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Modernize Your Wonderware Sites with TDengine

Jeff Tao

November 24, 2025 /

When it comes to stability, Wonderware Historian (now known as AVEVA Historian) has been the name of the game for decades. It’s built on a rock-solid foundation that ensures essential data is never lost and unplanned outages don’t 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.

That said, the requirements of today’s 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’s performance just isn’t up to the task. Performance-heavy queries return results slowly, and sometimes time out without returning anything at all. And although Wonderware’s visualization tools are a great fit for their customers’ use cases, it’s not possible to get a global view of multiple Wonderware Historian sites, meaning that data can easily become siloed.

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 instance, deployed in the cloud or on-premises in your data center. You can then run queries in TDengine’s high-performance time-series database, 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.

After your data is ingested into TDengine TSDB, you can start using our AI-native industrial data management platform TDengine IDMP 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, OPC, MQTT, 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.

If you’re a Wonderware / AVEVA Historian user looking to modernize your sites with a high-performance industrial data system, contact us today and see how easily we can ingest your existing data and start a seamless transition to a more efficient and cost-effective infrastructure.

  • Jeff Tao

    With over three decades of hands-on experience in software development, Jeff has had the privilege of spearheading numerous ventures and initiatives in the tech realm. His passion for open source, technology, and innovation has been the driving force behind his journey.

    As one of the core developers of TDengine, he is deeply committed to pushing the boundaries of time series data platforms. His mission is crystal clear: to architect a high performance, scalable solution in this space and make it accessible, valuable and affordable for everyone, from individual developers and startups to industry giants.