Proficy Historian
Industrial IoT software
Manufacturing intelligence software
Event stream processing software
Time series databases
Database software
Big data software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Proficy Historian
Proficy Historian is an industrial time-series data historian used to collect, compress, store, and retrieve high-frequency operational data from plant-floor systems such as PLCs, SCADA/HMI, and DCS. It supports use cases including production monitoring, troubleshooting, quality investigations, and reporting by providing long-term, queryable process history. The product is typically deployed in manufacturing and process industries and integrates with industrial connectivity and analytics components in the Proficy ecosystem. It emphasizes efficient storage of time-series tags and fast retrieval for trending and analysis.
Purpose-built industrial historian
The product is designed around industrial tag-based time-series data, including high-frequency sampling and long retention. It supports common historian functions such as compression, interpolation, and time-based queries used for process trending and investigations. This focus aligns well with plant-floor operational data needs compared with more general-purpose database platforms.
Strong OT integration patterns
Proficy Historian commonly integrates with SCADA/HMI and control-system environments and supports typical OT data collection workflows. It fits into architectures where data is acquired from controllers and supervisory systems and then served to reporting and analytics tools. This makes it practical for sites standardizing on industrial automation stacks rather than building custom ingestion pipelines.
Efficient long-term time-series storage
Historian-style storage and compression reduce the footprint of high-volume sensor and process data while preserving useful signal characteristics for analysis. The system is optimized for rapid retrieval of time ranges for trends, dashboards, and investigations. This can lower infrastructure requirements compared with storing raw high-frequency data in general big-data stores.
Not a general-purpose database
The data model is optimized for time-series tags and historian queries rather than broad relational or document workloads. Organizations needing complex transactional processing, flexible schemas, or multi-model capabilities may require additional database technologies. This can increase architectural complexity when combining operational history with enterprise application data.
Event processing is limited
While it stores and serves time-series history, it is not primarily an event stream processing engine for real-time transformations and complex event logic. Advanced streaming use cases (e.g., windowed aggregations, joins across streams, and low-latency rule pipelines) often require complementary stream-processing or edge-processing components. This can add integration work for real-time analytics beyond historian retrieval.
Deployment and administration overhead
Historian deployments typically require careful planning around tag configuration, retention policies, security, and high availability. Ongoing administration can be non-trivial in multi-site environments, especially when integrating with multiple data sources and downstream consumers. Teams without OT data management experience may face a steeper operational learning curve.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| No public list prices (custom/quote) | Contact GE Vernova sales / partners | GE Vernova does not publish standard list prices for Proficy Historian on its product pages. Paid deployments include on-premise licenses and Proficy Historian for Cloud (available via AWS Marketplace) — pricing appears to be provided via sales/partners or marketplace consumption billing. A free limited edition is offered (25 tags, no time limit). See notes below. |
Seller details
GE Vernova Inc.
Cambridge, Massachusetts, USA
2024
Public
https://www.gevernova.com/
https://x.com/gevernova
https://www.linkedin.com/company/gevernova/
