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DBMS > Firebase Realtime Database vs. Google Cloud Datastore vs. Hazelcast vs. KairosDB vs. ObjectBox

System Properties Comparison Firebase Realtime Database vs. Google Cloud Datastore vs. Hazelcast vs. KairosDB vs. ObjectBox

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHazelcast  Xexclude from comparisonKairosDB  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA widely adopted in-memory data gridDistributed Time Series DBMS based on Cassandra or H2Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument storeDocument storeKey-value storeTime Series DBMSObject oriented 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
Score13.64
Rank#39  Overall
#6  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­datastorehazelcast.comgithub.com/­kairosdb/­kairosdbobjectbox.io
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docshazelcast.org/­imdg/­docskairosdb.github.iodocs.objectbox.io
DeveloperGoogle infoacquired by Google 2014GoogleHazelcastObjectBox Limited
Initial release20122008200820132017
Current release5.3.6, November 20231.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLnoSQL-like query language (GQL)SQL-like query languagenono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
Graphite protocol
HTTP REST
Telnet API
Proprietary native API
Supported programming languagesJava
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored procedureslimited functionality with using 'rules'using Google App Engineyes infoEvent Listeners, Executor Servicesnono
TriggersCallbacks are triggered when data changesCallbacks using the Google Apps Engineyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoReplicated Mapselectable replication factor infobased on Cassandraonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesnono
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 depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.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 integritynoyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsone or two-phase-commit; repeatable reads; read commitednoACID
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.noyesnono
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access controlsimple password-based access controlyes
More information provided by the system vendor
Firebase Realtime DatabaseGoogle Cloud DatastoreHazelcastKairosDBObjectBox
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More resources
Firebase Realtime DatabaseGoogle Cloud DatastoreHazelcastKairosDBObjectBox
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