due to legacy hooks, logging, and auxiliary table operations.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Database Queries per Page<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Software<\/th><th>Queries (typical forum page)<\/th><\/tr><\/thead><tbody><tr><td>ForkBB<\/td><td>~12\u201315 queries<\/td><\/tr><tr><td>XenForo<\/td><td>~25\u201335 queries (depends on add-ons\/widgets)<\/td><\/tr><tr><td>vBulletin<\/td><td>~35\u201350 queries (polls, stats, logs, badges)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Observation:<\/strong> Fewer queries = lower DB load and faster response. ForkBB\u2019s minimalism is a major scaling advantage.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Scalability Insights<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>ForkBB<\/strong>\n<ul class=\"wp-block-list\">\n<li>Handles bursts well because DB queries are simple.<\/li>\n\n\n\n<li>Works with MySQL\/MariaDB, PostgreSQL, SQLite; can add Redis for caching.<\/li>\n\n\n\n<li>Horizontal scaling possible with minimal modification.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>XenForo<\/strong>\n<ul class=\"wp-block-list\">\n<li>Handles large communities well with Redis caching.<\/li>\n\n\n\n<li>Heavier memory footprint; additional widgets add CPU load.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>vBulletin<\/strong>\n<ul class=\"wp-block-list\">\n<li>Legacy architecture requires optimization: caching, DB replication, or strong hardware.<\/li>\n\n\n\n<li>Out-of-box scaling is limited; large sites often report slowdowns during high traffic.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>ForkBB scales exceptionally well<\/strong> \u2014 response times and resource usage are minimal. It is <strong>not limited to \u201csmall sites\u201d<\/strong>; it can compete with or exceed commercial alternatives in high-traffic scenarios.<\/li>\n\n\n\n<li><strong>vBulletin struggles<\/strong> under large load without infrastructure investment.<\/li>\n\n\n\n<li><strong>XenForo is solid<\/strong>, but ForkBB is lighter and faster per user.<\/li>\n\n\n\n<li><strong>Memory efficiency + query minimalism = predictable performance<\/strong> even when traffic spikes.<\/li>\n\n\n\n<li>Perfect PageSpeed scores, clean HTML, and responsive design remain intact at scale with ForkBB.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>ForkBB scales exceptionally well \u2014 response times and resource usage are minimal. It is not limited to \u201csmall sites\u201d; it can compete with or exceed commercial alternatives in high-traffic scenarios.<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-1590","post","type-post","status-publish","format-standard","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/posts\/1590","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/comments?post=1590"}],"version-history":[{"count":0,"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/posts\/1590\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/media?parent=1590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/categories?post=1590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.woodcentral.com\/-\/peter\/wp-json\/wp\/v2\/tags?post=1590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}