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What is Graph Story?

Organizations opting for a do-it-yourself approach to implement a graph database should expect a preparation period of approximately 2 to 3 months before reaching a production-ready status. On the other hand, utilizing Graph Story’s managed services can enable you to set up your operational database in mere minutes. You can uncover a range of graph use cases while also examining a comparative analysis between self-hosting and managed services. We support deployments within your current infrastructure, whether it is hosted on AWS, Azure, or Google Compute Engine, and we can accommodate any geographical area. If you need VPC peering or specific IP access restrictions, we can swiftly tailor our services to meet those requirements. For those interested in developing a proof of concept, launching a single enterprise graph instance can be accomplished in just a few clicks. If your needs shift towards scaling up to a high-availability production cluster, we are ready to provide support! Our graph database management tools are crafted to enhance your experience, allowing for easy monitoring of CPU, memory, and disk usage. Furthermore, you will have access to crucial configurations, logs, and the ability to back up your database and restore snapshots as needed. This degree of adaptability guarantees that your graph database management meets your operational needs seamlessly. Additionally, our support team is always available to help troubleshoot any issues, ensuring a smooth experience throughout your database management journey.

What is GraphDB?

GraphDB facilitates the development of extensive knowledge graphs by connecting various data sources and optimizing them for semantic search capabilities. It stands out as a powerful graph database, proficient in handling RDF and SPARQL queries efficiently. Moreover, GraphDB features a user-friendly replication cluster, which has proven effective in numerous enterprise scenarios that demand data resilience during loading processes and query execution. For a concise overview and to access the latest versions, you can check out the GraphDB product page. Utilizing RDF4J for data storage and querying, GraphDB also accommodates a diverse array of query languages, including SPARQL and SeRQL, while supporting multiple RDF syntaxes like RDF/XML and Turtle. This versatility makes GraphDB an ideal choice for organizations seeking to leverage their data more effectively.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
Google Compute Engine
Microsoft Azure

Integrations Supported

Azure Marketplace
Gate
Hackolade
MongoDB
SolrCommerce

API Availability

Has API

API Availability

Pricing Information

$299 per month

Pricing Information

Free, Standard and Enterprise versions available
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Graph Story

Date Founded

2014

Company Location

United States

Company Website

www.graphstory.com

Company Facts

Organization Name

Ontotext

Date Founded

2008

Company Location

Bulgaria

Company Website

www.ontotext.com/product/graphdb

Categories and Features

Graph Databases

Not specified

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Graph Databases

Not specified

Semantic Search

Not specified

Text Analytics

Not specified

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