Cursor VS DataPortia
Compare Cursor VS DataPortia and see what are their differences
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DataPortia is an advanced industrial data acquisition and reporting software that connects to automation systems via OPC UA protocol. It stores time-series data in a PostgreSQL/TimescaleDB database and provides a web-based interface for real-time monitoring, trend analysis, and report generation.
Key Features: - Efficient data acquisition from automation systems via OPC UA protocol - Support for multiple simultaneous OPC UA connections with redundancy - Real-time dashboard with gauges, charts, bar charts, and tables - Interactive trend views with ECharts visualization and color customization - Comprehensive reporting with CSV and PDF export - Automated report scheduling (daily, weekly, monthly, custom) - AI-powered data analysis with local Ollama LLM (anomalies, forecasts, reports) - OPC UA Alarms & Conditions management with analytics and export - OPC UA history read from server historian - Calculation circuits (cumulative and non-cumulative formulas) - Tag transfer, copy and merge between connections - TimescaleDB time-series database with efficient compression and retention - Continuous aggregates (minute, hourly, daily, weekly) for fast queries - Automatic database backup and restore with scheduling - User management with role-based permissions (local or Azure AD) - Licensing: perpetual, trial, and floating licenses - Automatic HTTPS certificate management - API interface for third-party systems - Web interface for all devices (Finnish/English/Swedish/German)
System Requirements: - Windows 10/11 or Windows Server 2016+ (or Linux) - PostgreSQL 18 + TimescaleDB extension (included in setup) - Minimum 8 GB RAM (16 GB+ recommended) - Minimum 100 GB disk space (depending on data volume)
Cursor DataPortiaCursor is recommended for small to medium-sized businesses looking for an efficient customer relationship management (CRM) solution. It's ideal for teams that need an integrated system to manage customer interactions, support operations, and sales tracking.
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DataPortia's answer:
DataPortia is an early-stage product currently used by industrial automation companies in Finland. Our reseller partner PCS-Engineering Oy deploys DataPortia for their industrial clients. We are actively expanding to energy plants, district heating networks, and manufacturing facilities across the Nordics and DACH regions.
DataPortia's answer:
DataPortia is the only industrial data acquisition software that combines on-premises AI analytics with OPC UA connectivity โ all without any cloud dependency. What makes it unique:
Local AI analysis powered by Ollama LLM โ your process data never leaves your network. Supports anomaly detection, forecasting, cost optimization, and natural language queries directly on your production data.
Extreme throughput: handles 2,000+ measurement points per second across 10+ simultaneous OPC UA connections, storing up to 172 million rows per day in TimescaleDB.
True on-premises architecture โ no subscriptions to cloud services, no data leaving the plant. Critical for industries with strict cybersecurity and data sovereignty requirements.
4-language UI (Finnish, English, Swedish, German) built in โ not bolted on. Every screen, tooltip, help page, and AI prompt works natively in all four languages.
Runs on commodity hardware โ PostgreSQL + TimescaleDB instead of expensive proprietary historian databases. Compresses 126 billion rows into ~1.2 TB.
DataPortia's answer:
Compared to alternatives like Ignition, WinCC, Wonderware, or AVEVA:
No cloud lock-in: Unlike cloud-based IoT platforms, DataPortia runs entirely on-premises. Your data stays in your network โ no recurring cloud fees, no vendor dependency.
Built-in AI analytics: Competitors require separate, expensive AI add-ons or cloud services. DataPortia includes local AI analysis (anomaly detection, forecasting, cost optimization) out of the box via Ollama.
Lower total cost: Uses open-source PostgreSQL/TimescaleDB instead of proprietary historian databases. No per-tag licensing โ connect unlimited measurement points.
OPC UA native: Connects to any OPC UA-compatible system (Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, Rockwell) with built-in redundancy/failover.
Modern web interface: Responsive dashboards, interactive trends with drag-to-zoom, automated PDF/CSV reports โ accessible from any device without installing client software.
Free 30-day trial with full functionality, including AI features.
DataPortia's answer:
DataPortia serves industrial professionals who need reliable, real-time process data โ without cloud complexity:
Automation engineers managing OPC UA-connected control systems (PLC, SCADA, DCS)
Plant managers at energy plants, district heating networks, and manufacturing facilities who need dashboards and automated reports
Process engineers in power generation, water treatment, waste incineration, and process industry who analyze trends and optimize operations
IT/OT professionals responsible for on-premises data infrastructure and cybersecurity compliance
System integrators deploying monitoring solutions for industrial clients (Siemens PCS7, ABB, Valmet, Beckhoff environments)
The common thread: organizations that handle sensitive industrial data and need powerful analytics without sending data to the cloud.
DataPortia's answer:
DataPortia was born from a real gap in the industrial automation market. Traditional SCADA historians and reporting tools are either prohibitively expensive, locked into proprietary ecosystems, or require cloud connectivity that many industrial facilities cannot accept for security reasons.
Built by Atorcom in Karstula, Finland, DataPortia was designed from the ground up to solve this: give industrial operators a modern, affordable, and secure way to collect, visualize, and analyze their automation data โ entirely on-premises.
The product evolved through direct experience with Finnish energy plants and process facilities, where the need for local AI analytics became clear. In 2025, DataPortia integrated Ollama-based local LLM analysis, making it one of the first industrial data tools to offer AI-powered anomaly detection, forecasting, and cost optimization without any cloud dependency.
Today, DataPortia connects to any OPC UA automation system and processes thousands of measurement points per second โ all running on standard PostgreSQL/TimescaleDB, proving that industrial-grade performance doesn't require enterprise-grade pricing.
DataPortia's answer:
ASP.NET Core 9.0 (.NET 9) โ Backend framework, self-hosted Kestrel server
PostgreSQL 18 + TimescaleDB โ Time-series database with hypertables, compression, and continuous aggregates
OPC UA (OPCFoundation.NetStandard) โ Industrial automation connectivity protocol
Ollama โ Local large language model runtime for on-premises AI analysis
Entity Framework Core 9.0 + Dapper โ ORM and raw SQL queries
ECharts 5.6 โ Interactive chart visualization (dashboards, trends, analysis)
Microsoft.Identity.Web โ Optional Azure AD authentication
Based on our record, Cursor seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cursor has spent the past week in headlines after confirming a partnership with SpaceX that could eventually lead to a $60 billion acquisition. The deal, for now, centres on training more capable coding models using SpaceXโs compute infrastructure. - Source: dev.to / 1 day ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 13 days ago
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 13 days ago
If you donโt believe me, go to Google AI Studio, get you an API key, create a project, then open Cursor, add the key, add whatever model they have available to use, run a task and you will see how models like Gemini 3.5 or 2.5 Flash which gives you 5 Requests Per Minute and 20 Requests Per Day will scream at you with hitting a limit rate. - Source: dev.to / 20 days ago
Here is an example how to connect Prometheus DB to Cursor AI code editor. - Source: dev.to / 10 months ago
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