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DBMS > EJDB vs. Firebase Realtime Database vs. Prometheus vs. Quasardb vs. Splice Machine

System Properties Comparison EJDB vs. Firebase Realtime Database vs. Prometheus vs. Quasardb vs. Splice Machine

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparison
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.Open-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument storeTime Series DBMSTime Series DBMSRelational DBMS
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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­realtime-databaseprometheus.ioquasar.aisplicemachine.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­databaseprometheus.io/­docsdoc.quasar.ai/­mastersplicemachine.com/­how-it-works
DeveloperSoftmotionsGoogle infoacquired by Google 2014quasardbSplice Machine
Initial release20122012201520092014
Current release3.14.1, January 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license available
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++Java
Server operating systemsserver-lesshostedLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesNumeric data onlyyes infointeger and binaryyes
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 infoImport of XML data possibleno
Secondary indexesnoyesnoyes infowith tagsyes
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsin-process shared libraryAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON APIHTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
JavaScript
Objective-C
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'nonoyes infoJava
TriggersnoCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoby FederationSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
EJDBFirebase Realtime DatabasePrometheusQuasardbSplice Machine
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