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

GrapheneDB vs TigerGraph DB

OverviewComparisonAlternatives

Overview

GrapheneDB
GrapheneDB
Stacks14
Followers27
Votes0
TigerGraph DB
TigerGraph DB
Stacks24
Followers39
Votes1

GrapheneDB vs TigerGraph DB: 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, TigerGraph DB is detailed as "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..

GrapheneDB and TigerGraph DB 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, 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

GrapheneDB
GrapheneDB
TigerGraph DB
TigerGraph DB

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

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.

Cloud scaling;Available in all major providers;24x7 monitoring;Expert support;Backups;Dashboard;Extensible;Pay as you go;Team collaboration
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
14
Stacks
24
Followers
27
Followers
39
Votes
0
Votes
1
Integrations
Neo4j
Neo4j
Microsoft Azure
Microsoft Azure
Heroku
Heroku
No integrations available

What are some alternatives to GrapheneDB, TigerGraph DB?

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.

Amazon Neptune

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.

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