DBMS > Axibase vs. Firebase Realtime Database vs. ObjectBox vs. Yanza

System Properties Comparison Axibase vs. Firebase Realtime Database vs. ObjectBox vs. Yanza

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Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization

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

Extremely fast embedded database for small devices, IoT and Mobile

Time Series DBMS for IoT Applications

Primary database model

Secondary database models

Time Series DBMS

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

Score	0.30
Rank	#261	Overall
	#20	Time Series DBMS

Score	16.95
Rank	#36	Overall
	#5	Document stores

Score	0.75
Rank	#194	Overall
	#10	Object oriented DBMS

Score	0.00
Rank	#341	Overall
	#31	Time Series DBMS

Website

axibase.com/products/axibase-time-series-database

firebase.google.com/products/realtime-database

objectbox.io

yanza.com

Technical documentation

github.com/axibase/atsd

firebase.google.com/docs/database

docs.objectbox.io

Developer

Axibase Corporation

Google

acquired by Google 2014

ObjectBox Limited

Yanza

Initial release

2013

2012

2017

2015

Current release

15585

License

Commercial or Open Source

commercial

Community Edition (single node) is free, Enterprise Edition (distributed) is paid

commercial

Open Source

Apache License 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

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 and C++

Server operating systems

Linux

hosted

Android
iOS
Linux
macOS
Windows

Windows

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

short, integer, long, float, double, decimal, string

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

JDBC
Proprietary protocol (Network API)
RESTful HTTP API

Android
iOS
JavaScript API
RESTful HTTP API

Proprietary native API

HTTP API

Supported programming languages

Go
Java
PHP
Python
R
Ruby

Java
JavaScript
Objective-C

C
C++
Dart
Go
Java
JavaScript

planned (as of Jan 2019)
Kotlin
Python

planned (as of Jan 2019)
Swift

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

limited functionality with using 'rules'

Triggers

yes

Callbacks are triggered when data changes

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

Source-replica replication

online/offline synchronization between client and server

none

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

yes

Transaction concepts

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

yes

ACID

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.

User concepts

Access control

yes, based on authentication and database rules

yes

More information provided by the system vendor

News

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3 February 2021

Firebase, Firebase alternatives – a look at data sync solutions
3 February 2021

ObjectBox Dart/Flutter v0.11 Database: Performance & Relations
2 February 2021

What is Data Synchronization + How to Keep Data in Sync
29 January 2021

Three small things to do some good for startups
17 December 2020

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

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More resources

DB-Engines blog posts

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

show all

Recent citations in the news

Time Series Intelligence Software Market Projected to Witness Vigorous Expansion by Key Players like Warp 10, Anodot, Shapelets, AxiBase Enterprise Reporter (AER), SensorMesh, TrendMiner – KSU | The Sentinel Newspaper
2 March 2021, KSU | The Sentinel Newspaper

Cloud-Based Time Series Database Market SWOT Analysis, By Top Players- Alibaba Amazon (AWS) AVEVA Axibase BangDB Circonus Cortex Crate DataStax Dell (VMware) Fauna First Derivatives (Kx Systems) Google IBM InfluxData McObject Microsoft QuasarDB QuestDB Riak SenX Timescale Trendalyze
2 March 2021, The Bisouv Network

Time Series Intelligence Software Market 2021 Global Demand and Emerging Trends by 2027 – Anodot, Axibase, Datapred SA, Google, Microsoft, Seeq, SenX , Shapelets, Software AG, Trendalyze – KSU | The Sentinel Newspaper
16 February 2021, KSU | The Sentinel Newspaper

Time Series Intelligence Software Market to Witness Huge Growth by 2028 | Anodot Ltd.(United States), Axibase Corporation (United States)
22 February 2021, NeighborWebSJ

Global Time Series Intelligence Software Market : Azure Time Series Insights, Trendalyze, Anodot, Seeq, SensorMesh, Warp 10, AxiBase Enterprise Reporter (AER), Shapelets, TrendMiner, Datapred , etc.
28 February 2021, The Bisouv Network

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2 March 2021, Express Keeper

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