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Head-to-head · IoT Analytics Software

Apache IoTDB vs AVEVA PI System

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Apache IoTDB #1 in IoT Analytics Software 9.3/10 Open source ✓ 0 of 4 features Visit Apache IoTDB
AVEVA PI System #8 in IoT Analytics Software 8.5/10 Pricing on request ✓ 2 of 4 features Visit AVEVA

Apache IoTDB leads on 0 checks, AVEVA PI System on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache IoTDB · 9.3/10
  • Most featuresAVEVA PI System · 2 of 4

Apache IoTDB scores higher on our rubric for iot analytics software: 9.3 against 8.5 out of 10; our editors rank them #1 and #8.

Apache IoTDB is the better fit for open-source IoT time-series analytics teams. AVEVA PI System is the better fit for industrial operations needing contextual time-series data.

  • Apache IoTDB fits best

    Open-source IoT time-series analytics teams

  • AVEVA PI System fits best

    Industrial operations needing contextual time-series data

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Side by side

Feature Apache IoTDB 9.3/10 Visit ↗ AVEVA PI System 8.5/10 Visit ↗
At a glance
Editor score 9.3 8.5
Ranking #1 in IoT Analytics Software #8 in IoT Analytics Software
Best for Open-source IoT time-series analytics teams Industrial operations needing contextual time-series data
Pricing model Free Paid
Starting price Open source Pricing on request
Free plan Not checked yet Not checked yet
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud, Self-hosted
Platforms Web, Windows, Linux Web
Support Community, Docs Tickets, Community, Docs
Integrations 4 integrations 8 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache IoTDB 0/4 · AVEVA PI System 2/4
Custom dashboards Not checked yet ✓ (best)
SQL querying Not checked yet Not checked yet
Anomaly detection Not checked yet ✓ (best)
Machine learning tools Not checked yet Not checked yet
Specs
Device limit Not checked yet Not checked yet
Data retention Not checked yet Not checked yet
Stream processing Not checked yet Real-time
Our review
Pros
  • SQL querying with tree and table data models
  • High-throughput ingestion with APIs, MQTT, REST, CSV, and TsFile
  • Retention controls, clustering, and broad analytics integrations
  • High-volume, real-time time-series collection and storage
  • Asset frameworks organize metadata, models, hierarchies, and templates
  • Edge, on-premises, and cloud data management with analytics support
Cons
  • Requires self-managed deployment and operational ownership
  • Its IoT-native focus may exceed simpler analytics needs
  • Advanced use may require familiarity with IoTDB SQL dialects
  • Subscription pricing requires contacting sales
  • Capabilities depend on the licensed portfolio components
  • Focused on industrial operations rather than general-purpose analytics
Our verdict

Apache IoTDB is an open-source, IoT-native time-series database for organizations managing large volumes of device and sensor data. It is designed for industrial applications including energy, transportation, aerospace, manufacturing, and…

Read the review →

AVEVA PI System is an industrial operations data platform for collecting, storing, contextualizing, visualizing, and analyzing real-time information from equipment, sensors, and control systems. It is designed for operators, engineers,…

Read the review →
  1. Apache IoTDBIoT Analytics Software 9.3Open source
  2. AVEVA PI SystemIoT Analytics Software 8.5Pricing on request

Strengths and trade-offs

  • Apache IoTDB — where it wins

    • SQL querying with tree and table data models
    • High-throughput ingestion with APIs, MQTT, REST, CSV, and TsFile
    • Retention controls, clustering, and broad analytics integrations

    Where it doesn't

    • Requires self-managed deployment and operational ownership
    • Its IoT-native focus may exceed simpler analytics needs
    • Advanced use may require familiarity with IoTDB SQL dialects
  • AVEVA PI System — where it wins

    • High-volume, real-time time-series collection and storage
    • Asset frameworks organize metadata, models, hierarchies, and templates
    • Edge, on-premises, and cloud data management with analytics support

    Where it doesn't

    • Subscription pricing requires contacting sales
    • Capabilities depend on the licensed portfolio components
    • Focused on industrial operations rather than general-purpose analytics

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update