DBMS > NebulaGraph

NebulaGraph System Properties

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Editorial information provided by DB-Engines

Name

Description

A distributed, linear scalable, high perfomant Graph DBMS

Primary database model

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Website

github.com/vesoft-inc/nebula
www.nebula-graph.io

Technical documentation

docs.nebula-graph.io

Developer

Vesoft Inc.

Initial release

2019

License

Commercial or Open Source

Open Source

Apache Version 2.0 + Common Clause 1.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

Linux

Data scheme

Strong typed schema

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

Supported programming languages

.Net
C++
Go
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database, while still providing millisecond latency, high availability and data security. Key features include:

Open source. We are continuing to collaborate with the community to prepare, populorize the graph database.
Horizontal and vertical scalability. With a shared-nothing distributed architecture, NebulaGraph offers linear scalability.
High performance. NebulaGraph provides low latency read and write, while still maintaining high throughput. NebulaGraph has published its benchmark report based on the LDBC social networking dataset for k-hop read performance in terms of latency and throughput. See the report for details.
Highly available. With horizontal scalability and a snapshot feature, NebulaGraph guarantees high availability even in case of failures.
Highly secured graph database. NebulaGraph only allows authenticated access via role-based access control.
SQL-like query language. NebulaGraph's SQL-like query language, nGQL, is easy to understand and powerful enough to meet complex business needs.
Extensible. NebulaGraph supports multiple storage engine types and multiple computing frameworks.
Production ready. Several large Internet companies have deployed NebulaGraph in production environments.

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host graphs with dozens of billions of vertices and trillions of edges, while still providing millisecond latency, high availability and data security.

Typical application scenarios

Social networking
Fraud detection
Knowledge graph
Data warehouse management
Anti money laundery
Graph analytics and algorithms
Artificial intelligence
Graph Embedding

Key customers

Companies from a variety of industries have implemented NebulaGraph Database in production, including:

1. Snapchat

2. ReversingLabs

3. Akulaku

4. Bigo

5. Soul

6. Thatgamecompany

7. WeChat

8. vivo

9. IRL

10. Didi

11. 360 Financial Services

12. WeBank

13. JD Digit

Find more at https://nebula-graph.io/cases

Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub and thousands of downloads and installs. And the numbers are counting.

Licensing and pricing models

NebulaGraph is open source and free to use under Apache 2.0 license.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

NebulaGraph Enterprise v5.0: The First Distributed Graph Database to Offer Native GQL Support
18 April 2024, Yahoo Finance

NebulaGraph Enterprise v3.7.0 Empowers Enterprises to Build Knowledge Graphs with a Few Clicks
3 April 2024, PR Newswire

Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems
15 November 2023, PR Newswire

NebulaGraph reaps from China’s growing appetite for graph databases
16 September 2022, TechCrunch

Beginner’s Guide to NebulaGraph Database | by Ng Wai Foong
26 October 2022, Towards Data Science

provided by Google News

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