DBMS > GBase vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SQream DB vs. Valentina Server

System Properties Comparison GBase vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server vs. SQream DB vs. Valentina Server

Editorial information provided by DB-Engines

Name

SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Low-cost RDBMS with access to ISAM and FoxPro data structures

a GPU-based, columnar RDBMS for big data analytics workloads

Object-relational database and reports server

Primary database model

Relational DBMS

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

Score	1.05
Rank	#186	Overall
	#86	Relational DBMS

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.74
Rank	#224	Overall
	#103	Relational DBMS

Score	0.21
Rank	#325	Overall
	#144	Relational DBMS

Website

www.gbase.cn

azure.microsoft.com/services/synapse-analytics

www.sap.com/products/advantage-database-server.html

sqream.com

www.valentina-db.net

Technical documentation

docs.microsoft.com/azure/synapse-analytics

docs.sqream.com

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

General Data Technology Co., Ltd.

Microsoft

Sybase, SAP

SQream Technologies

Paradigma Software

Initial release

2004

2016

1993

2017

1999

Current release

GBase 8a, GBase 8s, GBase 8c

2022.1.6, December 2022

5.7.5

License

Commercial or Open Source

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.

Implementation language

C, Java, Python

C++

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux

hosted

Linux
Windows

Linux

Linux
OS X
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

Secondary indexes

yes

SQL

Support of SQL

Standard with numerous extensions

yes

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

ADO.NET
JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

.Net
JDBC
ODBC

ODBC

Supported programming languages

C#
Java
PHP

Delphi
Perl
PHP

C++
Java
JavaScript (Node.js)
Python

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

user defined functions

Transact SQL

yes

user defined functions in Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding, horizontal partitioning

none

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
Source-replica replication

none

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

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

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.

caching of (temporary) tables can be configured

yes

User concepts

Access control

yes

fine grained access rights according to SQL-standard

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