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DBMS > Firebase Realtime Database vs. Hazelcast vs. KairosDB vs. Microsoft Azure SQL Database vs. ObjectBox

System Properties Comparison Firebase Realtime Database vs. Hazelcast vs. KairosDB vs. Microsoft Azure SQL Database vs. ObjectBox

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridDistributed Time Series DBMS based on Cassandra or H2Database as a Service offering with high compatibility to Microsoft SQL ServerLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelDocument storeKey-value storeTime Series DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasehazelcast.comgithub.com/­kairosdb/­kairosdbazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­objectbox
objectbox.io
Technical documentationfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docskairosdb.github.iodocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.io
DeveloperGoogle infoacquired by Google 2014HazelcastMicrosoftObjectBox Limited
Initial release20122008201320102017
Current release5.3.6, November 20231.2.2, November 2018V124.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercialBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++C and C++
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows
hostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, plus "flex" map-like types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes infothe object must implement a serialization strategynoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor ServicesnoTransact SQLno
TriggersCallbacks are triggered when data changesyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor infobased on Cassandrayes, with always 3 replicas availableData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlsimple password-based access controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
Firebase Realtime DatabaseHazelcastKairosDBMicrosoft Azure SQL Database infoformerly SQL AzureObjectBox
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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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
Firebase Realtime DatabaseHazelcastKairosDBMicrosoft Azure SQL Database infoformerly SQL AzureObjectBox
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