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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 Grakn?

The cornerstone of developing intelligent systems is the database, with Grakn exemplifying a highly advanced knowledge graph database. It boasts a remarkably intuitive and expressive data schema, enabling the creation of hierarchies, hyper-entities, hyper-relations, and rules for constructing comprehensive knowledge models. Grakn employs an intelligent language that performs logical inferences on various data types, relationships, attributes, and complex patterns in real-time across both distributed and stored data. Additionally, it includes integrated distributed analytics algorithms, such as Pregel and MapReduce, which users can easily access through simple queries within the language. The system abstracts low-level patterns effectively, making it easier to articulate intricate constructs while ensuring that query execution is optimized automatically. By utilizing Grakn KGMS and Workbase, businesses can efficiently expand their knowledge graphs. Moreover, this distributed database is designed to operate optimally across a network of computers by employing strategies like partitioning and replication, which guarantees consistent scalability and performance. Ultimately, Grakn not only streamlines the management of complex data but also enhances the overall capability of intelligent systems.

Media

Media

Integrations Supported

Docker
Second State

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

vesoft

Date Founded

2018

Company Location

China

Company Website

nebula-graph.io

Company Facts

Organization Name

Grakn Labs

Date Founded

2016

Company Website

grakn.ai/

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

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