{"id":22920,"date":"2024-11-14T15:15:44","date_gmt":"2024-11-14T23:15:44","guid":{"rendered":"https:\/\/tdengine.com\/?page_id=22920"},"modified":"2026-01-29T16:34:21","modified_gmt":"2026-01-30T00:34:21","slug":"wonderware","status":"publish","type":"page","link":"https:\/\/tdengine.com\/wonderware\/","title":{"rendered":"TDengine vs. AVEVA Historian"},"content":{"rendered":"\n<div class=\"gb-element-4f27b1ff\">\n<div class=\"nt-container-inner gb-element-975e4d6c\">\n<div>\n<h1 class=\"gb-text gb-text-12d938cb\">TDengine vs. AVEVA Historian<\/h1>\n\n\n\n<p class=\"gb-text gb-text-4740cb96\">AVEVA Historian (formerly Wonderware Historian) served individual sites well for many years, but today\u2019s operational data demands require a faster and more robust company-wide approach. TDengine offers an enterprise-level solution with predictable costs, modern analytics, and a built-in AI copilot.<\/p>\n\n\n\n<div class=\"nt-container-herobutton\">\n<a class=\"gb-text nt-button-blue\" href=\"https:\/\/tdengine.com\/contact\/\">Request a Demo<\/a>\n\n\n\n<a class=\"gb-text nt-button-tr\" href=\"https:\/\/idmpdocs.tdengine.com\/en\/get-started\/get-started-docker\" target=\"_blank\" rel=\"noopener\">Try TDengine Free<\/a>\n<\/div>\n<\/div>\n\n\n\n<a href=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&sharp=1&w=2560\"><img decoding=\"async\" width=\"1748\" height=\"1040\" class=\"gb-media-ba8e14b0\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&sharp=1\" title=\"1\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&amp;sharp=1 1748w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3-300x178.png?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3-1024x609.png?strip=all&amp;sharp=1 1024w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3-768x457.png?strip=all&amp;sharp=1 768w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3-1536x914.png?strip=all&amp;sharp=1 1536w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&amp;sharp=1&amp;w=699 699w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&amp;sharp=1&amp;w=1398 1398w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/1-3.png?strip=all&amp;sharp=1&amp;w=450 450w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/><\/a>\n<\/div>\n<\/div>\n\n\n\n<div class=\"nt-container-outerwhite\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-f8f4a62f\">Upgrading to TDengine from AVEVA Historian<\/h2>\n\n\n\n<p class=\"gb-text gb-text-816116fd\">Industrial organizations are rapidly evolving from traditional plant-level historians to enterprise-wide operational data platforms. With more sensors, higher sampling frequencies, IoT expansion, and growing AI\/ML workloads, companies need infrastructure capable of scaling beyond the limits of legacy historians.<\/p>\n\n\n\n<h3 class=\"gb-text gb-text-309d7993\">Enterprise-Level Historian vs. Traditional Plant-Level Historian<\/h3>\n\n\n\n<div class=\"gb-element-e51941db\">\n<div>\n<p class=\"gb-text\"><strong>TDengine<\/strong> is a full-stack industrial data platform (IDP) designed to unify operational data across equipment, production lines, and facilities &#8212; similar to how the PI System serves as a real-time industrial data backbone, but built for today\u2019s cloud-native and AI-driven requirements.<\/p>\n\n\n\n<p>Rather than functioning as \u201cjust a TSDB,\u201d TDengine provides an <strong>enterprise operational data layer<\/strong> that includes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High-speed collection of OT, IIoT, and sensor data<\/li>\n\n\n\n<li>Distributed time-series storage<\/li>\n\n\n\n<li>Asset models and contextualization<\/li>\n\n\n\n<li>Real-time events and rules<\/li>\n\n\n\n<li>Streaming analytics<\/li>\n\n\n\n<li>Dashboards, KPIs, and visualization<\/li>\n\n\n\n<li>AI\/ML integration pipelines<\/li>\n\n\n\n<li>Cross-site operational data unification<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text\">TDengine is built to replace or augment PI System\u2013style architectures, delivering a modern, scalable, cloud-ready foundation for industrial digital transformation.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-5afa90f4\"><\/div>\n\n\n\n<div>\n<p class=\"gb-text\"><strong>AVEVA (Wonderware) Historian<\/strong>, in contrast, remains a classic plant-level historian optimized for SCADA\/HMI data logging, trending, and event capture.