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. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.
Product | Market Share (%) |
---|---|
Amazon Neptune | 7.9% |
Microsoft Azure Cosmos DB | 16.3% |
Amazon DynamoDB | 13.6% |
Other | 62.199999999999996% |
Type | Title | Date | |
---|---|---|---|
Category | Managed NoSQL Databases | Sep 13, 2025 | Download |
Product | Reviews, tips, and advice from real users | Sep 13, 2025 | Download |
Comparison | Amazon Neptune vs Microsoft Azure Cosmos DB | Sep 13, 2025 | Download |
Comparison | Amazon Neptune vs Amazon DynamoDB | Sep 13, 2025 | Download |
Comparison | Amazon Neptune vs Amazon DocumentDB | Sep 13, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Microsoft Azure Cosmos DB | 4.1 | 16.3% | 95% | 102 interviewsAdd to research |
Amazon DynamoDB | 4.1 | 13.6% | 97% | 43 interviewsAdd to research |
Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.
Author info | Rating | Review Summary |
---|---|---|
Back End Developer at Zeta | 4.0 | I used Amazon Neptune to monitor service traffic at Zetta and found its multi-graph model and query language support excellent, though limited community support and incomplete documentation made adoption time-consuming during our strict deadlines. |
Principal Engineer at Paynearby | 4.5 | I switched from Neo4j to Amazon Neptune to manage employee and customer hierarchy due to cost concerns. However, Neptune lacks a visual graph representation, which makes analyzing connections in the graph database less intuitive compared to Neo4j. |
Staff Software Engineer at a tech vendor with 1,001-5,000 employees | 4.0 | I used Amazon Neptune at a gaming company for real-time fraud detection with graph data. Jupyter Notebooks integration was valuable, though improvements are needed for UI visualization and downtime during scaling. We previously used RDS and compared it to Neo4j on AWS. |
Senior Database Administrator at Summa Health System | 4.5 | No summary available |