{"id":20211,"date":"2025-11-24T07:00:50","date_gmt":"2025-11-24T15:00:50","guid":{"rendered":"https:\/\/tdengine.com\/?p=20211"},"modified":"2025-11-24T07:00:51","modified_gmt":"2025-11-24T15:00:51","slug":"modernize-your-wonderware-sites-with-tdengine","status":"publish","type":"post","link":"https:\/\/tdengine.com\/modernize-your-wonderware-sites-with-tdengine\/","title":{"rendered":"Modernize Your Wonderware Sites with TDengine"},"content":{"rendered":"\n

When it comes to stability, Wonderware Historian (now known as AVEVA Historian) has been the name of the game for decades. It\u2019s built on a rock-solid foundation that ensures essential data is never lost and unplanned outages don\u2019t occur — in the event of an incident, the system can fail over to a standby node in only 1 second. Wonderware customers know that they can depend on its data historian to form the core of their industrial data infrastructure and have relied on it for years.<\/p>\n\n\n\n

That said, the requirements of today\u2019s industrial applications are more data-intensive than ever before — modern analytics applications query larger data sets and require lower latency than were imaginable when Wonderware was originally designed — and unfortunately Wonderware\u2019s performance just isn\u2019t up to the task. Performance-heavy queries return results slowly, and sometimes time out without returning anything at all. And although Wonderware\u2019s visualization tools are a great fit for their customers\u2019 use cases, it\u2019s not possible to get a global view of multiple Wonderware Historian sites, meaning that data can easily become siloed.<\/p>\n\n\n\n

With our zero-code Wonderware connector, TDengine is providing a path forward for customers who want to continue benefiting from the legendary stability of Wonderware while overcoming its performance limitations and centralizing data from multiple sites into a single source of truth. By deploying TDengine on top of Wonderware Historian, you can replicate historical and live data from all your Wonderware sites into a single TDengine TSDB<\/a> instance, deployed in the cloud or on-premises in your data center. You can then run queries in TDengine\u2019s high-performance time-series database<\/a>, ensuring blazing fast response times even with petabytes of data generated per day. And because TDengine TSDB supports standard SQL, Wonderware operators can get started easily and make use of their existing knowledge without lengthy retraining.<\/p>\n\n\n\n

\n\"\"<\/a>\n<\/figure>\n\n\n\n

After your data is ingested into TDengine TSDB, you can start using our AI-native industrial data management platform TDengine IDMP<\/a> to perform asset modeling, visualization, and advanced analytics on your dataset. TDengine’s range of industrial data connectors also enables you to consolidate data from other sites running PI System<\/a>, OPC<\/a>, MQTT<\/a>, and more, and you can integrate your favorite third-party components like Grafana or Power BI into your infrastructure for even more freedom and capabilities.<\/p>\n\n\n\n

If you’re a Wonderware \/ AVEVA Historian user looking to modernize your sites with a high-performance industrial data system, contact us today<\/a> and see how easily we can ingest your existing data and start a seamless transition to a more efficient and cost-effective infrastructure.<\/p>\n","protected":false},"excerpt":{"rendered":"

TDengine’s new Wonderware connector overcomes the performance limitations of Wonderware Historian and centralizes data from multiple sites.<\/p>\n","protected":false},"author":2,"featured_media":20254,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[21],"tags":[],"ppma_author":[120],"class_list":["post-20211","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-engineering"],"authors":[{"term_id":120,"user_id":2,"is_guest":0,"slug":"jianhui-tao","display_name":"Jeff Tao","avatar_url":{"url":"https:\/\/tdengine.com\/wp-content\/uploads\/29.04-15-jhtao.jpg","url2x":"https:\/\/tdengine.com\/wp-content\/uploads\/29.04-15-jhtao.jpg"},"1":"","2":"","3":"","4":"","5":"","6":"","7":"","8":""}],"_links":{"self":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/20211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/comments?post=20211"}],"version-history":[{"count":13,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/20211\/revisions"}],"predecessor-version":[{"id":29789,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/posts\/20211\/revisions\/29789"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media\/20254"}],"wp:attachment":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media?parent=20211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/categories?post=20211"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/tags?post=20211"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/ppma_author?post=20211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}