BI & dashboards.
Governed dashboards and self-serve exploration over the warehouse and lake.
Governed business intelligence over your warehouse and lake — curated metrics, self-serve exploration and shareable dashboards, with a semantic layer so everyone counts the same way.
- Category
- Analytics
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
A semantic layer so every chart agrees on the numbers.
Self-serve drill-down without SQL, governed by the data platform.
Publish dashboards or embed them in your own apps.
BI & dashboards, in full.
Define metrics once so every chart agrees on the numbers.
Explore and drill down without writing SQL.
Row- and column-level security inherited from the data platform.
Drop dashboards into your own apps and portals.
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.
# Provision bi & dashboards on Aether Cloud
aether analytics create \
--service bi-dashboards \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Semantic layer
- Define metrics once
- Self-serve
- No-SQL exploration
- Security
- Row/column inherited
- Delivery
- Dashboards + embedded
- Sources
- Warehouse + lake
Built for real work.
Executive and ops dashboards
Self-serve analytics
Embedded customer analytics
On one model, not stitched together.
The usual stack runs bi & dashboards 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 — bi & dashboards sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your bi & dashboards — 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.
Governed BI with a semantic layer — over the same warehouse and lake the model reads, so numbers agree.
Yes — self-serve drill-down without writing SQL.
Yes — drop them into your own apps and portals.
Your boundary, your choice.
Pairs well with.
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.
Full-text and hybrid search as a service, with relevance tuning and analyzers.
Run BI & dashboards on Aether Cloud.
Governed dashboards and self-serve exploration over the warehouse and lake. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.