Software Alternatives, Accelerators & Startups

DataPortia VS Socket for Python

Compare DataPortia VS Socket for Python and see what are their differences

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.

Socket for Python logo Socket for Python

Keep your Python code secure and compliant with Socket
  • 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)

  • Socket for Python Landing page
    Landing page //
    2023-09-02

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

Socket for Python

Website
socket.dev
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

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

Socket for Python features and specs

  • Security Focus
    Socket provides a primary emphasis on security, offering tools and features that help developers secure their Python applications and dependencies against various vulnerabilities.
  • Dependency Analysis
    The platform offers thorough analysis of dependencies, allowing developers to understand the security posture of third-party packages in their projects and manage them accordingly.
  • Ease of Integration
    Socket is designed to integrate seamlessly into existing Python development workflows, minimizing disruptions while enhancing security.
  • Real-time Monitoring
    Socket allows for real-time monitoring of package security, giving developers immediate alerts about newly discovered vulnerabilities or issues in their dependencies.

Possible disadvantages of Socket for Python

  • Learning Curve
    Developers new to security-focused tools might face a learning curve in understanding how to fully leverage Socket's features and capabilities.
  • Platform Limitations
    As with any tool, Socket may have limitations in compatibility with certain Python environments or frameworks, which could pose challenges for some projects.
  • Dependency on Tool
    Relying heavily on Socket for security may lead to a dependency on the platform, which could be a concern if there are outages or changes in support.
  • Possible Performance Overheads
    The security checks and real-time monitoring features, while beneficial, might introduce some performance overheads in the development process.

Category Popularity

0-100% (relative to DataPortia and Socket for Python)
AI Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100
Reporting & Dashboard
100 100%
0% 0
IDE
0 0%
100% 100

Questions & Answers

As answered by people managing DataPortia and Socket for Python.

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

Share your experience with using DataPortia and Socket for Python. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing DataPortia and Socket for Python, you can also consider the following products

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

Kite - Kite helps you write code faster by bringing the web's programming knowledge into your editor.

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.

Sourcery - Sourcery reviews your code everywhere you work and automatically suggests improvements

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