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DBMS > Firebase Realtime Database vs. Geode vs. Heroic vs. Splice Machine vs. TimesTen

System Properties Comparison Firebase Realtime Database vs. Geode vs. Heroic vs. Splice Machine vs. TimesTen

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeKey-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegeode.apache.orggithub.com/­spotify/­heroicsplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfirebase.google.com/­docs/­databasegeode.apache.org/­docsspotify.github.io/­heroicsplicemachine.com/­how-it-worksdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogle infoacquired by Google 2014Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifySplice MachineOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122002201420141998
Current release1.1, February 20173.1, March 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesnoyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyesyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
Native Spark Datasource
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJava
JavaScript
Objective-C
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsnoyes infoJavaPL/SQL
TriggersCallbacks are triggered when data changesyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights per client and object definableAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGeodeHeroicSplice MachineTimesTen
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