DBMS > Cubrid vs. Interbase vs. SAP HANA vs. SpatiaLite

System Properties Comparison Cubrid vs. Interbase vs. SAP HANA vs. SpatiaLite

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Editorial information provided by DB-Engines

Name

Description

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Light-weight proven RDBMS

originally from Borland

In-memory, column based data store. Available as appliance or cloud service

Spatial extension of SQLite

Primary database model

Relational DBMS

Spatial DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Relational DBMS

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

Score	0.97
Rank	#189	Overall
	#86	Relational DBMS

Score	3.78
Rank	#77	Overall
	#41	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	1.56
Rank	#142	Overall
	#3	Spatial DBMS

Website

cubrid.com (korean)
cubrid.org (english)

www.embarcadero.com/products/interbase

www.sap.com/products/hana.html

www.gaia-gis.it/fossil/libspatialite/index

Technical documentation

cubrid.org/manuals

docs.embarcadero.com/products/interbase

help.sap.com/hana

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

CUBRID Corporation, CUBRID Foundation

Embarcadero

SAP

Alessandro Furieri

Initial release

2008

1984

2010

2008

Current release

11.0, January 2021

InterBase 2020, December 2019

2.0 SPS07 (April 4, 2023), April 2023

5.0.0, August 2020

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C, C++, Java

C++

Server operating systems

Linux
Windows

Android
iOS
Linux
OS X
Windows

Appliance or cloud-service

server-less

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.

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

ADO.NET
JDBC
ODBC

JDBC
ODBC

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Interbase procedure and trigger language

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Interbase Change Views

yes

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

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

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

yes

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