DBMS > Apache Phoenix vs. ClickHouse vs. Interbase vs. Yanza

System Properties Comparison Apache Phoenix vs. ClickHouse vs. Interbase vs. Yanza

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Editorial information provided by DB-Engines

Name

Description

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

Column-oriented Relational DBMS powering Yandex

Light-weight proven RDBMS

originally from Borland

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

Time Series DBMS

Secondary database models

Time Series DBMS

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

Score	3.01
Rank	#103	Overall
	#52	Relational DBMS

Score	12.32
Rank	#46	Overall
	#30	Relational DBMS

Score	6.74
Rank	#62	Overall
	#37	Relational DBMS

Score	0.00
Rank	#354	Overall
	#33	Time Series DBMS

Website

phoenix.apache.org

clickhouse.tech

www.embarcadero.com/products/interbase

yanza.com

Technical documentation

phoenix.apache.org

clickhouse.tech/docs

docs.embarcadero.com/products/interbase

Developer

Apache Software Foundation

Clickhouse Inc.

Embarcadero

Yanza

Initial release

2014

2016

1984

2015

Current release

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

v22.3.3.44-lts, April 2022

InterBase 2020, December 2019

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

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

Linux
Unix
Windows

FreeBSD
Linux
macOS

Android
iOS
Linux
OS X
Windows

Windows

Data scheme

yes

late-bound, schema-on-read capabilities

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.

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

Close to ANSI SQL

yes

APIs and other access methods

JDBC

HTTP REST
JDBC
ODBC
Proprietary protocol

ADO.NET
JDBC
ODBC

HTTP API

Supported programming languages

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

3rd party library
C++
Elixir

3rd party library
Go

3rd party library
Java

3rd party library
JavaScript (Node.js)

3rd party library
Kotlin

3rd party library
Nim

3rd party library
Perl

3rd party library
PHP

3rd party library
Python

3rd party library
R

3rd party library
Ruby

3rd party library
Scala

3rd party library

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

user defined functions

yes

Interbase procedure and trigger language

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Interbase Change Views

none

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

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

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 for users and roles

fine grained access rights according to SQL-standard

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More resources

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Apache Drill Adds New Data Formats
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20 July 2018, iProgrammer

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