DBMS > HugeGraph vs. NebulaGraph vs. OpenSearch vs. RisingWave

System Properties Comparison HugeGraph vs. NebulaGraph vs. OpenSearch vs. RisingWave

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Editorial information provided by DB-Engines

Name

Description

A fast-speed and highly-scalable Graph DBMS

A distributed, linear scalable, high perfomant Graph DBMS

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

A distributed RDBMS for stream processing, wire-compatible with PostgreSQL

Primary database model

Graph DBMS

Search engine

Relational DBMS

Secondary database models

Vector DBMS

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

Score	0.17
Rank	#335	Overall
	#31	Graph DBMS

Score	2.23
Rank	#116	Overall
	#10	Graph DBMS

Score	16.03
Rank	#37	Overall
	#4	Search engines

Score	0.64
Rank	#238	Overall
	#110	Relational DBMS

Website

github.com/hugegraph
hugegraph.apache.org

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

github.com/opensearch-project
opensearch.org

www.risingwave.com/database

Technical documentation

hugegraph.apache.org/docs

docs.nebula-graph.io

opensearch.org/docs/latest

docs.risingwave.com/docs/current/intro

Developer

Baidu

Vesoft Inc.

Amazon Web Services

RisingWave Labs

Initial release

2018

2019

2021

2022

Current release

0.9

2.5.0, January 2023

1.2, September 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0 + Common Clause 1.0

Open Source

Apache Version 2.0

Open Source

Apache Version 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.

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Implementation language

Java

C++

Java

Rust

Server operating systems

Linux
macOS
Unix

Linux

All OS with a Java VM

Docker
Linux
macOS

Data scheme

yes

Strong typed schema

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

Standard SQL-types and JSON

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

also supports composite index and range index

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.

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Java API
RESTful HTTP API
TinkerPop Gremlin

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

Java API
RESTful HTTP/JSON API

JDBC
PostgreSQL wire protocol

Supported programming languages

Groovy
Java
Python

.Net
C++
Go
Java
PHP
Python

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

asynchronous Gremlin script jobs

user defined functions

yes

UDFs in Python or Java

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

depending on used storage backend, e.g. Cassandra and HBase

Causal Clustering using Raft protocol

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

via hugegraph-spark

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

yes

edges in graph

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

Users, roles and permissions

Role-based access control

Users and Roles

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
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Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
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Typical application scenarios

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

The OpenSearch platform is used across a broad range of search , analytics, and observability...
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Key customers

Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more

Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more

Licensing and pricing models

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

The OpenSearch Project offers open source software licensed under Apache License...
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