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DBMS > Firebase Realtime Database vs. Greenplum vs. Hazelcast vs. JanusGraph

System Properties Comparison Firebase Realtime Database vs. Greenplum vs. Hazelcast vs. JanusGraph

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGreenplum  Xexclude from comparisonHazelcast  Xexclude from comparisonJanusGraph infosuccessor of Titan  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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely adopted in-memory data gridA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument storeRelational DBMSKey-value storeGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Document 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitefirebase.google.com/­products/­realtime-databasegreenplum.orghazelcast.comjanusgraph.org
Technical documentationfirebase.google.com/­docs/­databasedocs.greenplum.orghazelcast.org/­imdg/­docsdocs.janusgraph.org
DeveloperGoogle infoacquired by Google 2014Pivotal Software Inc.HazelcastLinux Foundation; originally developed as Titan by Aurelius
Initial release2012200520082017
Current release7.0.0, September 20235.3.6, November 20230.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedLinuxAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosince Version 4.2yes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesJava
JavaScript
Objective-C
C
Java
Perl
Python
R
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Clojure
Java
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyes infoEvent Listeners, Executor Servicesyes
TriggersCallbacks are triggered when data changesyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardRole-based access controlUser authentification and security via Rexster Graph Server

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More resources
Firebase Realtime DatabaseGreenplumHazelcastJanusGraph infosuccessor of Titan
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