DBMS > Altibase vs. MySQL vs. Oracle Coherence vs. TigerGraph

System Properties Comparison Altibase vs. MySQL vs. Oracle Coherence vs. TigerGraph

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Widely used open source RDBMS

Oracles in-memory data grid solution

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

Primary database model

Relational DBMS

Key/Value like access via memcached API

Key-value store

Graph DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	1083.74
Rank	#2	Overall
	#2	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	1.83
Rank	#139	Overall
	#13	Graph DBMS

Website

altibase.com

www.mysql.com

www.oracle.com/java/coherence

www.tigergraph.com

Technical documentation

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

dev.mysql.com/doc

docs.oracle.com/en/middleware/standalone/coherence

docs.tigergraph.com

Developer

Altibase

Oracle

since 2010, originally MySQL AB, then Sun

Oracle

Initial release

1999

1995

2007

2017

Current release

v7.3, 2023, August 2023

8.4.0, April 2024

14.1, August 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

C and C++

Java

C++

Server operating systems

AIX
HP-UX
Linux

FreeBSD
Linux
OS X
Solaris
Windows

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.

yes

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

yes

with proprietary extensions

SQL-like query language (GSQL)

APIs and other access methods

JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC
Proprietary native API

JCache
JPA
RESTful HTTP API

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

C
C++
Java

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C++
Java

C++
Java

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

proprietary syntax

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

not for MyISAM storage engine

yes

Relationships in graphs

Transaction concepts

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

ACID

not for MyISAM storage engine

configurable

ACID

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

yes

Durability

Support for making data persistent

yes

optionally

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 with fine-grained authorization concept

no user groups or roles

authentification to access the cache via certificates or http basic authentication

Role-based access control

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