Databases, on one model.
Every data shape — relational, document, vector, graph and more. 7 services, Aether-native and governed by one trust story — deployable managed, in your VPC, on-prem or fully air-gapped. And when you need one that isn’t listed, the model builds it.
Everything in databases.
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.
A property-graph database for relationships, knowledge graphs and path queries.
Columnar, separation-of-storage-and-compute warehouse for analytics at scale.
From request to running.
Create a managed instance sized to your workload, HA and backups configured for you.
Use standard drivers and the Aether SDK; the data sits next to the model, not across a vendor boundary.
Add replicas, shards or compute as you grow, with point-in-time recovery throughout.
One SDK, whole catalog.
import { aether } from "@aether/sdk";
// Provision relational sql and query it
const relational_sql = await aether.databases.create({
service: "relational-sql",
name: "app",
region: "us-1",
});
const rows = await relational_sql.query(`select * from events limit 10`);- Management
- Fully managed, patched, HA
- Backups
- Continuous, point-in-time restore
- Scaling
- Replicas · sharding · elastic compute
- Encryption
- At rest + in transit by default
- Compatibility
- Standard drivers & wire protocols
Your boundary, your choice.
The rest of the platform.
Run databases on infrastructure you trust.
Databases on Aether Cloud — Aether-native, governed and deployable into the boundary your data requires. Talk to us about the services and the deployment your workloads need.