<\/p>\n\n\n\n<p class=\"gb-text\">AVEVA Historian is designed to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Log time-series values from SCADA\/HMI<\/li>\n\n\n\n<li>Store alarms and events<\/li>\n\n\n\n<li>Provide plant operators with trending and reporting<\/li>\n\n\n\n<li>Integrate tightly with Wonderware\/AVEVA control and HMI systems<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text\">It fulfills the classic historian role but was not designed for large-scale IIoT, multi-site data unification, cloud deployments, or advanced AI-driven analytics.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"nt-container-outerblue\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-5475fec9\" id=\"feature\">High-Level Feature Comparison<\/h2>\n\n\n\n<table id=\"tablepress-148\" class=\"tablepress tablepress-id-148\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Category<\/th><th class=\"column-2\">TDengine<\/th><th class=\"column-3\">AVEVA Historian<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Positioning<\/td><td class=\"column-2\">Enterprise industrial data platform (PI System alternative)<\/td><td class=\"column-3\">Traditional plant-level historian<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Operational scope<\/td><td class=\"column-2\">Multi-site, enterprise-wide, or single facility<\/td><td class=\"column-3\">Single facility only<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Data Model<\/td><td class=\"column-2\">Asset templates, metadata, hierarchical model tree<\/td><td class=\"column-3\">Tags + events only<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Analytics<\/td><td class=\"column-2\">Real-time analytics, events, streaming, and time-series forecasting and anomaly detection<\/td><td class=\"column-3\">Trending &amp; basic reporting<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">AI readiness<\/td><td class=\"column-2\">Support for LLMs and customized machine learning models (PyTorch, etc.)<\/td><td class=\"column-3\">No native support for AI or LLM capabilities<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Integrations<\/td><td class=\"column-2\">Open standards (OPC, MQTT, Kafka, SQL, cloud)<\/td><td class=\"column-3\">Tight coupling with AVEVA \/ Wonderware<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">Deployment options<\/td><td class=\"column-2\">On-premises, hybrid, and cloud<\/td><td class=\"column-3\">Primarily on-prem<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">Purpose<\/td><td class=\"column-2\">Enterprise OT data backbone<\/td><td class=\"column-3\">Plant historian<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-148 from cache --><\/div>\n<\/div>\n\n\n\n<div class=\"nt-container-outerwhite\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-add3e091\">Key Differences Between TDengine and AVEVA Historian<\/h2>\n\n\n\n<div class=\"gb-accordion nt-accordion-tutorial\" data-transition=\"slide\" data-accordion-multiple-open=\"true\">\n<div class=\"gb-accordion__item nt-accordionitem-tutorial\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-0418840d\" id=\"gb-accordion-toggle-0418840d\">\n<h3 class=\"gb-text gb-text-48578f61\">Data Modeling &amp; Contextualization vs. Storage-focused Solution<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-3c02d039\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-d90a1379\">\n<div class=\"gb-element-ee99f97b\">\n<div>\n<p class=\"gb-text\">Like PI AF, TDengine provides:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Equipment and system hierarchies<\/li>\n\n\n\n<li>Metadata and semantic models<\/li>\n\n\n\n<li>Template-based KPIs<\/li>\n\n\n\n<li>Standardized data definitions across sites<\/li>\n\n\n\n<li>Contextualized data for analytics and AI<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text\">This turns raw historian data into structured, meaningful information aligned with the equipment and processes it represents.