360 Data & Network Exploration

Your organization is a graph. Start treating it like one.

Permissions, data flows, infrastructure dependencies. Complex systems are networks of connected entities. Graphs make them queryable, visible, and auditable.

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The problem

Complex systems are networks. Not tables.

Access rules don't live in rows

Roles, groups, nested permissions, and resource hierarchies can't be efficiently modeled in relational tables. Checking access requires complex JOINs.

Lineage is a dependency graph

Data moves through pipelines, transformations, and systems. Mapping those dependencies in a relational model means complex JOINs that skew lineage analysis and miss connections.

Networks are too interconnected to query flat

Supply chains, IT infrastructure, and organizational networks are dense webs of relationships. You can't understand topology, propagation, or failure impact without traversing those connections.

Use cases

Two problems. One graph engine.

Identity & access management

Build IAM systems that scale without slowing down

Model users, roles, groups, assets, and resources as graph nodes and relationships. Access checks become shortest-path queries, resolved in milliseconds regardless of how complex the permission hierarchy gets.

Flexible model for group memberships, roles, and nested permissions
Access checks in milliseconds: is there an open path between user and asset?
Atomic updates: permission changes are immediately visible, no cache propagation
Compliant with GDPR, HIPAA, SOC 2, and other access control requirements

Data lineage

Trace data flows from source to consumer

Ingest data from any source via change data capture (CDC). Track granular lineage at the row level, map all transformations and dependencies, and instantly see the impact of any upstream change.

Row-level lineage, beyond table and column level
Millions of events tracked per second
Impact analysis: visualize data propagation and notify affected users
GDPR, HIPAA, CCPA, BASEL II/III, and BCBS 239 compliance

Capabilities

Why Memgraph.

Capabilities that make these use cases production-ready.

Traversal in milliseconds at any scale
In-memory C++ architecture handles deep traversals across complex graphs without degrading under load. Access checks, lineage queries, and topology analysis all resolve in milliseconds regardless of graph size.
Schema evolves with your system
The graph model adapts as your permissions, data flows, or infrastructure change. No schema migrations. Ingest from any source via CDC connectors, Kafka, Pulsar, or Redpanda.
Every connection is visible and explainable
Graph visualization makes complex permission hierarchies, data flows, and network dependencies auditable. Show regulators, auditors, and security teams exactly what's connected to what and why.

Resources