Graph Story vs TigerGraph DB

Overview

Graph Story

Stacks3

Followers19

Votes23

TigerGraph DB

Stacks24

Followers39

Votes1

Graph Story vs TigerGraph DB: What are the differences?

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; TigerGraph DB: Native Parallel Graph solution that is designed for Speed and Scalability. 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..

Graph Story and TigerGraph DB can be categorized as "Graph Database as a Service" tools.

Some of the features offered by Graph Story are:

Free developer tier
Geospatial support
multi-language support

On the other hand, TigerGraph DB provides the following key features:

SCALABILITY FOR MASSIVE DATASETS
DEEP-LINK MULTI-HOP ANALYTICS
REAL-TIME PERFORMANCE

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Detailed Comparison

Graph Story	TigerGraph DB
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.	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.
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	SCALABILITY FOR MASSIVE DATASETS; DEEP-LINK MULTI-HOP ANALYTICS; REAL-TIME PERFORMANCE;ENTERPRISE-GRADE SECURITY;MASSIVELY PARALLEL PROCESSING;ULTRA-FAST LOADING AND UPDATES; GRAPH STUDIO;GRAPH CLOUD OFFERING;MULTIGRAPH;GSQL
Statistics
Stacks 3	Stacks 24
Followers 19	Followers 39
Votes 23	Votes 1
Pros & Cons
Pros 3 Professional Services 3 Ease of use 3 Fanatical support 2 Highly scalable 2 Fast	No community feedback yet
Integrations
Neo4j Microsoft Azure Google Compute Engine	No integrations available

What are some alternatives to Graph Story, TigerGraph DB?

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.

GrapheneDB

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

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