DBMS > Altibase vs. ArcadeDB vs. JaguarDB

System Properties Comparison Altibase vs. ArcadeDB vs. JaguarDB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten

Performant, highly scalable DBMS for AI and IoT applications

Primary database model

Relational DBMS

Document store
Graph DBMS
Key-value store
Time Series DBMS

in next version

Key-value store

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

Score	0.93
Rank	#181	Overall
	#88	Relational DBMS

Score	0.13
Rank	#305	Overall
	#40	Document stores
	#27	Graph DBMS
	#44	Key-value stores
	#27	Time Series DBMS

Score	0.00
Rank	#363	Overall
	#57	Key-value stores

Website

altibase.com

arcadedb.com

www.datajaguar.com

Technical documentation

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

docs.arcadedb.com

www.datajaguar.com/support.php

Developer

Altibase

Arcade Data

DataJaguar, Inc.

Initial release

1999

2021

2015

Current release

v7.1.0.5.3, March 2021

September 2021

2.9.4 September 2018

License

Commercial or Open Source

Open Source

since February 2018

Open Source

Apache Version 2.0

Open Source

GPL V3.0

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++

Java

C++

the server part. Clients available in other languages

Server operating systems

AIX
HP-UX
Linux

All OS with a Java VM

Linux

Data scheme

yes

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

SQL-like query language, no joins

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

JDBC
ODBC

Supported programming languages

C
C++
Java

Java

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

Server-side scripts

Stored procedures

stored procedures and stored functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

Multi-source 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

relationship in graphs

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.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

rights management via user accounts

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