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DBMS > Apache Phoenix vs. eXtremeDB vs. Firebase Realtime Database vs. PouchDB

System Properties Comparison Apache Phoenix vs. eXtremeDB vs. Firebase Realtime Database vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseNatively in-memory DBMS with options for persistency, high-availability and clusteringCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitephoenix.apache.orgwww.mcobject.comfirebase.google.com/­products/­realtime-databasepouchdb.com
Technical documentationphoenix.apache.orgwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­databasepouchdb.com/­guides
DeveloperApache Software FoundationMcObjectGoogle infoacquired by Google 2014Apache Software Foundation
Initial release2014200120122012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.2, 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaScript
Server operating systemsLinux
Unix
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeschema-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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyesyes infowith the option: eXtremeSQLnono
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
Java
JavaScript
Objective-C
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyeslimited functionality with using 'rules'View functions in JavaScript
Triggersnoyes infoby defining eventsCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
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-tenancyyes, based on authentication and database rulesno
More information provided by the system vendor
Apache PhoenixeXtremeDBFirebase Realtime DatabasePouchDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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Apache PhoenixeXtremeDBFirebase Realtime DatabasePouchDB
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