Graph Story vs GrapheneDB

Overview

GrapheneDB

Stacks14

Followers27

Votes0

Graph Story

Stacks3

Followers19

Votes23

GrapheneDB vs Graph Story: What are the differences?

Developers describe GrapheneDB 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. On the other hand, Graph Story is detailed as "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.

GrapheneDB and Graph Story can be primarily classified as "Graph Database as a Service" tools.

Some of the features offered by GrapheneDB are:

Cloud scaling
Available in all major providers
24x7 monitoring

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

Free developer tier
Geospatial support
multi-language support

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CLI (Node.js)

Manual

Detailed Comparison

GrapheneDB	Graph Story
With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku.	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.
Cloud scaling;Available in all major providers;24x7 monitoring;Expert support;Backups;Dashboard;Extensible;Pay as you go;Team collaboration	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
Statistics
Stacks 14	Stacks 3
Followers 27	Followers 19
Votes 0	Votes 23
Pros & Cons
No community feedback yet	Pros 3 Professional Services 3 Ease of use 3 Fanatical support 2 Highly scalable 2 Fast
Integrations
Neo4j Microsoft Azure Heroku	Neo4j Microsoft Azure Google Compute Engine

What are some alternatives to GrapheneDB, Graph Story?

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.

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.