DBMS > Alibaba Cloud HybridDB vs. GBase vs. JanusGraph vs. Postgres-XL vs. PostgreSQL

System Properties Comparison Alibaba Cloud HybridDB vs. GBase vs. JanusGraph vs. Postgres-XL vs. PostgreSQL

Editorial information provided by DB-Engines

Name

GBase seems to be discontinued and will be removed from the DB-Engines ranking

Description

HybridDB is an online MPP (Massively Parallel Processing) data warehousing service based on Greenplum

An analytical database for business intelligence with large customers in China.

A Graph DBMS optimized for distributed clusters info

It was forked from the latest code base of Titan in January 2017

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Widely used open source RDBMS info

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Relational DBMS

Graph DBMS

Relational DBMS

Relational DBMS info

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store

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

Score	0.33
Rank	#234	Overall
	#110	Relational DBMS

Score	1.75
Rank	#118	Overall
	#6	Graph DBMS

Score	0.46
Rank	#210	Overall
	#99	Relational DBMS

Score	503.37
Rank	#4	Overall
	#4	Relational DBMS

Website

www.alibabacloud.com/product/hybriddb-postgresql

www.gbase.cn

janusgraph.org

www.postgres-xl.org

www.postgresql.org

Technical documentation

www.alibabacloud.com/help/doc-detail/35387.htm

docs.janusgraph.org

www.postgres-xl.org/documentation

www.postgresql.org/docs/manuals

Developer

Alibaba / Pivotal Software Inc. / PostgreSQL Global Development Group

Linux Foundation; originally developed as Titan by Aurelius

PostgreSQL Global Development Group info

www.postgresql.org/developer

Initial release

2016

2017

2014

since 2012, originally named StormDB

1989

1989: Postgres, 1996: PostgreSQL

Current release

GBase 8a

0.4.0, July 2019

10 R1, October 2018

12.1, November 2019

License

Commercial or Open Source

commercial

Open Source info

Apache 2.0

Open Source info

Mozilla public license

Open Source info

BSD

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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Implementation language

Java

Server operating systems

hosted

Linux
OS X
Unix
Windows

Linux
macOS

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

XML type, but no XML query functionality

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

distributed, parallel query execution

yes

standard with numerous extensions

APIs and other access methods

JDBC
ODBC

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C
Java
Perl
Python
R

Clojure
Java
Python

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

.Net
C
C++
Delphi
Java info

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts info

Stored procedures

yes

user defined functions

user defined functions info

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

horizontal partitioning

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes

Master-slave replication info

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys info

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts info

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

ACID

MVCC

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

fine grained access rights according to SQL-standard

User authentification and security via Rexster Graph Server

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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