DBMS > Altibase vs. AntDB vs. Microsoft Azure Synapse Analytics vs. TinkerGraph

System Properties Comparison Altibase vs. AntDB vs. Microsoft Azure Synapse Analytics vs. TinkerGraph

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

A scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with Oracle

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Primary database model

Relational DBMS

Graph DBMS

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

Score	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.23
Rank	#317	Overall
	#141	Relational DBMS

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.13
Rank	#345	Overall
	#35	Graph DBMS

Website

altibase.com

www.asiainfo.com/en_us/product_aisware_antdb_detail.html

azure.microsoft.com/services/synapse-analytics

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

Technical documentation

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

docs.microsoft.com/azure/synapse-analytics

Developer

Altibase

AsiaInfo Technologies Limited

Microsoft

Initial release

1999

2016

2009

Current release

v7.3, 2023, August 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Java

Server operating systems

AIX
HP-UX
Linux

hosted

Data scheme

yes

schema-free

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

SQL2016 compliant

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

JDBC
MySQL protocol compliant
ODBC

ADO.NET
JDBC
ODBC

TinkerPop 3

Supported programming languages

C
C++
Java

C#
Java
PHP

Groovy
Java

Server-side scripts

Stored procedures

stored procedures and stored functions

Transact SQL

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

none

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Relationships 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

optional

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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More resources

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