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Description
Designed specifically for handling super large-scale graphs with latency measured in milliseconds, this graph database continues to engage with the community for its preparation, promotion, and popularization. Nebula Graph ensures that access is secured through role-based access control, allowing only authenticated users. The database supports various types of storage engines and its query language is adaptable, enabling the integration of new algorithms. By providing low latency for both read and write operations, Nebula Graph maintains high throughput, effectively simplifying even the most intricate data sets. Its shared-nothing distributed architecture allows for linear scalability, making it an efficient choice for expanding businesses. The SQL-like query language is not only user-friendly but also sufficiently robust to address complex business requirements. With features like horizontal scalability and a snapshot capability, Nebula Graph assures high availability, even during failures. Notably, major internet companies such as JD, Meituan, and Xiaohongshu have successfully implemented Nebula Graph in their production environments, showcasing its reliability and performance in real-world applications. This widespread adoption highlights the database's effectiveness in meeting the demands of large-scale data management.
Description
RelationalAI represents a cutting-edge database system tailored for advanced data applications that leverage relational knowledge graphs. By focusing on data-centric application design, it effectively merges data with logic into modular models. These intelligent applications possess the capability to comprehend and utilize every relationship present within a model. The system employs a knowledge graph framework that allows for the articulation of knowledge in the form of executable models. These models offer the benefit of being easily expanded through declarative programs that are accessible and understandable to humans. With RelationalAI's versatile and expressive declarative language, developers can achieve a remarkable reduction in code size, ranging from 10 to 100 times less. This accelerates the development of applications and enhances their quality by involving non-technical users in the creation process while automating complex programming tasks. By leveraging the adaptable graph data model, users can build a robust data-centric architecture. Additionally, the integration of models paves the way for the exploration of new relationships, effectively dismantling barriers that exist between various applications. Ultimately, this innovative approach not only streamlines development but also fosters collaboration across different domains.
API Access
Has API
API Access
Has API
Integrations
Docker
Second State
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
vesoft
Founded
2018
Country
China
Website
nebula-graph.io
Vendor Details
Company Name
RelationalAI
Country
United States
Website
relational.ai/
Product Features
Product Features
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support