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8 posts tagged with "scada"

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MachineCDN vs Wonderware (Schneider Electric AVEVA): Legacy SCADA vs Cloud-Native IIoT for Manufacturing

· 8 min read
MachineCDN Team
Industrial IoT Experts

Wonderware has been a fixture on factory floors since the 1980s. Now part of Schneider Electric's AVEVA portfolio, it remains one of the most widely deployed SCADA/HMI platforms in manufacturing. But the manufacturing world has shifted. Cloud-native IIoT platforms like MachineCDN are challenging the assumptions that made Wonderware dominant — and many plants are discovering that the gap between legacy SCADA and modern IIoT is wider than they expected.

AVEVA Pricing in 2026: What Does AVEVA Actually Cost for Manufacturing?

· 9 min read
MachineCDN Team
Industrial IoT Experts

AVEVA (formerly Wonderware, now part of Schneider Electric) has been a dominant force in industrial software for over 30 years. Their products — InTouch HMI, System Platform, Historian, MES, and the newer AVEVA PI System (from the OSIsoft acquisition) — run in thousands of manufacturing plants worldwide. If you've worked in manufacturing for any length of time, you've probably touched an AVEVA product.

But AVEVA's pricing has always been opaque, and the landscape has shifted dramatically since Schneider Electric completed its full acquisition in 2023. Here's what AVEVA actually costs in 2026, what's changed, and whether it still makes sense for your manufacturing operation.

Best SCADA Alternatives in 2026: Modern Platforms That Replace Legacy Systems

· 10 min read
MachineCDN Team
Industrial IoT Experts

SCADA systems have been the backbone of industrial monitoring for four decades. They've earned their place — when a plant needed visibility into process variables, alarms, and equipment status, SCADA was the only game in town.

But here's what's happening in 2026: manufacturers aren't replacing their SCADA systems because SCADA stopped working. They're looking for alternatives because SCADA was built for a world that no longer exists — a world where data lived on-premise, where remote access meant a VPN headache, where adding a new data point required an integrator and a purchase order.

The modern manufacturing floor demands real-time cloud analytics, mobile access, AI-powered predictive maintenance, and deployments measured in minutes, not months. Legacy SCADA can't deliver that. These alternatives can.

Modern SCADA Alternatives: Why Manufacturers Are Moving Beyond Traditional SCADA to Cloud-Native IIoT

· 9 min read
MachineCDN Team
Industrial IoT Experts

SCADA systems have been the backbone of industrial automation since the 1970s. They were revolutionary when operators needed centralized visibility into distributed processes. But fifty years later, many manufacturers are running SCADA architectures that were designed before the internet existed — proprietary protocols, on-premises servers, thick-client HMIs, and licensing models that charge per tag. Modern IIoT platforms offer everything SCADA does, plus predictive analytics, AI-driven insights, remote access, and deployment timelines measured in minutes instead of months. Here's why the shift is happening and what it means for your plant.

MachineCDN vs GE iFIX (Proficy): Legacy SCADA vs Modern IIoT Platform for Manufacturing

· 9 min read
MachineCDN Team
Industrial IoT Experts

GE's iFIX has been a staple of manufacturing automation for decades. As part of the Proficy suite (now under GE Vernova's banner), it's installed in thousands of plants worldwide for supervisory control and data acquisition. But SCADA systems designed in the 1990s were built for a fundamentally different era — one where "analytics" meant trend charts and "connectivity" meant serial cables running to a control room PC.

Today's manufacturing challenges demand more. Unplanned downtime costs automotive manufacturers an estimated $22,000 per minute. Predictive maintenance, edge-to-cloud analytics, and remote multi-plant monitoring aren't nice-to-haves — they're the difference between competitive manufacturing and a shrinking margin business.

This comparison evaluates where GE iFIX still delivers value and where MachineCDN's modern IIoT architecture offers a fundamentally better approach.

MachineCDN vs Ignition (Inductive Automation): SCADA vs Cloud IIoT in 2026

· 9 min read
MachineCDN Team
Industrial IoT Experts

Ignition by Inductive Automation has been a favorite among manufacturing engineers for over a decade — a powerful, developer-friendly SCADA platform with an unlimited licensing model. MachineCDN is a cloud-native IIoT platform that connects to PLCs in minutes. Both give you visibility into your machines, but they represent two different eras of industrial software. Here's what matters for your decision.

The Future of SCADA: Why Legacy Systems Are Losing Ground to Cloud-Native IIoT Platforms

· 11 min read
MachineCDN Team
Industrial IoT Experts

SCADA (Supervisory Control and Data Acquisition) has been the backbone of industrial operations for four decades. From water treatment plants to oil refineries to discrete manufacturing lines, SCADA systems have provided the real-time monitoring and control that keeps industrial processes running. Every manufacturing engineer over 30 learned SCADA. Every plant over 20 years old runs on it.

MachineCDN vs AVEVA: IIoT Platform Comparison for Discrete and Process Manufacturing

· 9 min read
MachineCDN Team
Industrial IoT Experts

AVEVA, now part of Schneider Electric following the $14 billion acquisition completed in 2023, is one of the oldest names in industrial software. Their portfolio spans process simulation, SCADA/HMI, MES, historian, and enterprise performance management — serving industries from oil refining to pharmaceutical manufacturing.

MachineCDN approaches industrial intelligence from the opposite direction: a purpose-built platform for manufacturing operations that prioritizes rapid deployment, predictive maintenance, and operational simplicity over process simulation and DCS integration.

This comparison examines where each platform delivers value, the realistic costs and timelines involved, and which manufacturing environments best suit each approach.