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DBMS > Firebase Realtime Database vs. IBM Db2 Event Store vs. OrientDB vs. TimesTen vs. Yanza

System Properties Comparison Firebase Realtime Database vs. IBM Db2 Event Store vs. OrientDB vs. TimesTen vs. Yanza

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrientDB  Xexclude from comparisonTimesTen  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesMulti-model DBMS (Document, Graph, Key/Value)In-Memory RDBMS compatible to OracleTime Series DBMS for IoT Applications
Primary database modelDocument storeEvent Store
Time Series DBMS
Document store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storeorientdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.htmlyanza.com
Technical documentationfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storewww.orientdb.com/­docs/­last/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperGoogle infoacquired by Google 2014IBMOrientDB LTD; CallidusCloud; SAPOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Yanza
Initial release20122017201019982015
Current release2.03.2.29, March 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache version 2commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java JDK (>= JDK 6)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Windows
Data schemeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesschema-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.nonononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language, no joinsyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
PL/SQL
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesJava, JavascriptPL/SQLno
TriggersCallbacks are triggered when data changesnoHooksnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standardno

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More resources
Firebase Realtime DatabaseIBM Db2 Event StoreOrientDBTimesTenYanza
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