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luhuayi 3a18074b37 DWS UMN 20250703 version

Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: luhuayi <luhuayi@huawei.com>
Co-committed-by: luhuayi <luhuayi@huawei.com>

2025-08-04 06:51:42 +00:00

Data Warehouse Flavors

A storage-compute coupled data warehouse using cloud disks with a vCPU to memory ratio of 1:8 can be elastically scaled, providing unlimited computing and storage capacity. For details, see Table 1.
A storage-compute coupled data warehouse using cloud disks with a vCPU to memory ratio of 1:4 provides high-concurrency, high-performance, and low-latency transaction processing capabilities at low costs based on large-scale data query and analysis capabilities. This type of data warehouse is ideal for HTAP hybrid load scenarios. For details about the specifications, see Table 2.

**Table 1** Cloud disk flavors with a vCPU to memory ratio of 1:8 for storage-compute clusters
Flavor	CPU Architecture	vCPU	Memory (GB)	Storage Capacity Per Node	Default Storage	Step (GB)	Recommended Storage	Number of DNs	Scenario
dwsx2.xlarge.m7n	x86	4	32	20 GB–2,000 GB	100	10	800	1	Suitable for GaussDB(DWS) starters. These flavors can be used for testing, learning environments, or small-scale analytics systems.
dwsx2.2xlarge.m7n	x86	8	64	100 GB–4,000 GB	200	100	1600	1	Suitable for internal data warehousing and report analysis in small- and medium-sized enterprises (SMEs).
dwsx2.4xlarge.m7n	x86	16	128	100 GB–8,000 GB	400	100	3200	1
dwsx2.8xlarge.m7n	x86	32	256	100 GB–16,000 GB	800	100	6400	2	Recommended for the production environment. These flavors are applicable to OLAP systems that have to deal with large data volumes, BI reports, and data visualizations on large screens for most companies.
dwsx2.16xlarge.m7n	x86	64	512	100 GB–32,000 GB	1600	100	12800	4	These flavors can deliver excellent performance and are applicable to high-throughput data warehouse processing and high-concurrency online query.

**Table 2** Cloud disk flavors with a vCPU to memory ratio of 1:4 for storage-compute clusters
Flavor	CPU Architecture	vCPU	Memory (GB)	Storage Capacity Per Node	Step (GB)	Number of DNs	Scenario
dwsx2.h.xlarge.4.c7n	x86	4	16	20 GB–2,000 GB	20	1	Suitable for GaussDB(DWS) starters. These flavors can be used for testing, learning environments, or small-scale analytics systems.
dwsx2.h.2xlarge.4.c7n	x86	8	32	100 GB–4,000 GB	100	1	Suitable for internal data warehousing and report analysis in small- and medium-sized enterprises (SMEs).
dwsx2.h.4xlarge.4.c7n	x86	16	64	100 GB–8,000 GB	100	1	Recommended for the production environment. These flavors are applicable to OLAP systems that have to deal with large data volumes, BI reports, and data visualizations on large screens for most companies.
dwsx2.h.8xlarge.4.c7n	x86	32	128	100 GB–16,000 GB	100	2
dwsx2.h.16xlarge.4.c7n	x86	64	256	100 GB–32,000 GB	100	4	These flavors can deliver excellent performance and are applicable to high-throughput data warehouse processing and high-concurrency online query.

Parent topic: Service Overview