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DBMS > DolphinDB vs. Graph Engine vs. H2 vs. SQL.JS

System Properties Comparison DolphinDB vs. Graph Engine vs. H2 vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

Port of SQLite to JavaScript

Primary database model

Time Series DBMS

Graph DBMS
Key-value store

Relational DBMS

Relational DBMS

Secondary database models

Relational DBMS

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

Score	4.23
Rank	#82	Overall
	#6	Time Series DBMS

Score	0.62
Rank	#240	Overall
	#21	Graph DBMS
	#35	Key-value stores

Score	8.22
Rank	#50	Overall
	#32	Relational DBMS

Score	0.57
Rank	#248	Overall
	#114	Relational DBMS

Website

www.dolphindb.com

www.graphengine.io

www.h2database.com

Technical documentation

docs.dolphindb.cn/en/help200/index.html

www.graphengine.io/docs/manual

www.h2database.com/html/main.html

sql.js.org/documentation/index.html

Developer

DolphinDB, Inc

Microsoft

Thomas Mueller

Alon Zakai

enhancements implemented by others

Initial release

2018

2010

2005

2012

Current release

v2.00.4, January 2022

2.2.220, July 2023

License

Commercial or Open Source

commercial

free community version available

Open Source

MIT License

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

.NET and C

Java

JavaScript

Server operating systems

Linux
Windows

.NET

All OS with a Java VM

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

yes

yes

yes

Typing

predefined data types such as float or date

yes

yes

yes

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.

no

no

no

no

Secondary indexes

yes

yes

SQL

Support of SQL

SQL-like query language

no

yes

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

RESTful HTTP API

JDBC
ODBC

JavaScript API

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

C#
C++
F#
Visual Basic

Java

JavaScript

Server-side scripts

Stored procedures

yes

yes

Java Stored Procedures and User-Defined Functions

no

Triggers

no

no

yes

no

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

horizontal partitioning

none

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

With clustering: 2 database servers on different computers operate on identical copies of a database

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

no

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency

none

Foreign keys

Referential integrity

no

no

yes

yes

Transaction concepts

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

yes

no

ACID

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage

yes

no

except by serializing a db to a file

In-memory capabilities

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

yes

yes

yes

yes

User concepts

Access control

Administrators, Users, Groups

fine grained access rights according to SQL-standard

no

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More resources

DB-Engines blog posts

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