DBMS > JanusGraph vs. NSDb vs. openGemini vs. OpenMLDB

System Properties Comparison JanusGraph vs. NSDb vs. openGemini vs. OpenMLDB

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Editorial information provided by DB-Engines

Name

Description

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

An open-source machine learning database that provides a feature platform for training and inference

Primary database model

Graph DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	1.94
Rank	#129	Overall
	#12	Graph DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.01
Rank	#375	Overall
	#39	Time Series DBMS

Score	0.02
Rank	#367	Overall
	#37	Time Series DBMS

Website

janusgraph.org

nsdb.io

www.opengemini.org
github.com/openGemini

openmldb.ai

Technical documentation

docs.janusgraph.org

nsdb.io/Architecture

docs.opengemini.org/guide

openmldb.ai/docs/zh/main

Developer

Linux Foundation; originally developed as Titan by Aurelius

Huawei and openGemini community

4 Paradigm Inc.

Initial release

2017

2022

2020

Current release

0.6.3, February 2023

1.1, July 2023

2024-2 February 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

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

Java

Java, Scala

C++, Java, Scala

Server operating systems

Linux
OS X
Unix
Windows

Linux
macOS

Linux
Windows

Linux

Data scheme

yes

schema-free

Fixed schema

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

Integer, Float, Boolean, String

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

all fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

gRPC
HTTP REST
WebSocket

HTTP REST

JDBC
SQLAlchemy

Supported programming languages

Clojure
Java
Python

Java
Scala

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

C++
Go
Java
Python
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Eventual Consistency

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

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

Using Apache Lucene

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

User authentification and security via Rexster Graph Server

Administrators and common users accounts

fine grained access rights according to SQL-standard

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More resources

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