Amazon Neptune
Definition
A fully managed graph database service from AWS, purpose-built for storing and querying highly connected data, optimizing data relationships.
Use Cases
- Siemens: Building a knowledge graph to connect industrial assets, documents, and relationships for improved search and insights — Used Amazon Neptune as the graph store to model entities and relationships and query connections efficiently; integrated with AWS services for ingestion and application access (Improved ability to discover relationships across complex industrial data and enabled faster, more relevant exploration of connected information)
- Thomson Reuters: Knowledge graph for linking people, organizations, and content to enhance research and discovery — Adopted Amazon Neptune to store and query highly connected data and support graph traversals for entity linking and relationship-based queries (Enabled richer relationship-driven experiences and more efficient exploration of connected entities at scale)
Provider Equivalents
- AWS: Amazon Neptune
- Azure: Azure Cosmos DB (Gremlin API)
- GCP: None (no direct managed property-graph + RDF/SPARQL equivalent)
- OCI: Oracle Autonomous Database (Graph features) / Oracle Graph Server and Client (managed options vary)
Frequently Asked Questions
- What's the difference between Amazon Neptune and Amazon Neptune Analytics?
- Amazon Neptune is an operational graph database designed for application workloads where you read and write graph data and need low-latency queries. Amazon Neptune Analytics is designed for running large-scale graph analytics (for example, community detection or centrality) on graph data, typically optimized for analytical processing rather than serving high-throughput transactional application queries.
- When should I use Amazon Neptune?
- Use Neptune when your data is highly connected and your application frequently asks relationship questions like “how is A connected to B?” Common scenarios include recommendations (friends/products), fraud ring detection, network and IT dependency mapping, identity and access relationships, knowledge graphs, and supply-chain lineage. If your queries are mostly simple key-value lookups or tabular joins, a relational database or key-value/document store is often a better fit.
- How much does Amazon Neptune cost?
- Neptune pricing depends on the instance type and number of instances (writer plus any read replicas), storage consumed, I/O and backup storage, and data transfer. Costs increase with larger instance sizes, more replicas for read scaling/high availability, and higher storage/backup usage. For accurate estimates, use the AWS Pricing page and the AWS Pricing Calculator with your expected instance count, instance class, and storage footprint.
Category: database
Difficulty: advanced
Related Terms
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