mirror of
https://github.com/jackyzha0/quartz.git
synced 2025-12-29 15:54:05 -06:00
13 lines
800 B
Markdown
13 lines
800 B
Markdown
|
||
# Cloud Data Warehouses
|
||
|
||
Last updated Dec 8, 2023
|
||
|
||
- Snowflake
|
||
- Google BigQuery
|
||
- Amazon Redshift
|
||
- Azure SQL Data Warehouse
|
||
|
||
- Firebolt
|
||
|
||
Another approach is that you change your on-premise Data Warehouse to a **Cloud Data Warehouse** to get more scalability, more speed, and better availability. This option is best suited for you if you do not necessarily need the fastest response time and you do not have - or petabytes of data. **The idea is to speed up your DWH and skip the layer of cubes. This way you save much time in the development, processing, and maintenance of [OLAP Cubes](https://www.ssp.sh/brain/olap).** On the other hand, you lose in query latency while you create your dashboards. If you mainly have reports anyway, which can run beforehand, then this is perfect for you. |