Use Cases

Memgraph Zero solves concrete problems that teams face when data is scattered across systems, silos, and compliance boundaries. Each use case below shows a real pattern, explains the architecture, and provides a working example you can run yourself.

Public-Private Data / Hybrid Graphs / Data Sovereignty

Keep sensitive data sovereign while querying it alongside public knowledge graphs. A GDPR-compliant PostgreSQL database stores private customer profiles, while a public Memgraph instance hosts the open product catalog. MemGQL joins both from a single query endpoint without ever moving the regulated data.

Enterprise Context Sharing

Share canonical context — org charts, product hierarchies, ontologies — across departments without forcing every team into the same database. Each team keeps its own data store; MemGQL provides a unified graph view.

Horizontally Scalable Distributed Compute

Spread graph computation across multiple nodes for workloads that exceed the capacity of a single instance. MemGQL can partition queries and materialize intermediate results across a cluster.

Agentic Data Access

Give AI agents a single semantic layer to discover and query any data in the organization. Agents use standard GQL to explore relationships across relational, graph, and lakehouse backends without needing to know where each dataset lives.