Software Alternatives, Accelerators & Startups

GitHub Copilot VS DataPortia

Compare GitHub Copilot VS DataPortia and see what are their differences

GitHub Copilot logo GitHub Copilot

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

DataPortia logo DataPortia

DataPortia is an industrial data acquisition software that connects to any OPC UA automation system. Collect, visualize, and analyze your process data in real time โ€” with on-premises AI powered by local LLMs.
  • GitHub Copilot Landing page
    Landing page //
    2023-10-03

Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.

  • DataPortia DataPortia customizable dashboard with gauge value chart bar and table widgets
    DataPortia customizable dashboard with gauge value chart bar and table widgets //
    2026-03-11
  • DataPortia DataPortia tabular report with aggregated industrial data and CSV PDF export options
    DataPortia tabular report with aggregated industrial data and CSV PDF export options //
    2026-03-11
  • DataPortia DataPortia interactive trend charts showing historical OPC UA process data visualization
    DataPortia interactive trend charts showing historical OPC UA process data visualization //
    2026-03-11
  • DataPortia DataPortia AI analysis wizard with anomaly detection and local LLM powered insights
    DataPortia AI analysis wizard with anomaly detection and local LLM powered insights //
    2026-03-11
  • DataPortia DataPortia OPC UA tag configuration with blocks categories and multilingual comments
    DataPortia OPC UA tag configuration with blocks categories and multilingual comments //
    2026-03-11
  • DataPortia DataPortia AI chat interface for natural language industrial data analysis
    DataPortia AI chat interface for natural language industrial data analysis //
    2026-03-11

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)

GitHub Copilot

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Startup details
Country
United States

DataPortia

Website
atorcom.fi
$ Details
paid Free Trial โ‚ฌ4000.0 / One-off (Price scales by number of OPC UA connections)
Platforms
Windows Linux
Release Date
2025 January
Startup details
Country
Finland
City
Karstula
Founder(s)
Antti Haaraniemi
Employees
1 - 9

GitHub Copilot features and specs

  • Productivity Boost
    GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
  • Learning Tool
    For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
  • Support for Multiple Languages
    Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
  • Context-Aware Suggestions
    Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
  • Integration with GitHub
    Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.

Possible disadvantages of GitHub Copilot

  • Code Quality Concerns
    The quality of the code generated by Copilot may vary, and it might introduce suboptimal code or practices that could lead to maintenance challenges.
  • Security Risks
    Copilot might suggest insecure code patterns or snippets, potentially introducing vulnerabilities into the project if not carefully reviewed by the developer.
  • Dependence on AI
    Over-reliance on Copilot's suggestions can lead to a lack of deep understanding of the code, which may hinder a developer's growth and problem-solving skills.
  • Licensing and Code Reuse Issues
    There are concerns about the legality and ethics of using AI-generated code snippets that might be derived from copyrighted sources, which can lead to licensing issues.
  • Limited Customizability
    Copilot may not always align with specific coding standards or preferences of a development team, and the ability to customize its behavior to enforce such standards is limited.

DataPortia features and specs

  • OPC UA protocol
    Efficient data acquisition from automation systems via OPC UA protocol
  • Dashboard
    Real-time dashboard with gauges, charts, bar charts, and tables
  • Trends
    Interactive trend views with ECharts visualization and color customization
  • Reports
    Comprehensive reporting with CSV and PDF export
  • Automated reports
    Automated report scheduling (daily, weekly, monthly, custom)
  • AI analysis
    AI-powered data analysis with local Ollama LLM (anomalies, forecasts, reports)
  • Alarms analysis
    OPC UA Alarms & Conditions management with analytics and export
  • Web interface
    Web interface for all devices (Finnish/English/Swedish/German)
  • Multiplatform
    Supports linux and windows platforms
  • API Access
    API Interface for third-party systems

Analysis of GitHub Copilot

Overall verdict

  • Overall, GitHub Copilot is a beneficial tool for many developers, especially those looking to increase their productivity and experiment with new coding styles. It can be seen as an intelligent coding assistant that complements a developer's workflow rather than replaces it.

Why this product is good

  • GitHub Copilot is considered good by many because it provides AI-assisted code completion and suggestions, which can significantly speed up coding tasks and improve productivity. It leverages OpenAI's advanced language models to offer context-aware snippets and solutions that can help developers write code more efficiently, reduce errors, and explore new coding approaches.

