2 Best Open Source AVEVA PI System Alternatives
A curated collection of the 2 best open source and self-hosted alternatives to AVEVA PI System in 2026.
Looking for a free, privacy-friendly, or self-hosted replacement for AVEVA PI System in 2026? The top open-source alternative is TDengine — Open-source time-series database for industrial data.
Other highly rated open-source AVEVA PI System alternatives include Apache IoTDB.
Open-source time-series database for industrial data
TDengine is a high-performance, open-source time-series database designed for industrial data management. It combines time-series storage, asset modeling, and AI agents into a unified platform. - Time-Series Database: Optimized for high-speed data ingestion and storage of time-series data. - AI-Native Platform: Integrates AI applications directly into the data platform for advanced analytics. - Asset Modeling: Supports structured modeling of industrial assets and their relationships. - Visualization & Analytics: Built-in tools for data visualization and real-time analytics. - Scalability: Designed to handle large-scale industrial data workloads efficiently. - Free Tier: Offers a free forever tier for up to 5,000 tags. - Multi-Platform Support: Available as a self-hosted solution or via cloud deployment. TDengine is open-source and can be self-hosted on Linux, Windows, or macOS. It supports Docker for easy deployment and offers cloud-based solutions for managed services. The platform is designed for high availability and low-latency data processing, making it suitable for industrial applications.
Industrial IoT time-series database for edge-cloud data
Apache IoTDB is an industrial IoT time-series database management system that adopts a lightweight architecture with edge-cloud collaboration, supporting integrated collection, storage, management, and analysis of IoT time-series data. It features multi-protocol compatibility, ultra-high compression ratio, high-throughput read/write capabilities, industrial-grade stability, and minimal maintenance requirements. Download Quick Start - High-throughput read/write: Supports millions of low-power IoT devices with lightning-fast data retrieval and storage. - Efficient directory structure: Organizes complex IoT data structures with fuzzy searching for large-scale time-series datasets. - Rich query semantics: Enables time alignment across devices, in-field computations, and aggregation functions in time dimensions. - Low hardware cost: Achieves high compression ratios (e.g., <$0.23 to store 1GB of data on hard disk). - Flexible deployment: Offers one-click cloud installation, desktop terminal tools, and cloud-to-on-premise synchronization. - Open-source ecosystem integration: Compatible with Hadoop, Spark, Flink, and Grafana for advanced analytics and visualization. Apache IoTDB is an open-source project under the Apache Software Foundation, licensed under the Apache License 2.0. It can be self-hosted on any infrastructure and supports various deployment models including cloud, on-premise, and hybrid environments. The project provides comprehensive documentation, community support, and enterprise-grade stability for production use. GitHub Repository: https://github.com/apache/iotdb Primary Website: https://iotdb.apache.org
About AVEVA PI System
AVEVA PI System is an industrial data infrastructure platform designed to unify real-time operations data, enabling teams to improve collaboration and accelerate operational insights.
Key Features of AVEVA PI System
- Real-time data collection from industrial assets and sensors
- Historian database for long-term data storage and retrieval
- Data visualization with PI Vision for operational dashboards
- Asset performance monitoring and analytics
- Integration with enterprise systems and third-party applications
- Scalable architecture for large-scale industrial deployments
- Industry-specific solutions for oil & gas, manufacturing, utilities, and more
Tech / Self-Hosting
AVEVA PI System is a proprietary enterprise solution that requires on-premise or cloud deployment. It is not available as open-source software and does not support self-hosting in the traditional sense. The platform is designed for industrial environments with specific hardware and software requirements.