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-b62b5005\"><\/div>\n\n\n\n<div>\n<p class=\"gb-text\">AVEVA Historian:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Stores time-series values and events<\/li>\n\n\n\n<li>Minimal contextual modeling<\/li>\n\n\n\n<li>Requires external tools for standards, KPIs, and analytics<\/li>\n\n\n\n<li>Harder to maintain consistency across plants<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item nt-accordionitem-tutorial\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-6fcee406\" id=\"gb-accordion-toggle-6fcee406\">\n<h3 class=\"gb-text gb-text-6f414af3\">Advanced Real-time Analytics vs. Basic Reporting<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-0ad33174\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-0f481ae3\">\n<div class=\"gb-element-5d6fc9cf\">\n<div>\n<p class=\"gb-text\">TDengine includes a complete operational analytics layer:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Real-time event and rule engine<\/li>\n\n\n\n<li>Streaming analytics<\/li>\n\n\n\n<li>Live dashboards and KPIs<\/li>\n\n\n\n<li>AI-ready pipelines with SQL, Python, Spark, Kafka, etc.<\/li>\n\n\n\n<li>Cross-site anomaly detection and predictive maintenance<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text\">This enables true operational intelligence across the entire enterprise.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-b18c4130\"><\/div>\n\n\n\n<div>\n<p class=\"gb-text\">AVEVA Historian:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Trending and reporting<\/li>\n\n\n\n<li>Often requires add-ons or third-party tools for advanced analytics<\/li>\n\n\n\n<li>Not designed for real-time ML or enterprise-wide monitoring<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item nt-accordionitem-tutorial\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-13074474\" id=\"gb-accordion-toggle-13074474\">\n<h3 class=\"gb-text gb-text-1db786d0\">Open Ecosystem vs. Vendor Lock-in<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-9a657d47\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-a2cdc686\">\n<div class=\"gb-element-cda97629\">\n<div>\n<p class=\"gb-text\">TDengine supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>OPC UA &amp; DA<\/li>\n\n\n\n<li>MQTT &amp; industrial IoT brokers<\/li>\n\n\n\n<li>Kafka, Spark, Flink<\/li>\n\n\n\n<li>Grafana, Power BI<\/li>\n\n\n\n<li>SQL APIs &amp; REST APIs<\/li>\n\n\n\n<li>Containers &amp; Kubernetes<\/li>\n\n\n\n<li>Cloud platforms (AWS, Azure, GCP)<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"gb-element-ed017850\"><\/div>\n\n\n\n<div>\n<p class=\"gb-text\">AVEVA Historian supports:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Strong integration with Wonderware\/AVEVA products<\/li>\n\n\n\n<li>Limited cloud-native features<\/li>\n\n\n\n<li>Proprietary ecosystem<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item nt-accordionitem-tutorial\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-1354363e\" id=\"gb-accordion-toggle-1354363e\">\n<h3 class=\"gb-text gb-text-51e884e1\">When to Choose TDengine vs. AVEVA Historian<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-ada2c73a\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewBox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-7212e6c6\">\n<div class=\"gb-element-048d0ac0\">\n<div>\n<p class=\"gb-text\">TDengine is the best fit when you need:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Enterprise-wide industrial data infrastructure<\/strong><\/li>\n\n\n\n<li>Multi-site operational data unification<\/li>\n\n\n\n<li>Real-time analytics and operational intelligence<\/li>\n\n\n\n<li>Asset models, KPIs, and contextualization<\/li>\n\n\n\n<li>Cloud and hybrid deployment options<\/li>\n\n\n\n<li>Scalable ingestion from IIoT and high-frequency sensors<\/li>\n\n\n\n<li>AI\/ML pipelines and predictive analytics<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text\">TDengine is designed to serve as a <strong>modern alternative to legacy historians and PI System architectures<\/strong>.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-bd1bf590\"><\/div>\n\n\n\n<div>\n<p class=\"gb-text\">AVEVA Historian may be suitable when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>All operations occur within a single plant<\/li>\n\n\n\n<li>You only need basic SCADA\/HMI history and trending<\/li>\n\n\n\n<li>You are tightly integrated with Wonderware HMI\/SCADA<\/li>\n\n\n\n<li>Data volumes and analytics needs are modest<\/li>\n\n\n\n<li>Cloud scalability is not a priority<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"gb-text gb-text-2f5cbf90\">Final Verdict: TDengine vs. AVEVA Historian<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>TDengine<\/strong> is a <strong>full-stack industrial data platform<\/strong>\u2014a modern, cloud-native alternative to PI System\u2013style architectures, built for cross-site data unification, real-time analytics, and AI-driven operations.