DBMS > NebulaGraph vs. Spark SQL

System Properties Comparison NebulaGraph vs. Spark SQL

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Editorial information provided by DB-Engines

Name

Description

A distributed, linear scalable, high perfomant Graph DBMS

Spark SQL is a component on top of 'Spark Core' for structured data processing

Primary database model

Graph DBMS

Relational DBMS

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

Score	2.61
Rank	#131	Overall
	#9	Graph DBMS

Score	20.09
Rank	#35	Overall
	#21	Relational DBMS

Website

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

spark.apache.org/sql

Technical documentation

docs.nebula-graph.io

spark.apache.org/docs/latest/sql-programming-guide.html

Developer

Vesoft Inc.

Apache Software Foundation

Initial release

2019

2014

Current release

3.4.0 ( 2.13), April 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0 + Common Clause 1.0

Open Source

Apache 2.0

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++

Scala

Server operating systems

Linux

Linux
OS X
Windows

Data scheme

Strong typed schema

yes

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

SQL-like DML and DDL statements

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

JDBC
ODBC

Supported programming languages

.Net
C++
Go
Java
PHP
Python

Java
Python
R
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes, utilizing Spark Core

Replication methods

Methods for redundantly storing data on multiple nodes

Causal Clustering using Raft protocol

none

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

yes

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,...
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Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
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Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

Currently we have some top internet companies in China implementing NebulaGraph in...
» more

Market metrics

At our very early stage, NebulaGraph has already received over 8,200 stars and thousands...
» more

Licensing and pricing models

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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