DBMS > gStore vs. IBM Db2 warehouse vs. Sequoiadb vs. SiriDB vs. Transbase

System Properties Comparison gStore vs. IBM Db2 warehouse vs. Sequoiadb vs. SiriDB vs. Transbase

Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

Cloud-based data warehousing service

NewSQL database with distributed OLTP and SQL

Open Source Time Series DBMS

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Graph DBMS
RDF store

Relational DBMS

Document store
Relational DBMS

Time Series DBMS

Relational DBMS

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

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	1.30
Rank	#164	Overall
	#75	Relational DBMS

Score	0.45
Rank	#261	Overall
	#41	Document stores
	#122	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Website

en.gstore.cn

www.ibm.com/products/db2/warehouse

www.sequoiadb.com

siridb.com

www.transaction.de/en/products/transbase.html

Technical documentation

en.gstore.cn/#/enDocs

www.sequoiadb.com/en/index.php?m=Files&a=index

docs.siridb.com

www.transaction.de/en/products/transbase/features.html

Developer

IBM

Sequoiadb Ltd.

Cesbit

Transaction Software GmbH

Initial release

2016

2014

2013

2017

1987

Current release

1.2, November 2023

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

Server: AGPL; Client: Apache V2

Open Source

MIT License

commercial

free development license

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C and C++

Server operating systems

Linux

hosted

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

schema-free and OWL/RDFS-schema support

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

yes

Numeric data

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.

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

yes

APIs and other access methods

HTTP API
SPARQL 1.1

.NET Client API
JDBC
ODBC
OLE DB

proprietary protocol using JSON

HTTP API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

.Net
C++
Java
PHP
Python

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

JavaScript

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

Document is locked during a transaction

yes

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

fine grained access rights according to SQL-standard

simple password-based access control

simple rights management via user accounts

fine grained access rights according to SQL-standard

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