DBMS > DolphinDB vs. Newts vs. OpenQM vs. Stardog

System Properties Comparison DolphinDB vs. Newts vs. OpenQM vs. Stardog

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Editorial information provided by DB-Engines

Name

Description

Time Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming language

Time Series DBMS based on Cassandra

QpenQM is a high-performance, self-tuning, multi-value DBMS

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Time Series DBMS

Multivalue DBMS

Graph DBMS
RDF store

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

Score	0.74
Rank	#198	Overall
	#12	Time Series DBMS

Score	0.00
Rank	#335	Overall
	#31	Time Series DBMS

Score	0.39
Rank	#244	Overall
	#10	Multivalue DBMS

Score	1.47
Rank	#144	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

www.dolphindb.com

opennms.github.io/newts

www.openqm.com

www.stardog.com

Technical documentation

www.dolphindb.com/help

github.com/OpenNMS/newts/wiki

www.openqm.com/support/documentation

www.stardog.com/docs

Developer

DolphinDB, Inc

OpenNMS Group

Martin Phillips

Stardog-Union

Initial release

2018

2014

1993

2010

Current release

3.4-12

7.3.0, May 2020

License

Commercial or Open Source

commercial

free community version available

Open Source

Apache 2.0

Open Source

GPLv2, extended commercial license available

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

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++

Java

Server operating systems

Linux
Windows

Linux
OS X
Windows

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux
macOS
Windows

Data scheme

schema-free

yes

with some exceptions

schema-free and OWL/RDFS-schema support

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

Import/export of XML data possible

Secondary indexes

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

SQL-like query language

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

JDBC
ODBC

HTTP REST
Java API

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

C#
C++
Java
JavaScript
Python
R

Java

.Net
Basic
C
Java
Objective C
PHP
Python

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

based on Cassandra

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on Cassandra

yes

Multi-source replication in HA-Cluster

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

relationships in graphs

Transaction concepts

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

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

Access rights can be defined down to the item level

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Stardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more

Competitive advantages

Stardog provides a full featureset to aid in data integration for your complex data....
» more

Typical application scenarios

Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more

Key customers

Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more

Market metrics

Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more

Licensing and pricing models

A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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

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Recent citations in the news

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

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