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  1. Stackups
  2. Application & Data
  3. Graph Databases
  4. Graph Database As A Service
  5. Amazon Neptune vs GrapheneDB

Amazon Neptune vs GrapheneDB

OverviewComparisonAlternatives

Overview

GrapheneDB
GrapheneDB
Stacks14
Followers27
Votes0
Amazon Neptune
Amazon Neptune
Stacks59
Followers174
Votes15

Amazon Neptune vs GrapheneDB: What are the differences?

Developers describe Amazon Neptune as "Fast, reliable graph database built for the cloud". 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. On the other hand, GrapheneDB is detailed as "Cloud-hosted Neo4j Graph Databases as a Service". With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku.

Amazon Neptune and GrapheneDB can be categorized as "Graph Database as a Service" tools.

Some of the features offered by Amazon Neptune are:

  • High performance and scalability
  • High availability and durability
  • Open Graph APIs

On the other hand, GrapheneDB provides the following key features:

  • Cloud scaling
  • Available in all major providers
  • 24x7 monitoring

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Detailed Comparison

GrapheneDB
GrapheneDB
Amazon Neptune
Amazon Neptune

With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku.

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.

Cloud scaling;Available in all major providers;24x7 monitoring;Expert support;Backups;Dashboard;Extensible;Pay as you go;Team collaboration
High performance and scalability; High availability and durability; Open Graph APIs; Highly secure; Fully managed; Fast parallel bulk data uploading; Cost-effective
Statistics
Stacks
14
Stacks
59
Followers
27
Followers
174
Votes
0
Votes
15
Pros & Cons
No community feedback yet
Pros
  • 3
    Managed Service in AWS
  • 3
    High Performance
  • 2
    Easy to Use
  • 2
    Support for RDF
  • 2
    Support for SPARQL
Cons
  • 1
    No UI to see graph
Integrations
Neo4j
Neo4j
Microsoft Azure
Microsoft Azure
Heroku
Heroku
Amazon S3
Amazon S3
AWS IAM
AWS IAM
AWS Key Management Service
AWS Key Management Service
Amazon CloudWatch
Amazon CloudWatch

What are some alternatives to GrapheneDB, Amazon Neptune?

Graph Story

Graph Story

Graph Story offers fully-managed, fast, secure and affordable access to graph databases-as-a-service and makes them even easier to use through our customized API.

TigerGraph DB

TigerGraph DB

It is the only scalable graph database for the enterprise which is based on the industry’s first Native and Parallel Graph technology. It unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. It’s proven technology supports applications such as IoT, AI and machine learning to make sense of ever-changing big data.

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