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DBMS > Apache Phoenix vs. EventStoreDB vs. Firebase Realtime Database vs. Ingres vs. Yanza

System Properties Comparison Apache Phoenix vs. EventStoreDB vs. Firebase Realtime Database vs. Ingres vs. Yanza

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIngres  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseIndustrial-strength, open-source database solution built from the ground up for event sourcing.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Well established RDBMSTime Series DBMS for IoT Applications
Primary database modelRelational DBMSEvent StoreDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score14.29
Rank#39  Overall
#6  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitephoenix.apache.orgwww.eventstore.comfirebase.google.com/­products/­realtime-databasewww.actian.com/­databases/­ingresyanza.com
Technical documentationphoenix.apache.orgdevelopers.eventstore.comfirebase.google.com/­docs/­databasedocs.actian.com/­ingres
DeveloperApache Software FoundationEvent Store LimitedGoogle infoacquired by Google 2014Actian CorporationYanza
Initial release2014201220121974 infooriginally developed at University Berkely in early 1970s2015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201921.2, February 202111.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono 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 languageJavaC
Server operating systemsLinux
Unix
Windows
Linux
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript
Objective-C
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yesno
TriggersnoCallbacks are triggered when data changesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes, based on authentication and database rulesfine grained access rights according to SQL-standardno

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More resources
Apache PhoenixEventStoreDBFirebase Realtime DatabaseIngresYanza
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