DBMS > Altibase vs. EJDB vs. IBM Db2 vs. YottaDB

System Properties Comparison Altibase vs. EJDB vs. IBM Db2 vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

Common in IBM host environments, 2 different versions for host and Windows/Linux

A fast and solid embedded Key-value store

Primary database model

Relational DBMS

Document store

Relational DBMS

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Key-value store

Secondary database models

Document store
RDF store

in Db2 LUW (Linux, Unix, Windows)
Spatial DBMS

with Db2 Spatial Extender

Relational DBMS

using the Octo plugin

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.31
Rank	#296	Overall
	#44	Document stores

Score	125.90
Rank	#9	Overall
	#6	Relational DBMS

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

altibase.com

github.com/Softmotions/ejdb

www.ibm.com/products/db2

yottadb.com

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

github.com/Softmotions/ejdb/blob/master/README.md

www.ibm.com/docs/en/db2

yottadb.com/resources/documentation

Developer

Altibase

Softmotions

IBM

YottaDB, LLC

Initial release

1999

2012

1983

host version

2001

Current release

v7.3, 2023, August 2023

12.1, October 2016

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

GPLv2

commercial

free version is available

Open Source

AGPL 3.0

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++

C and C++

Server operating systems

AIX
HP-UX
Linux

server-less

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Docker
Linux

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

by using the Octo plugin

APIs and other access methods

JDBC
ODBC
Proprietary protocol

in-process shared library

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C++
Java

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

only with Windows/Unix/Linux Version

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

with separate tools (MQ, InfoSphere)

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

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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

Users and groups based on OS-security mechanisms

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