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What is Nebula Graph?

Tailored for managing extraordinarily large graphs with latency in the millisecond range, this graph database actively interacts with its community to enhance its preparation, promotion, and visibility. Nebula Graph guarantees secure access through role-based access control, permitting entry only to verified users. The database accommodates a variety of storage engines and features a flexible query language, which facilitates the addition of new algorithms. By delivering low latency for both reading and writing operations, Nebula Graph achieves high throughput, effortlessly managing even the most complex data sets. Its distributed architecture, designed with a shared-nothing approach, allows for linear scalability, making it an excellent option for growing enterprises. The user-friendly, SQL-like query language is robust enough to tackle intricate business challenges. With capabilities such as horizontal scalability and the ability to take snapshots, Nebula Graph ensures high availability, even amidst system failures. Additionally, notable companies like JD, Meituan, and Xiaohongshu have successfully integrated Nebula Graph into their operational frameworks, demonstrating its dependability and performance in practical scenarios. This broad utilization underscores the database's proficiency in fulfilling the requirements of extensive data management while also promoting continuous improvement and innovation within the community.

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

Docker
Second State

Integrations Supported

Azure Marketplace
Gate
Hackolade
MongoDB
SolrCommerce

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free, Standard and Enterprise versions available
Free Version

Supported Platforms

Linux

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard 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

vesoft

Date Founded

2018

Company Location

China

Company Website

nebula-graph.io

Company Facts

Organization Name

Ontotext

Date Founded

2008

Company Location

Bulgaria

Company Website

www.ontotext.com/product/graphdb

Categories and Features

Distributed Databases

Not specified

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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