Amazon Relational Database Service (RDS) vs. Amazon Neptune
A side-by-side comparison based on G2 review data.
| Metric | Amazon Relational Database Service (RDS) | Amazon Neptune |
|---|---|---|
| Overall rating | 4.5 | 4.3 |
| Review count | 907 | 31 |
| Ease of use | 9.0 | 9.2 |
| Ease of setup | 9.0 | 8.9 |
| Quality of support | 8.8 | 9.4 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 66.164542 | 48.387097 |
| Small Business | 28.8% | 56.7% |
| Mid-Market | 37.5% | 16.7% |
| Enterprise | 33.7% | 26.7% |
| Total page views | 646 | 157 |
| Total LLM citations | 2,389 | 502 |
Amazon Relational Database Service (RDS)
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks such as hardware provisioning, database setup, patching and backups. It frees you up to focus on your apps so you can give them the better performance, availability, security, and compatibility they need. Amazon RDS is available on 6 familiar database instances: Amazon Aurora, MySQL, PostgreSQL, MariaDB, Oracle Database and SQL Server engines.
- Ease of Use
- Scalability
- Setup Ease
- Security
- Backup Services
- Reliability
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.