EcoStruxure Grid Data Hub
Schneider Electric · Intelligence & Research
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
About the offer:
Grid Data Hub (GDH) is a centralized data analytics and integration platform used to efficiently collect, process, store, and distribute large volumes of grid-related data. It acts as a unified layer between data sources, such as smart meters, sensors, SCADA systems, and IoT devices—and downstream applications like billing, analytics, forecasting, and customer engagement tools.
Show the rest of the publisher’s description (22 more lines)
At its core, Grid Data Hub consolidates disparate data streams into a single, standardized data model. This ensures consistency, data quality, and accessibility across an organization. By harmonizing data formats and applying validation rules, GDH helps eliminate data silos and reduces inconsistencies that traditionally arise when multiple systems operate independently. It serves as the foundation for AI and machine learning applications, predictive maintenance, and smart grid optimization strategies by providing clean, structured, and timely data.
Key benefits
- Native
connectors for ingesting the data from other Schneider Electric
applications such as EcoStruxure ADMS and EcoStruxure DERMS, with full
flexibility for building custom ingestion pipelines for other systems.
- Broad,
standards-based utility-specific data model with support for multiple
domains (SCADA, OMS, DERMS, GIS, etc) and multiple data types
(time-series, referential, spatial, unstructured, etc). GDH comes with
meta-model that carries all the necessary information about the entities,
their attributes and the relationship between entities, so that it can be
used for training AI models.
- Embedded
AI assistant which can be used for creating reports and insights with
no-code or low-code approach, just by using natural language.
- Supports
sensitivity labeling on the source side to ensure privacy of sensitive
data is enforced wherever the data is being used.
- Scalable
and flexible, with the capability to accommodate different volumes of the
data, and all kinds of transformations.
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
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Vendor
External enrichment
Plans and pricing as listed
1 listedSources
Publisher resources
4 linksLinked repositories
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