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DBMS > FeatureBase vs. Firebase Realtime Database vs. Hazelcast vs. KairosDB vs. ObjectBox

System Properties Comparison FeatureBase vs. Firebase Realtime Database vs. Hazelcast vs. KairosDB vs. ObjectBox

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonKairosDB  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-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 H2Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSDocument storeKey-value storeTime Series DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#296  Overall
#134  Relational DBMS
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
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitewww.featurebase.comfirebase.google.com/­products/­realtime-databasehazelcast.comgithub.com/­kairosdb/­kairosdbgithub.com/­objectbox
objectbox.io
Technical documentationdocs.featurebase.comfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docskairosdb.github.iodocs.objectbox.io
DeveloperMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014HazelcastObjectBox Limited
Initial release20172012200820132017
Current release2022, May 20225.3.6, November 20231.2.2, November 20184.0 (May 2024)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaC and C++
Server operating systemsLinux
macOS
hostedAll OS with a Java VMLinux
OS X
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
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.nonoyes infothe object must implement a serialization strategynono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL queriesnoSQL-like query languagenono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Proprietary native API
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesnono
TriggersnoCallbacks are triggered when data changesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapselectable replication factor infobased on CassandraData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlsimple password-based access controlyes
More information provided by the system vendor
FeatureBaseFirebase Realtime DatabaseHazelcastKairosDBObjectBox
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18 June 2024

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29 May 2024

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More resources
FeatureBaseFirebase Realtime DatabaseHazelcastKairosDBObjectBox
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