Graph.
A property-graph database for relationships, knowledge graphs and path queries.
A managed property-graph database for data that is mostly about relationships — traverse millions of edges, find paths and power knowledge graphs the model can reason over.
- Category
- Databases
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Nodes, edges and properties with an expressive traversal language.
Multi-hop path and pattern queries that punish a relational schema.
Back the typed causal graphs the discipline agents reason over.
Graph, in full.
Nodes, edges and properties with an expressive traversal query language.
Multi-hop path and pattern queries that punish a relational schema.
Back the typed causal graphs the discipline agents build.
Consistent updates across connected entities.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
import { aether } from "@aether/sdk";
// Provision graph and query it
const graph = await aether.databases.create({
service: "graph",
name: "app",
region: "us-1",
});
const rows = await graph.query(`select * from events limit 10`);At a glance.
- Model
- Property graph
- Queries
- Multi-hop path + pattern
- Transactions
- ACID
- Use
- Knowledge graphs, fraud, recs
- Scale
- Millions of edges
Built for real work.
Knowledge graphs for agents
Fraud and threat path analysis
Recommendation graphs
On one model, not stitched together.
The usual stack runs graph in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — graph sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your graph — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
A managed property graph for relationship-heavy data — backing the knowledge graphs Aether agents build.
When the questions are about connections — multi-hop paths and patterns that explode in relational joins.
Yes — ACID updates across connected entities.
Your boundary, your choice.
Pairs well with.
Managed Postgres-compatible SQL with HA, read replicas, backups and point-in-time restore.
Elastic document and key-value stores for low-latency, high-throughput workloads.
Managed embeddings and similarity search at scale — the retrieval layer under grounded apps.
Purpose-built time-series storage for telemetry, metrics and sensor streams.
Sub-millisecond managed cache for sessions, hot data and rate limiting.
Columnar, separation-of-storage-and-compute warehouse for analytics at scale.
Run Graph on Aether Cloud.
A property-graph database for relationships, knowledge graphs and path queries. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.