Head-to-head · Cassandra Hosting
ApsaraDB for Cassandra vs Huawei Cloud GeminiDB Cassandra API
ApsaraDB for Cassandra leads on 1 check, Huawei Cloud GeminiDB Cassandra API on 0, and 2 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreApsaraDB for Cassandra · 6.9/10
- Most featuresApsaraDB for Cassandra · 2 of 3
ApsaraDB for Cassandra scores higher on our rubric for cassandra hosting: 6.9 against 6.8 out of 10; our editors rank them #7 and #8.
ApsaraDB for Cassandra offers private networking; Huawei Cloud GeminiDB Cassandra API doesn't publish it.
ApsaraDB for Cassandra is the better fit for teams deploying Cassandra across Asian regions. Huawei Cloud GeminiDB Cassandra API is the better fit for cassandra on Huawei Cloud.
- ApsaraDB for Cassandra fits best
Teams deploying Cassandra across Asian regions
- Huawei Cloud GeminiDB Cassandra API fits best
Cassandra on Huawei Cloud
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Side by side
| Feature | ApsaraDB for Cassandra 6.9/10 Visit ↗ | Huawei Cloud GeminiDB Cassandra API 6.8/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 6.9 | 6.8 |
| Ranking | #7 in Cassandra Hosting | #8 in Cassandra Hosting |
| Best for | Teams deploying Cassandra across Asian regions | Cassandra on Huawei Cloud |
| Pricing model | Paid | Paid |
| Starting price | $36.06/mo | Not published |
| Free plan | Not published | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Support | Docs | Email, Live chat, Phone, Tickets, Docs · 24/7 |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features ApsaraDB for Cassandra 2/3 · Huawei Cloud GeminiDB Cassandra API 1/3 | ||
| Automated backups | Not published | Not published |
| Multi-region clusters | ✓ | ✓ |
| Private networking | ✓ (best) | Not published |
| Specs | ||
| Cassandra versions | Not published | Not published |
| Node scaling | Not published | Not published |
| Storage per node | Not published | Not published |
| Deployment regions | China (Hangzhou), China (Shanghai), China (Shenzhen), China (Qingdao), China (Beijing), China (Zhangjiakou), China (Hohhot), China (Hong Kong), Japan (Tokyo), Singapore, Malaysia (Kuala Lumpur), Indonesia (Jakarta), UK (London), Germany (Frankfurt), US (Virginia), US (Silicon Valley) | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | ApsaraDB for Cassandra is Alibaba Cloud’s managed Apache Cassandra service for teams running high-concurrency, low-latency workloads. It supports multi-node clusters, data replicas, multiple data centers, cloud disks, and internal or… Read the review → |
Huawei Cloud GeminiDB Cassandra API is a managed, cloud-native wide-column database service for applications that need distributed storage and Cassandra compatibility. It supports Cassandra Query Language (CQL) and is positioned for… Read the review → |
Strengths and trade-offs
ApsaraDB for Cassandra — where it wins
- Multi-node clusters with replicas and multiple data centers
- Separate compute and cloud-disk scaling and billing
- Private and public endpoints across listed regions
Where it doesn't
- Alibaba Cloud documentation labels the service deprecated
- Compute and storage costs are billed separately
- Platform access is listed through the API, with limited integrations
Huawei Cloud GeminiDB Cassandra API — where it wins
- CQL support with compatibility across the Cassandra ecosystem
- Autoscaling, storage and compute scale-out for changing workloads
- Multi-AZ availability and cross-region active-active recovery
Where it doesn't
- No free plan for evaluating the service
- Transactions are not supported
- Maximum row size is 0.1 MB
- ApsaraDB for Cassandra6.9/10 · From $36.06/mo
Managed multi-node Cassandra with regional coverage, but the service is deprecated.
Visit Alibaba CloudFull verdict → - Huawei Cloud GeminiDB Cassandra API6.8/10 · Paid
A managed Cassandra service with broad scaling, recovery, and multi-AZ capabilities.
Visit Huawei CloudFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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