<\/li>\n\n\n\n<li><strong>AVEVA Historian<\/strong> is a <strong>traditional, single-site historian<\/strong> suitable for basic SCADA logging and trending but not designed for enterprise digital transformation.<\/li>\n<\/ul>\n\n\n\n<p class=\"gb-text gb-text-01df57c2\">For organizations aiming to modernize their operations, consolidate industrial data, and deploy AI-driven analytics at scale,<br><strong>TDengine offers a full-stack, cost-effective, and future-ready foundation.<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"nt-container-outerblue gb-element-91eba842\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-c644d727\">Migrate from AVEVA Historian to TDengine Today<\/h2>\n\n\n\n<div class=\"gb-element-6b144552\">\n<a class=\"gb-element-14ac110c\" href=\"https:\/\/tdengine.com\/modernize-your-wonderware-sites-with-tdengine\/\">\n<p class=\"gb-text\">TDengine provides a path forward for Wonderware customers, overcoming its performance limitations and centralizing data from multiple sites into a single source of truth.<\/p>\n\n\n\n<p class=\"gb-text gb-text-6066eeab\">Modernize Your Wonderware Sites with TDengine<\/p>\n\n\n\n<div class=\"gb-element-7f5fd768\">\n<img decoding=\"async\" width=\"256\" height=\"256\" class=\"gb-media-1939592e\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&sharp=1\" title=\"29.04-15 jhtao\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1 256w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao-150x150.jpg?strip=all&amp;sharp=1 150w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1&amp;w=51 51w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1&amp;w=204 204w\" sizes=\"(max-width: 256px) 100vw, 256px\" \/>\n\n\n\n<div class=\"gb-element-f486865d\">\n<p class=\"gb-text gb-text-55287934\">by Jeff Tao<\/p>\n\n\n\n<p class=\"gb-text gb-text-dfc84434\">November 24, 2025<\/p>\n<\/div>\n<\/div>\n<\/a>\n\n\n\n<a class=\"gb-element-6f522785\" href=\"https:\/\/tdengine.com\/ingest-data-from-wonderware-historian\/\">\n<p class=\"gb-text\">This guide will walk through how to pull data from Wonderware Historian and ingest it into TDengine, either migrating from Wonderware or synchronizing existing data.<\/p>\n\n\n\n<p class=\"gb-text gb-text-c24a5b7e\">Ingest Data from Wonderware Historian<\/p>\n\n\n\n<div class=\"gb-element-310b3a48\">\n<img decoding=\"async\" width=\"400\" height=\"400\" class=\"gb-media-46e78eb6\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new.jpg?strip=all&sharp=1\" title=\"aarulraj-new\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new.jpg?strip=all&amp;sharp=1 400w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new-300x300.jpg?strip=all&amp;sharp=1 300w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new-150x150.jpg?strip=all&amp;sharp=1 150w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new.jpg?strip=all&amp;sharp=1&amp;w=80 80w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/aarulraj-new.jpg?strip=all&amp;sharp=1&amp;w=240 240w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/>\n\n\n\n<div class=\"gb-element-1b55d6a6\">\n<p class=\"gb-text gb-text-6ba3b12d\">by Arun Arulraj<\/p>\n\n\n\n<p class=\"gb-text gb-text-1e27807d\">November 25, 2025<\/p>\n<\/div>\n<\/div>\n<\/a>\n\n\n\n<a class=\"gb-element-94746107\" href=\"https:\/\/tdengine.com\/data-sharing\/\">\n<p class=\"gb-text\">Data sharing plays a crucial role in driving digital transformation, fostering innovation, and improving overall efficiency in industrial operations.