DBMS > ClickHouse vs. Firebase Realtime Database vs. HBase

System Properties Comparison ClickHouse vs. Firebase Realtime Database vs. HBase

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Editorial information provided by DB-Engines

Name

Description

Column-oriented Relational DBMS powering Yandex

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Wide-column store based on Apache Hadoop and on concepts of BigTable

Primary database model

Relational DBMS

Document store

Wide column store

Secondary database models

Time Series DBMS

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

Score	14.97
Rank	#44	Overall
	#28	Relational DBMS

Score	18.58
Rank	#38	Overall
	#6	Document stores

Score	37.24
Rank	#26	Overall
	#2	Wide column stores

Website

clickhouse.tech

firebase.google.com/products/realtime-database

hbase.apache.org

Technical documentation

clickhouse.tech/docs

firebase.google.com/docs/database

hbase.apache.org

Developer

Clickhouse Inc.

Google

acquired by Google 2014

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Initial release

2016

2012

2008

Current release

v23.4.1.1943-stable, April 2023

2.3.4, January 2021

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

Apache version 2

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

FreeBSD
Linux
macOS

hosted

Linux
Unix
Windows

using Cygwin

Data scheme

yes

schema-free

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

options to bring your own types, AVRO

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, when using the MergeTree engine

yes

SQL

Support of SQL

Close to ANSI SQL

APIs and other access methods

HTTP REST
JDBC
ODBC
Proprietary protocol

Android
iOS
JavaScript API
RESTful HTTP API

Java API
RESTful HTTP API
Thrift

Supported programming languages

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

Java
JavaScript
Objective-C

C
C#
C++
Groovy
Java
PHP
Python
Scala

Server-side scripts

Stored procedures

limited functionality with using 'rules'

yes

Coprocessors in Java

Triggers

Callbacks are triggered when data changes

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency or Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

Single row ACID (across millions of columns)

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 rights for users and roles

yes, based on authentication and database rules

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

More information provided by the system vendor

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources

DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021, Krishna Maheshwari (sponsor)

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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Recent citations in the news

Why You Shouldn't Invest In Vector Databases?
6 June 2023, Medium

Aiven launches managed ClickHouse database as a service
13 December 2022, TechTarget

ClickHouse launches ClickHouse Cloud, extends its Series B
6 December 2022, TechCrunch

Building A Log Analytics Solution 10 Times More Cost-Effective ...
15 May 2023, hackernoon.com

ClickHouse, Inc. and Alibaba Cloud Announce a New Partnership
24 March 2023, Yahoo Finance

provided by Google News

Google’s Firebase gets AI extensions, opens up its marketplace
10 May 2023, TechCrunch

Deploying a Website on Firebase and Using It for Free: A Guide
6 June 2023, hackernoon.com

Top 15 MongoDB Competitors and Alternatives
2 June 2023, Business Strategy Hub

Everything new for developers at Google I/O: Android Studio, Flutter ...
10 May 2023, 9to5Google

Google Announces Advances for Flutter, Android, Web, and ...
10 May 2023, Thurrott.com

provided by Google News

What Is HBase? (Definition, Uses, Benefits, Features)
22 December 2022, Built In

Cloudera: Over 25 Million Terabytes Served
6 June 2023, Datanami

A Comprehensive Comparison of Popular Time-Series Databases
6 June 2023, CityLife

Apache Spark: Fast and General-Purpose Cluster Computing
7 June 2023, CityLife

Key Value Databases Market Size in 2023 To 2029 | AWS, Accumulo, Aerospike, ArangoDB, Azure, BoltDB, Cassandra
17 May 2023, openPR

provided by Google News

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