DBMS > Apache Phoenix vs. jBASE vs. PostGIS vs. StarRocks vs. Transbase

System Properties Comparison Apache Phoenix vs. jBASE vs. PostGIS vs. StarRocks vs. Transbase

Editorial information provided by DB-Engines

Name

Description

A scale-out RDBMS with evolutionary schema built on Apache HBase

A robust multi-value DBMS comprising development tools and middleware

Spatial extension of PostgreSQL

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Secondary database models

Relational DBMS

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

Score	2.06
Rank	#123	Overall
	#58	Relational DBMS

Score	1.49
Rank	#156	Overall
	#3	Multivalue DBMS

Score	21.72
Rank	#29	Overall
	#1	Spatial DBMS

Score	0.93
Rank	#198	Overall
	#93	Relational DBMS

Score	0.17
Rank	#334	Overall
	#148	Relational DBMS

Website

phoenix.apache.org

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-jbase

postgis.net

www.starrocks.io

www.transaction.de/en/products/transbase.html

Technical documentation

phoenix.apache.org

docs.rocketsoftware.com/bundle?labelkey=jbase_5.9

postgis.net/documentation

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

www.transaction.de/en/products/transbase/features.html

Developer

Apache Software Foundation

Rocket Software (formerly Zumasys)

The Linux Foundation

since Feb 2023

Transaction Software GmbH

Initial release

2014

1991

2005

2020

1987

Current release

5.0-HBase2, July 2018 and 4.15-HBase1, December 2019

5.7

3.4.2, February 2024

2.5.3, March 2023

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

GPL v2.0

Open Source

Apache Version 2.0

commercial

free development license

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

Java

C++, Java

C and C++

Server operating systems

Linux
Unix
Windows

AIX
Linux
Windows

Linux

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

yes

late-bound, schema-on-read capabilities

schema-free

yes

Typing

predefined data types such as float or date

yes

optional

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

yes

Embedded SQL for jBASE in BASIC

yes

APIs and other access methods

JDBC

JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API

JDBC
MySQL protocol

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C#
C++
Go
Groovy
Java
PHP
Python
Scala

.Net
Basic
Jabbascript
Java

Java

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

user defined functions

yes

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

based on PostgreSQL

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

based on PostgreSQL

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes

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

Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy

Access rights can be defined down to the item level

yes

based on PostgreSQL

Role based access control and fine grained access rights

fine grained access rights according to SQL-standard

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More resources

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Recent citations in the news

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix | Amazon Web Services
2 June 2016, AWS Blog

Bridge the SQL-NoSQL gap with Apache Phoenix
4 February 2016, InfoWorld

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27 March 2017, SDTimes.com

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18 April 2019, eWeek

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25 September 2018, Microsoft

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21 December 2023, Pulse 2.0

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14 February 2023, VentureBeat

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14 February 2023, Datanami

StarRocks launches managed DBaaS for real-time analytics
14 July 2022, InfoWorld

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15 July 2022, The New Stack

provided by Google News

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