Amazon MemoryDB vs. Amazon Neptune
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | Amazon Neptune |
|---|---|---|
| Overall rating | 4.4 | 4.3 |
| Review count | 22 | 31 |
| Ease of use | 9.3 | 9.2 |
| Ease of setup | 9.4 | 8.9 |
| Quality of support | 8.8 | 9.4 |
| Meets requirements | 9.3 | 9.1 |
| NPS | 54.545455 | 48.387097 |
| Small Business | 31.8% | 56.7% |
| Mid-Market | 27.3% | 16.7% |
| Enterprise | 40.9% | 26.7% |
| Total page views | 53 | 157 |
| Total LLM citations | 32 | 502 |
Amazon MemoryDB
Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use with no minimum fee. A node is the smallest building block of a MemoryDB cluster. Each node supports varying amounts of computation and memory capacity, and you can select a node type based on your needs. You are charged based on three components: on-demand instance hours per node, volume of data written to your cluster, and snapshot storage that you use.
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.