DBMS > DolphinDB vs. Graph Engine vs. H2 vs. OpenEdge

System Properties Comparison DolphinDB vs. Graph Engine vs. H2 vs. OpenEdge

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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.

Application development environment with integrated database management system

Primary database model

Time Series DBMS

Graph DBMS
Key-value store

Relational DBMS

Secondary database models

Relational DBMS

Spatial DBMS

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

Score	1.65
Rank	#139	Overall
	#9	Time Series DBMS

Score	0.88
Rank	#187	Overall
	#16	Graph DBMS
	#31	Key-value stores

Score	9.90
Rank	#51	Overall
	#31	Relational DBMS

Score	4.48
Rank	#85	Overall
	#45	Relational DBMS

Website

www.dolphindb.com

www.graphengine.io

www.h2database.com

www.progress.com/openedge

Technical documentation

www.dolphindb.com/help

www.graphengine.io/docs/manual

www.h2database.com/html/main.html

documentation.progress.com/output/ua/OpenEdge_latest

Developer

DolphinDB, Inc

Microsoft

Thomas Mueller

Progress Software Corporation

Initial release

2018

2010

2005

1984

Current release

v2.00.4, January 2022

2.1.210, January 2022

OpenEdge 12.2, March 2020

License

Commercial or Open Source

commercial

free community version available

Open Source

MIT License

Open Source

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

commercial

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++

.NET and C

Java

Server operating systems

Linux
Windows

.NET

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

close to SQL 92

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

Supported programming languages

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

C#
C++
F#
Visual Basic

Java

Progress proprietary ABL (Advanced Business Language)

Server-side scripts

Stored procedures

yes

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

horizontal partitioning

since Version 11.4

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

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

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

In-memory capabilities

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

yes

User concepts

Access control

Administrators, Users, Groups

fine grained access rights according to SQL-standard

Users and groups

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More resources

Recent citations in the news

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Can Streaming Graphs Clean Up the Data Pipeline Mess?
28 March 2022, Datanami

Cutting-edge Katana Graph scores $28.5 million Series A Led by Intel Capital
24 February 2021, ZDNet

How Google and Microsoft taught search to “understand” the Web
6 June 2012, Ars Technica

provided by Google News

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