DBMS > OpenQM vs. SAP Adaptive Server vs. Sequoiadb vs. Transwarp StellarDB

System Properties Comparison OpenQM vs. SAP Adaptive Server vs. Sequoiadb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

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

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

NewSQL database with distributed OLTP and SQL

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Multivalue DBMS

Relational DBMS

Document store
Relational DBMS

Graph DBMS

Secondary database models

Spatial DBMS

with Boeing's Spatial Query Server

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

Score	0.34
Rank	#284	Overall
	#10	Multivalue DBMS

Score	35.09
Rank	#25	Overall
	#17	Relational DBMS

Score	0.50
Rank	#258	Overall
	#41	Document stores
	#120	Relational DBMS

Score	0.07
Rank	#371	Overall
	#39	Graph DBMS

Website

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

www.sap.com/products/technology-platform/sybase-ase.html

www.sequoiadb.com

www.transwarp.cn/en/product/stellardb

Technical documentation

help.sap.com/docs/SAP_ASE

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

Developer

Rocket Software, originally Martin Phillips

SAP, Sybase

Sequoiadb Ltd.

Transwarp

Initial release

1993

1987

2013

Current release

3.4-12

16.0

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

commercial

Open Source

Server: AGPL; Client: Apache V2

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 and C++

C++

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Unix
Windows

Linux

Data scheme

yes

with some exceptions

yes

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

yes

SQL-like query language

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

proprietary protocol using JSON

OpenCypher

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

C
C++
Cobol
Java
Java
Perl
PHP
Python

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

yes

Java and Transact-SQL

JavaScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Document is locked during a transaction

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.

User concepts

Access control

Access rights can be defined down to the item level

fine grained access rights according to SQL-standard

simple password-based access control

yes

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