Fast everyday queries.
Keep SQL exploration and dashboards responsive with compute suited to short, frequent queries.
A data warehouse for engineers and agents.
An intelligent warehouse built on open storage, optimized for fast queries and demanding analytics while keeping costs low at scale.
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Show daily sales after discounts.
orders
Sales definition
Data explorer
commerce
- customers
- orders
- refunds
SELECT order_date, sum(item_sales - discounts) AS salesFROM commerce.ordersGROUP BY order_dateORDER BY order_date;Results
| order_date | sales | |
|---|---|---|
| 1 | 2026-08-28 | 400.00 |
| 2 | 2026-08-29 | 288.00 |
Columns
| Name | Type |
|---|---|
| order_id | string |
| order_date | date |
| item_sales | decimal(12,2) |
| discounts | decimal(12,2) |
Data preview
| order_id | order_date | item_sales | discounts |
|---|---|---|---|
| ORD-1041 | 2026-08-28 | 240.00 | 20.00 |
| ORD-1042 | 2026-08-28 | 180.00 | 0.00 |
| ORD-1043 | 2026-08-29 | 320.00 | 32.00 |
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The right compute
for each query.
deepgreen automatically matches compute to each query’s size and complexity, balancing speed and cost across everyday SQL and demanding analytics.
Power for demanding analytics.
Give larger joins and aggregations the processing power they need as data grows.
Lower costs at scale.
Match resources to the job, with the flexibility to use more cost-effective query engines.
One workspace for engineers and agents.
Query data directly or work with deepgreen AI, with shared business definitions and permissions built into the workflow.
Write SQL or ask deepgreen AI.
Query directly or describe what’s needed. deepgreen AI finds relevant tables and generates SQL that engineers can review and refine.
AI that understands the business.
Give agents shared metric definitions, business rules, and table relationships, so their queries reflect how the business measures things.
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Manage access in one place.
Control access to data through one permission system, with engineers and agents working within their assigned permissions.
The warehouse shouldn’t hold the data hostage.
deepgreen is a lakehouse: the SQL and table management of a warehouse, with data kept in ordinary cloud storage.
Choose where data lives.
Let deepgreen manage storage, or keep data in company-owned storage services like Amazon S3.
Read it outside deepgreen.
Iceberg organizes the tables; Parquet stores the files. These open standards let compatible engines read the same data without converting it into another format.
Already have a warehouse?
Use deepgreen’s context, analysis, apps, and agents with a compatible existing warehouse.