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DBMS > Firebase Realtime Database vs. Hazelcast vs. Hive vs. NuoDB vs. Riak KV

System Properties Comparison Firebase Realtime Database vs. Hazelcast vs. Hive vs. NuoDB vs. Riak KV

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonHive  Xexclude from comparisonNuoDB  Xexclude from comparisonRiak KV  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 griddata warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, fault tolerant key-value store
Primary database modelDocument storeKey-value storeRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasehazelcast.comhive.apache.orgwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogle infoacquired by Google 2014HazelcastApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.OpenSource, formerly Basho Technologies
Initial release20122008201220132009
Current release5.3.6, November 20233.1.3, April 20223.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Erlang
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 strategynono
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infouser defined functions and integration of map-reduceJava, SQLErlang
TriggersCallbacks are triggered when data changesyes infoEventsnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factoryes infoManaged transparently by NuoDBselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenoyes
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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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.yesyes infoTemporary table
User concepts infoAccess controlyes, based on authentication and database rulesRole-based access controlAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Usersyes, using Riak Security

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More resources
Firebase Realtime DatabaseHazelcastHiveNuoDBRiak KV
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