Stream. Backfill. Analyze.
Get PI data where your teams need it.
Send real-time and historical PI data to modern analytics platforms – without heavy manual work or changes to your PI setup.
Business results you can reach
Get more value from PI data:
- Faster access to PI data
- Ready-to-use analytics data
- Full history for AI
- Unified reporting across sites
- Less manual work
- Modern data architecture without changing PI
PI Data Integrator is a safe integration layer for AVEVA PI System environments.
It helps PI teams stream and backfill data from PI Data Archive and AF to Azure, Google Cloud, Kafka, or on-prem analytics platforms.
How does PI Data Integrator work?
The diagram shows how PI Data Integrator moves PI data from ingestion and processing to streaming or batch export into cloud and on-prem analytics platforms.
What PI Data Integrator enables:
Real-Time and batch data ingestion
High-frequency data can be ingested using two modes, depending on the requirements of BI dashboards and monitoring workloads.
Historical backfilling
Full synchronization of PI Data Archive – essential for long-term analytics and AI.
AF structure support
Read AF hierarchy, attributes and metadata.
Data quality ＆ monitoring
Status tracking, retries, and error handling built in.
Modern data platform ready
Integration with modern data platforms in Azure, Google Cloud, and on-premises environments.
User friendly interface
(Smart RDM)
A simple UI for configuring,
scheduling and tracking performance of data flows.
Make PI data ready for modern analytics – with a practical guide to streaming, backfilling, and contextualizing AVEVA PI System data.
This free e-book explains how to make AVEVA PI data ready for analytics and AI without slowing down PI.
It answers:
- Why does PI become a bottleneck?
- How can you move PI data safely?
- How can historical data support AI?
- How can you reduce manual exports and scripts?
Why PI Data Integrator?
- Near real-time data access – stream PI time series data into cloud-native services
- Batch with full historical backfilling – automatically retrieve and synchronize historical PI data for analytics and AI.
- Stable, monitored ＆ controlled data transfer – retry, quality checks and full transparency via Smart RDM.
- On-premises, cloud, or hybrid deployment – Kubernetes-native, supporting Apache Kafka and cloud platforms such as Azure and Google Cloud.
Case study: Modern PI data pipelines, zero disruption to PI
What they achieved:
- Streamed data to the cloud in real time
- Moved full history
- Kept PI fully operational
- Unlocked faster reporting and analytics
Contact us
Ready to modernize your PI data? Let’s talk.
Whether you want real-time dashboards, full historical analytics or a cloud migration path - PI Data Integrator gives you a reliable, scalable and low-effort way to unlock the full value of your PI data.
Karol Wozniak
AI Data ＆ Cloud Unit Manager