{"id":45496,"date":"2026-05-22T04:10:13","date_gmt":"2026-05-22T04:10:13","guid":{"rendered":"http:\/\/www.withdata.com\/blog\/?p=45496"},"modified":"2026-05-22T04:15:23","modified_gmt":"2026-05-22T04:15:23","slug":"filetomongo-5-0-released-enhanced-stability-speed-html-table-support","status":"publish","type":"post","link":"https:\/\/www.withdata.com\/blog\/pr\/filetomongo-5-0-released-enhanced-stability-speed-html-table-support.html","title":{"rendered":"FileToMongo 5.0 Released: Enhanced Stability, Speed &#038; HTML Table Support"},"content":{"rendered":"<p>May 5, 2026 \u2013 Withdata is pleased to announce the official release of <strong><a href=\"\/file-to-mongo\/\">FileToMongo<\/a> 5.0<\/strong>, the latest update to its powerful and easy-to-use tool for importing various file formats into <a href=\"\/tools\/mongodb\/list\">MongoDB<\/a>. This major release delivers key Linux compatibility fixes, faster import performance, improved <a href=\"\/tools\/file\/html\/list\">HTML<\/a> table parsing, and additional bug fixes to ensure more reliable data ingestion for developers, DevOps engineers, and data teams.<\/p>\n<h2>What\u2019s New in FileToMongo 5.0<\/h2>\n<h3>1. Fixed \u201ccall MongoDB library fail\u201d on Linux<\/h3>\n<p>This update resolves the critical issue that caused MongoDB library call failures on Linux systems. Linux users can now establish stable connections and run import tasks reliably, without unexpected interruptions.<\/p>\n<h3>2. Improved Importing Performance<\/h3>\n<p>FileToMongo 5.0 further optimizes core import logic to handle large\u2011scale data faster. Whether you are importing massive <a href=\"\/tools\/file\/json\/list\">JSON<\/a>, <a href=\"\/tools\/file\/csv\/list\">CSV<\/a>, <a href=\"\/tools\/file\/excel\/list\">Excel<\/a>, <a href=\"\/tools\/file\/sql\/list\">SQL<\/a>, or <a href=\"\/tools\/file\/xml\/list\">XML<\/a> files, you will experience higher throughput and lower memory usage, saving time on batch operations.<\/p>\n<h3>3. Enhanced HTML Table Reading<\/h3>\n<p>The tool now parses HTML tables more accurately and robustly. It better handles diverse table structures, irregular formatting, and nested elements, making web\u2011extracted data easier to import directly into MongoDB collections.<\/p>\n<h3>4. Additional Bug Fixes &amp; Improvements<\/h3>\n<p>Along with the major enhancements above, FileToMongo 5.0 includes a series of minor bug fixes and usability tweaks to strengthen stability, compatibility, and user experience across Windows, macOS, and Linux platforms.<\/p>\n<h2>About FileToMongo<\/h2>\n<p>FileToMongo helps users import data from files into MongoDB quickly and visually. It supports a wide range of formats including JSON, CSV, TSV, Excel, XML, HTML tables, SQL scripts, INI, RDF, and more. The tool offers cross\u2011platform support, command\u2011line automation, scheduled tasks, batch import, and advanced parsing for large files, making it ideal for daily data integration and migration work.<\/p>\n<h2>Upgrade Today<\/h2>\n<p>FileToMongo 5.0 is available for immediate <a href=\"\/file-to-mongo\/download.html\">download<\/a>. Existing users can update directly to benefit from better Linux compatibility, faster imports, and stronger HTML parsing. New users can download a free trial to explore all features.<\/p>\n<p>Withdata will keep improving FileToMongo based on user feedback, delivering a more efficient and stable experience for file\u2011to\u2011MongoDB data integration.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>May 5, 2026 \u2013 Withdata is pleased to announce the official release of FileToMongo 5.0, the latest update to its powerful and easy-to-use tool for importing various file formats into MongoDB. This major release delivers key Linux compatibility fixes, faster import performance, improved HTML table parsing, and additional bug fixes to ensure more reliable data [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[69],"tags":[13743,13742,3703,2553,1440,13744],"class_list":["post-45496","post","type-post","status-publish","format-standard","hentry","category-pr","tag-data-import","tag-filetomongo","tag-html-table","tag-linux","tag-mongodb","tag-performance"],"_links":{"self":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/comments?post=45496"}],"version-history":[{"count":3,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45496\/revisions"}],"predecessor-version":[{"id":45499,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/posts\/45496\/revisions\/45499"}],"wp:attachment":[{"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/media?parent=45496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/categories?post=45496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.withdata.com\/blog\/wp-json\/wp\/v2\/tags?post=45496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}