DBMS > chDB vs. Firebase Realtime Database vs. Hypertable vs. Transwarp ArgoDB

System Properties Comparison chDB vs. Firebase Realtime Database vs. Hypertable vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.

Description

An embedded SQL OLAP Engine powered by ClickHouse

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

An open source BigTable implementation based on distributed file systems such as Hadoop

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Secondary database models

Time Series DBMS

Search engine

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

Score	0.05
Rank	#358	Overall
	#152	Relational DBMS

Score	13.60
Rank	#39	Overall
	#6	Document stores

Score	0.04
Rank	#361	Overall
	#153	Relational DBMS

Website

github.com/chdb-io/chdb

firebase.google.com/products/realtime-database

www.transwarp.cn/en/product/argodb

Technical documentation

doc.chdb.io

firebase.google.com/docs/database

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Google

acquired by Google 2014

Hypertable Inc.

Transwarp

Initial release

2023

2012

2009

Current release

0.9.8.11, March 2016

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Open Source

GNU version 3. Commercial license available

commercial

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++

Server operating systems

server-less

hosted

Linux
OS X
Windows

an inofficial Windows port is available

Data scheme

schema-free

yes

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.

Secondary indexes

yes

restricted

only exact value or prefix value scans

yes

SQL

Support of SQL

Close to ANSI SQL (SQL/JSON + extensions)

yes

APIs and other access methods

Android
iOS
JavaScript API
RESTful HTTP API

C++ API
Thrift

Supported programming languages

Bun
C
C++
Go
JavaScript (Node.js)
Python
Rust

Java
JavaScript
Objective-C

C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Triggers

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor on file system level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

User concepts

Access control

yes, based on authentication and database rules

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More resources

DB-Engines blog posts

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