DBMS > IBM Db2 warehouse vs. OpenTenBase vs. Transwarp StellarDB

System Properties Comparison IBM Db2 warehouse vs. OpenTenBase vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

Cloud-based data warehousing service

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Relational DBMS

Graph DBMS

DB-Engines Ranking measures the popularity of database management systems
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Score	1.25
Rank	#164	Overall
	#75	Relational DBMS

Score	0.00
Rank	#392	Overall
	#158	Relational DBMS

Score	0.00
Rank	#392	Overall
	#41	Graph DBMS

Website

www.ibm.com/products/db2/warehouse

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

www.transwarp.cn/en/product/stellardb

Technical documentation

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

Developer

IBM

OpenAtom Foundation, previously Tencent

Transwarp

Initial release

2014

Current release

2.5, January 2024

License

Commercial or Open Source

commercial

Open Source

BSD-3

commercial

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.

Server operating systems

hosted

Linux

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.

Import/export of XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

.NET Client API
JDBC
ODBC
OLE DB

OpenCypher

Supported programming languages

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

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

PL/SQL, SQL PL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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

fine grained access rights according to SQL-standard

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

yes

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More resources

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provided by Google News

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