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DBMS > Apache Phoenix vs. Ehcache vs. Firebase Realtime Database vs. GridDB

System Properties Comparison Apache Phoenix vs. Ehcache vs. Firebase Realtime Database vs. GridDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEhcache  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGridDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted Java cache with tiered storage optionsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable in-memory time series database optimized for IoT and Big Data
Primary database modelRelational DBMSKey-value storeDocument storeTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score4.79
Rank#66  Overall
#8  Key-value stores
Score13.60
Rank#39  Overall
#6  Document stores
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Websitephoenix.apache.orgwww.ehcache.orgfirebase.google.com/­products/­realtime-databasegriddb.net
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationfirebase.google.com/­docs/­databasedocs.griddb.net
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGGoogle infoacquired by Google 2014Toshiba Corporation
Initial release2014200920122013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 20225.1, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMhostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infonumerical, string, blob, geometry, boolean, timestamp
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 indexesyesnoyesyes
SQL infoSupport of SQLyesnonoSQL92, SQL-like TQL (Toshiba Query Language)
APIs and other access methodsJDBCJCacheAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaJava
JavaScript
Objective-C
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnolimited functionality with using 'rules'no
Triggersnoyes infoCache Event ListenersCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceyesACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoyes, based on authentication and database rulesAccess rights for users can be defined per database

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Apache PhoenixEhcacheFirebase Realtime DatabaseGridDB
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