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DBMS > EJDB vs. Firebase Realtime Database vs. InterSystems Caché vs. Prometheus vs. Quasardb

System Properties Comparison EJDB vs. Firebase Realtime Database vs. InterSystems Caché vs. Prometheus vs. Quasardb

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A multi-model DBMS and application serverOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries database
Primary database modelDocument storeDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cacheprometheus.ioquasar.ai
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­databasedocs.intersystems.comprometheus.io/­docsdoc.quasar.ai/­master
DeveloperSoftmotionsGoogle infoacquired by Google 2014InterSystemsquasardb
Initial release20122012199720152009
Current release2018.1.4, May 20203.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++
Server operating systemsserver-lesshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesNumeric data onlyyes infointeger and binary
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.noyesno infoImport of XML data possibleno
Secondary indexesnoyesyesnoyes infowith tags
SQL infoSupport of SQLnonoyesnoSQL-like query language
APIs and other access methodsin-process shared libraryAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
JavaScript
Objective-C
C#
C++
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesnono
TriggersnoCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby FederationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlnoyes, based on authentication and database rulesAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail

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More resources
EJDBFirebase Realtime DatabaseInterSystems CachéPrometheusQuasardb
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