Huawei GaussDB
Huawei GaussDB: A managed cloud database for PostgreSQL/MySQL-compatible HTAP at distributed scale. Ranked #8 of 25 in Distributed SQL Databases by our editors (8.4/10); pricing: Paid; best for managed PostgreSQL/MySQL HTAP.
At a glance
- Editor score8.4 / 10
- PricingPaid
- Best forManaged PostgreSQL/MySQL HTAP
- Deployment modelCloud
- Founded1987 · Huawei Base, Shenzhen, 518129, China
- Facts checked20 Sep 2026
Where it wins
- PostgreSQL-compatible and MySQL-compatible database modes
- Online scale-in and scale-out for distributed instances
- Cross-zone deployment and cross-region disaster recovery
Where it doesn't
- Pricing varies by region, configuration, storage, and billing mode
- Architecture choices span centralized and distributed deployment modes
- Online scaling is specified for distributed instances
Our verdict on Huawei GaussDB
Huawei GaussDB is a managed cloud relational database service for enterprise workloads that need distributed storage, scale-out capacity, and availability features. It supports centralized and distributed deployment modes, with coordinator and data nodes in its distributed architecture. PostgreSQL-compatible and MySQL-compatible database modes make it relevant for teams working with either ecosystem, while HTAP support targets workloads that combine transactional and analytical processing. Web and API access are available, alongside connectivity through JDBC, ODBC, libpq, psycopg, Go, ECPG, PyMySQL, and MySQL JDBC.
Pricing is offered through two billing approaches. The Yearly/Monthly plan uses prepaid subscription billing and provides a discounted rate for longer commitments. Pay-per-use uses postpaid usage billing, with usage calculated by the second and billed hourly. Exact costs vary by region, instance configuration, storage, and billing mode, so buyers should evaluate the relevant deployment configuration before choosing between commitment-based and usage-based billing. Backup, restoration, monitoring, and alarm reporting are included capabilities for ongoing database administration.
GaussDB’s strongest fit is for organizations that need distributed relational architecture rather than a narrowly scoped database service. Online scale-in and scale-out, cross-availability-zone deployment, and cross-region disaster recovery address capacity and continuity requirements, while in-memory column views and vectorized execution support its HTAP design. The main planning consideration is architectural: teams must choose between centralized and distributed deployment modes, and the documented online scaling capability applies to distributed instances. Choose GaussDB for managed PostgreSQL/MySQL-compatible workloads with distributed scaling and regional recovery needs; consider a simpler option if those requirements are unnecessary.
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Huawei GaussDB pricing
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Huawei GaussDB fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment model | Cloud |
| PostgreSQL compatibility | Yes |
| MySQL compatibility | Yes |
| Horizontal scaling | Yes |
| Multi-region deployment | Yes |
| Geo-partitioning | Not verified |
| HTAP workloads | Yes |
| Deployment | Cloud |
| Platforms | Web |
| Support | Tickets, Phone, Live chat, Email |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Paid (source) |
| Website | support.huaweicloud.com |
| Facts checked | 20 Sep 2026 |
Alternatives to Huawei GaussDB
- Google Cloud SpannerA strong fit for mission-critical, multi-region workloads needing consistency and scale.9.4
- TiDB CloudA MySQL-compatible cloud database with free usage, autoscaling, and native HTAP.9.2
- CockroachDB CloudA managed PostgreSQL-compatible database for multi-region and enterprise workloads.9.0
See all Huawei GaussDB alternatives →
Huawei GaussDB vs the competition
- Huawei GaussDB vs Google Cloud Spanner
- Huawei GaussDB vs TiDB Cloud
- Huawei GaussDB vs CockroachDB Cloud
- Huawei GaussDB vs Oracle Globally Distributed AI Database
- Huawei GaussDB vs OceanBase Database
- Huawei GaussDB vs YDB
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Also Ranked In
Huawei GaussDB is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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