Recommended for

  • Software developers seeking to increase productivity
  • Beginner programmers looking for contextual code suggestions
  • Experienced developers interested in exploring and discovering alternative coding solutions
  • Teams aiming to standardize code quality and reduce time spent on routine coding tasks

GitHub Copilot videos

Game overโ€ฆ GitHub Copilot X announced

More videos:

  • Review - The New GitHub Copilot X Powered by GPT-4 is Here!
  • Review - GitHub Copilot X -- AI Programming Gets Better... and Scary.
  • Review - GitHub Copilot Review 2023: I Love It, But It's Not For Everyone
  • Review - Is Github Copilot Worth Paying For??

DataPortia videos

No DataPortia videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GitHub Copilot and DataPortia)
Developer Tools
100 100%
0% 0
Reporting & Dashboard
0 0%
100% 100
AI
100 100%
0% 0
Automation
0 0%
100% 100

Questions & Answers

As answered by people managing GitHub Copilot and DataPortia.

Who are some of the biggest customers of your product?

DataPortia's answer:

  • PCS-Engineering Oy (Finnish automation integrator and reseller partner)

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.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GitHub Copilot and DataPortia

GitHub Copilot Reviews

  1. Stan
    ยท Founder at SaaSHub ยท
    Indispensable

    It definitely increases my productivity.

    ๐Ÿ Competitors: Tabnine

11 Best AI Coding Assistants: Top Tools Every Developer Needs in 2025ย 
Accelerated handling of repetitive tasks: You already know how to write a pagination query or scaffold an endpoint, so why waste time? Tools like GitHub Copilot or Codeium handle the boilerplate so you can focus on actual logic. For SQL-focused projects, assistants like dbForge AI can help with routine query generation, allowing DBAs and analysts to concentrate on more...
Source: blog.devart.com
Cursor vs Windsurf vs GitHub Copilot
GitHub Copilot Chat is similar โ€” you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Cursor vs GitHub Copilot
GitHub Copilot Chat is similar โ€” you can ask it to explain code or suggest improvements. It's integrated right into VS Code, so it feels pretty seamless. They've been rolling out some new features lately, like better chat history, drag and & folders and ways to attach more context. But if you're already using Cursor, you might not find anything groundbreaking here.
Source: www.builder.io
Top 10 Vercel v0 Open Source Alternatives | Medium
Next up, we have GitHub Copilot, a popular AI-powered code completion tool thatโ€™s been making waves in the developer community. Built on top of OpenAI Codex, Copilot integrates seamlessly with various code editors and IDEs to provide intelligent code suggestions as you type.
Source: medium.com
10 Best Github Copilot Alternatives in 2024
GitHub Copilot is an excellent tool for developers, allowing them to boost their workflow and project quality. Are you looking for a GitHub Copilot alternative that fits your needs in 2024? Whether youโ€™re searching for a free GitHub Copilot alternative, an open-source alternative to GitHub Copilot, or a tool that works well with VSCode, this guide is here to help.

DataPortia Reviews

We have no reviews of DataPortia yet.
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Social recommendations and mentions

Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 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.

GitHub Copilot mentions (387)

  • I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.
    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
  • GitHub Copilot for Engineers: Getting Better Results
    You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
  • Agentic: Which App/Harness Is Best for Angular Development?
    For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
  • Your Design System Needs An MCP Server
    Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
  • Custom Copilot Agents: Building Domain-Expert AI Teammates with Skills, MCP Tools, and Custom Knowledge
    Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago
View more

DataPortia mentions (0)

We have not tracked any mentions of DataPortia yet. Tracking of DataPortia recommendations started around Mar 2026.

What are some alternatives?

When comparing GitHub Copilot and DataPortia, you can also consider the following products

Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.

Ignition App - Reclaim time, profitability and cash flow with Ignition by automating proposals, billing, payment collection and workflows in a single platform.

Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.

Adeptia - Adeptia Connect is an application to modernize the onboarding of data within the partner ecosystem using a self-service approach for business and IT.

Codeium - Free AI-powered code completion for *everyone*, *everywhere*

DataSci Pro - AI tools for data analysis, visualization, and data reports