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Foundation

Property graph

Understand how property graphs use nodes, edges, and properties to model complex industrial systems.

Spaces, instances, direct relations

Construct an industrial knowledge graph using spaces, instances, nodes, edges, and direct relations.

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Schema definition

Containers, views, polymorphism, data models

Define schemas using containers, views, and data models to bring your own properties into the knowledge graph.

System schemas

Explore globally available system schemas prefixed with cdf_ that provide out-of-the-box containers, views, and data models.

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Working with data

Ingestion features

Ingest and remove instances in your graph using apply, patch, replace, and delete operations.

Query features

Query your industrial knowledge graph using filters, parameters, recursive edge traversal, and subscriptions to changes.

Search features

Search for text and property values in your knowledge graph using full-text queries, filters, and relevance ranking.

Aggregation features

Summarize and analyze data using aggregation functions, grouping, and filters.

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High-performance storage

Records

Records are individual data objects that represent events, logs, or historical entries.

Streams

Streams are logical containers that organize your records and define how they behave throughout their lifecycle.

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Management and inspection

Access control features

Control access to graphs using spaces and access control lists (ACLs).

Schema and instance inspection

Inspect schemas and instances to understand their structure and relationships in your data model.

Project data modeling status

See how DATA_MODELING_ONLY and HYBRID change capabilities and application behavior in a CDF project.

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Beta features

Smarter search results

Improved search for tag-like naming structures through advanced tokenization rules.
For REST endpoint documentation, see Data modeling API reference.
Last modified on October 15, 2026