<\/p>\n\n\n\n<p class=\"gb-text gb-text-0f238e8b\">Share Industrial Data Easily and Securely<\/p>\n\n\n\n<div class=\"gb-element-66b77d67\">\n<img decoding=\"async\" width=\"256\" height=\"256\" class=\"gb-media-aba1309e\" alt=\"\" src=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&sharp=1\" title=\"29.04-15 jhtao\" srcset=\"https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1 256w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao-150x150.jpg?strip=all&amp;sharp=1 150w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1&amp;w=51 51w, https:\/\/eujqw4hwudm.exactdn.com\/wp-content\/uploads\/29.04-15-jhtao.jpg?strip=all&amp;sharp=1&amp;w=204 204w\" sizes=\"(max-width: 256px) 100vw, 256px\" \/>\n\n\n\n<div class=\"gb-element-ded3910e\">\n<p class=\"gb-text gb-text-4757d9c5\">by Jeff Tao<\/p>\n\n\n\n<p class=\"gb-text gb-text-76e14a9a\">September 4, 2025<\/p>\n<\/div>\n<\/div>\n<\/a>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"nt-container-outerwhite\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-0320618d\">Frequently Asked Questions<\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1764602428294\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Is TDengine a replacement for AVEVA Historian?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. TDengine can replace or augment AVEVA Historian with modern, enterprise-wide industrial data capabilities.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1764602438135\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Is TDengine similar to PI System?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. TDengine functions as a <strong>modern PI System alternative<\/strong>, delivering real-time industrial data infrastructure, asset modeling, analytics, and cross-site unification.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1764602448631\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Can TDengine run on cloud or hybrid environments?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. TDengine is cloud-native and supports Kubernetes, containers, and hybrid deployments.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1764602457319\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Can TDengine be integrated with Wonderware?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. TDengine provides dedicated connectors to ingest Wonderware Historian data and tag structures.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-e2a332f8\">\n<div class=\"nt-container-inner\">\n<h2 class=\"gb-text gb-text-03a34336\">Take the Next Step<\/h2>\n\n\n\n<div class=\"nt-container-ctbutton\">\n<a class=\"gb-text gb-text-017feb88\" href=\"https:\/\/tdengine.com\/contact\/\">Request a Demo<\/a>\n\n\n\n<a class=\"gb-text gb-text-dcd1d67b\" href=\"https:\/\/idmpdocs.tdengine.com\/en\/get-started\/get-started-docker\">Try TDengine Free<\/a>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>TDengine vs. AVEVA Historian AVEVA Historian (formerly Wonderware Historian) served individual sites well for many years, but today\u2019s operational data demands require a faster and more robust company-wide approach. TDengine offers an enterprise-level solution with predictable costs, modern analytics, and a built-in AI copilot. Request a Demo Try TDengine Free Upgrading to TDengine from AVEVA &#8230; <a title=\"TDengine vs. AVEVA Historian\" class=\"read-more\" href=\"https:\/\/tdengine.com\/wonderware\/\" aria-label=\"Read more about TDengine vs. AVEVA Historian\">Read more<\/a><\/p>\n","protected":false},"author":102,"featured_media":29961,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"categories":[270],"tags":[],"ppma_author":[181],"class_list":{"0":"post-22920","1":"page","2":"type-page","3":"status-publish","4":"has-post-thumbnail","6":"category-fwp"},"_links":{"self":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/pages\/22920","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/users\/102"}],"replies":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/comments?post=22920"}],"version-history":[{"count":15,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/pages\/22920\/revisions"}],"predecessor-version":[{"id":30666,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/pages\/22920\/revisions\/30666"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media\/29961"}],"wp:attachment":[{"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/media?parent=22920"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/categories?post=22920"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/tags?post=22920"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/tdengine.com\/wp-json\/wp\/v2\/ppma_author?post=22920"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}