DBMS > DolphinDB vs. GBase vs. PostGIS vs. SAP IQ

System Properties Comparison DolphinDB vs. GBase vs. PostGIS vs. SAP IQ

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Editorial information provided by DB-Engines

Name

Description

DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.

An analytical database for business intelligence with large customers in China.

Spatial extension of PostgreSQL

Columnar RDBMS optimized for Big Data analytics

Primary database model

column-oriented

Secondary database models

Relational DBMS

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

Score	4.23
Rank	#82	Overall
	#6	Time Series DBMS

Score	1.04
Rank	#190	Overall
	#88	Relational DBMS

Score	23.90
Rank	#29	Overall
	#1	Spatial DBMS

Score	3.27
Rank	#96	Overall
	#50	Relational DBMS

Website

www.dolphindb.com

www.gbase.cn

postgis.net

www.sap.com/products/technology-platform/sybase-iq-big-data-management.html

Technical documentation

docs.dolphindb.cn/en/help200/index.html

postgis.net/documentation

help.sap.com/docs/SAP_IQ

Developer

DolphinDB, Inc

SAP, formerly Sybase

Initial release

2018

2005

1994

Current release

v2.00.4, January 2022

GBase 8a

3.4.2, February 2024

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

free community version available

commercial

Open Source

GPL v2.0

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++

Server operating systems

Linux
Windows

AIX
HP-UX
Linux
Solaris
Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

yes

based on PostgreSQL

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on PostgreSQL

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

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

yes

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

Administrators, Users, Groups

yes

based on PostgreSQL

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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