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

Amazon Neptune vs Graph Story

OverviewComparisonAlternatives

Overview

Graph Story
Graph Story
Stacks3
Followers19
Votes23
Amazon Neptune
Amazon Neptune
Stacks59
Followers174
Votes15

Amazon Neptune vs Graph Story: What are the differences?

What is Amazon Neptune? 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.

What is Graph Story? Get your graph-backed application up & running within minutes. 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.

Amazon Neptune and Graph Story belong to "Graph Database as a Service" category of the tech stack.

Some of the features offered by Amazon Neptune are:

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

On the other hand, Graph Story provides the following key features:

  • Free developer tier
  • Geospatial support
  • multi-language support

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Detailed Comparison

Graph Story
Graph Story
Amazon Neptune
Amazon Neptune

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.

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.

Free developer tier; Geospatial support; multi-language support; data import & export; 24x7 monitoring; 24x7 support; staging & production bundled packages; support for hosted graph applications; professional services
High performance and scalability; High availability and durability; Open Graph APIs; Highly secure; Fully managed; Fast parallel bulk data uploading; Cost-effective
Statistics
Stacks
3
Stacks
59
Followers
19
Followers
174
Votes
23
Votes
15
Pros & Cons
Pros
  • 3
    Fanatical support
  • 3
    Ease of use
  • 3
    Professional Services
  • 2
    High Performance
  • 2
    Highly scalable
Pros
  • 3
    High Performance
  • 3
    Managed Service in AWS
  • 2
    Support for RDF
  • 2
    Support for SPARQL
  • 2
    Easy to Use
Cons
  • 1
    No UI to see graph
Integrations
Neo4j
Neo4j
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
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 Graph Story, Amazon Neptune?

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.

GrapheneDB

GrapheneDB

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

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