Analytics, on one model.
Batch, streaming and BI over your governed data. 5 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 analytics.
Managed Spark and distributed processing for large-scale transforms and ML feature pipelines.
Exactly-once streaming compute for real-time pipelines, enrichment and detection.
Visual and code-first pipelines with scheduling, lineage and schema management.
Governed dashboards and self-serve exploration over the warehouse and lake.
Full-text and hybrid search as a service, with relevance tuning and analyzers.
From request to running.
Point at the lake, warehouse or streams — no copy where open formats allow.
Run batch, streaming or interactive workloads on elastic, autoscaling compute.
Feed dashboards, alerts and the model from one governed, lineage-tracked layer.
One SDK, whole catalog.
# Provision big-data / spark on Aether Cloud
aether analytics create \
--service big-data-spark \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gapped- Modes
- Batch · streaming · interactive
- Storage
- Lake-native, open formats
- Lineage
- Column-level, source to dashboard
- Compute
- Elastic, spot-aware
- Governance
- Inherited row/column security
Your boundary, your choice.
The rest of the platform.
Run analytics on infrastructure you trust.
Analytics 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.