Head-to-head · Graph Databases
Amazon Neptune vs Huawei Cloud Graph Engine Service (GES)
Amazon Neptune leads on 0 checks, Huawei Cloud Graph Engine Service (GES) on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAmazon Neptune · 9.2/10
- Free trialonly Amazon Neptune
- Most featuresAmazon Neptune · 3 of 3
Amazon Neptune scores higher on our rubric for graph databases: 9.2 against 8.2 out of 10; our editors rank them #2 and #8.
Amazon Neptune is the better fit for managed AWS graph deployments. Huawei Cloud Graph Engine Service (GES) is the better fit for huawei Cloud graph exploration.
- Amazon Neptune fits best
Managed AWS graph deployments
- Huawei Cloud Graph Engine Service (GES) fits best
Huawei Cloud graph exploration
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Side by side
| Feature | Amazon Neptune 9.2/10 Visit ↗ | Huawei Cloud Graph Engine Service (GES) 8.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.2 |
| Ranking | #2 in Graph Databases | #8 in Graph Databases |
| Best for | Managed AWS graph deployments | Huawei Cloud graph exploration |
| Pricing model | Paid | Paid |
| Starting price | — | Not checked yet |
| Free plan | — | Not checked yet |
| Free trial | 30 days | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs | Live chat, Docs |
| Integrations | 8 integrations | 6 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Amazon Neptune 3/3 · Huawei Cloud Graph Engine Service (GES) 1/3 | ||
| ACID transactions | ✓ (best) | Not checked yet |
| Graph algorithms | ✓ | ✓ |
| Vector search | ✓ (best) | Not checked yet |
| Specs | ||
| Deployment | Cloud | Cloud |
| Query languages | Gremlin, openCypher, SPARQL | Gremlin, Cypher, DSL, GQL |
| Included storage | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Amazon Neptune is a fully managed graph database service for applications built on highly connected datasets. It supports property graphs through Gremlin and openCypher, as well as RDF graphs through SPARQL. That makes it suitable for… Read the review → |
Huawei Cloud Graph Engine Service (GES) is a managed graph database service for querying and analyzing multi-relational graph data. It is aimed at teams working with knowledge graphs, recommendations, social-network analysis, financial… Read the review → |
Strengths and trade-offs
Amazon Neptune — where it wins
- Supports Gremlin, openCypher, and SPARQL query languages
- Includes read replicas, Multi-AZ failover, and point-in-time recovery
- Adds graph algorithms and vector similarity search through Neptune Analytics
Where it doesn't
- Uses usage-based pricing rather than fixed subscription plans
- Requires AWS ecosystem fit for its integrations and access controls
- Neptune Analytics is separate from the core managed database service
Huawei Cloud Graph Engine Service (GES) — where it wins
- Visual graph exploration with query-result visualization
- Gremlin, Cypher, and DSL query support
- Built-in algorithms for paths, ranking, clustering, and prediction
Where it doesn't
- Cloud deployment does not provide a self-managed installation option
- The service uses a paid model
- Migration support centers on MySQL, Oracle, ShenTong MPP, DWS, Hive, and OBS
- Amazon Neptune9.2/10 · 30-day trial
A managed AWS graph service with broad query, resilience, analytics, and AI connectivity.
Visit Amazon NeptuneFull verdict → - Huawei Cloud Graph Engine Service (GES)8.2/10 · Paid
A cloud graph service with visual exploration, multiple query languages, algorithms, and migration tools.
Visit Huawei CloudFull verdict →
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- Apache HugeGraph vs Huawei Cloud Graph Engine Service (GES)
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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