DBMS > OpenTenBase vs. OpenTSDB vs. Oracle Coherence vs. RDF4J

System Properties Comparison OpenTenBase vs. OpenTSDB vs. Oracle Coherence vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

An enterprise-level distributed HTAP open source database based on PostgreSQL

Scalable Time Series DBMS based on HBase

Oracles in-memory data grid solution

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

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

Score	0.00
Rank	#383	Overall
	#158	Relational DBMS

Score	1.68
Rank	#146	Overall
	#12	Time Series DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Website

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

opentsdb.net

www.oracle.com/java/coherence

rdf4j.org

Technical documentation

docs.opentenbase.org
docs.opentenbase.org/en

opentsdb.net/docs/build/html/index.html

docs.oracle.com/en/middleware/standalone/coherence

rdf4j.org/documentation

Developer

OpenAtom Foundation, previously Tencent

currently maintained by Yahoo and other contributors

Oracle

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2011

2007

2004

Current release

2.5, January 2024

14.1, August 2023

License

Commercial or Open Source

Open Source

BSD-3

Open Source

LGPL

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

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.

Implementation language

Java

Server operating systems

Linux

Linux
Windows

All OS with a Java VM

Linux
OS X
Unix
Windows

Data scheme

yes

schema-free

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

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

SQL

Support of SQL

yes

APIs and other access methods

HTTP API
Telnet API

JCache
JPA
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C
Go
Java
PHP
Python

Erlang
Go
Java
Python
R
Ruby

.Net
C++
Java

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on HBase

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

based on HBase

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

in-memory storage is supported as well

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

authentification to access the cache via certificates or http basic authentication

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