DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. H2GIS vs. MonetDB vs. RethinkDB vs. Yanza

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. H2GIS vs. MonetDB vs. RethinkDB vs. Yanza

Editorial information provided by DB-Engines

Name

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

An online MPP (Massively Parallel Processing) data warehousing service based on Greenplum

Spatial extension of H2

A relational database management system that stores data in columns

DBMS for the Web with a mechanism to push updated query results to applications in realtime.

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Relational DBMS

Document store
Spatial DBMS

Spatial DBMS

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

Score	0.72
Rank	#217	Overall
	#101	Relational DBMS

Score	0.00
Rank	#386	Overall
	#7	Spatial DBMS

Score	1.64
Rank	#137	Overall
	#62	Relational DBMS

Score	2.52
Rank	#105	Overall
	#20	Document stores

Website

www.alibabacloud.com/product/hybriddb-postgresql

www.h2gis.org

www.monetdb.org

rethinkdb.com

yanza.com

Technical documentation

www.alibabacloud.com/help/en/analyticdb-for-postgresql/latest/product-introduction-overview

www.h2gis.org/docs/home

www.monetdb.org/Documentation

rethinkdb.com/docs

Developer

Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group

CNRS

MonetDB BV

The Linux Foundation

since July 2017

Yanza

Initial release

2016

2013

2004

2009

2015

Current release

Dec2023 (11.49), December 2023

2.4.1, August 2020

License

Commercial or Open Source

commercial

Open Source

LGPL 3.0

Open Source

Mozilla Public License 2.0

Open Source

Apache Version 2

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Server operating systems

hosted

FreeBSD
Linux
OS X
Solaris
Windows

Linux
OS X
Windows

Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

string, binary, float, bool, date, geometry

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

yes

SQL 2003 with some extensions

APIs and other access methods

JDBC
ODBC

JDBC
native C library

MAPI library (MonetDB application programming interface)
ODBC

HTTP API

Supported programming languages

C
Java
Perl
Python
R

Java

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

community-supported driver
C#

community-supported driver
C++

community-supported driver
Clojure

community-supported driver
Dart

community-supported driver
Erlang

community-supported driver
Go

community-supported driver
Haskell

community-supported driver
Java

official driver
JavaScript (Node.js)

official driver
Lisp

community-supported driver
Lua

community-supported driver
Objective-C

community-supported driver
Perl

community-supported driver
PHP

community-supported driver
Python

official driver
Ruby

official driver
Scala

community-supported driver

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

based on H2

yes, in SQL, C, R

Triggers

yes

Client-side triggers through changefeeds

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

Sharding via remote tables

Sharding

range based

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

based on H2

none

Source-replica replication available in experimental status

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

Atomic single-document operations

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

MVCC based

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

based on H2

fine grained access rights according to SQL-standard

yes

users and table-level permissions

More information provided by the system vendor

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