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DBMS > Apache Phoenix vs. Dgraph vs. Firebase Realtime Database vs. Newts vs. PouchDB

System Properties Comparison Apache Phoenix vs. Dgraph vs. Firebase Realtime Database vs. Newts vs. PouchDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDgraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed and scalable native Graph DBMSCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Time Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSGraph DBMSDocument storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitephoenix.apache.orgdgraph.iofirebase.google.com/­products/­realtime-databaseopennms.github.io/­newtspouchdb.com
Technical documentationphoenix.apache.orgdgraph.io/­docsfirebase.google.com/­docs/­databasegithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperApache Software FoundationDgraph Labs, Inc.Google infoacquired by Google 2014OpenNMS GroupApache Software Foundation
Initial release20142016201220142012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJavaScript
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hostedLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeschema-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 indexesyesyesyesnoyes infovia views
SQL infoSupport of SQLyesnononono
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
JavaScript
Objective-C
JavaJavaScript
Server-side scripts infoStored proceduresuser defined functionsnolimited functionality with using 'rules'noView functions in JavaScript
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via Raftselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
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 infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoPlanned for future releasesyes, based on authentication and database rulesnono

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Apache PhoenixDgraphFirebase Realtime DatabaseNewtsPouchDB
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