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DBMS > EJDB vs. Google Cloud Firestore vs. Splice Machine vs. Valentina Server

System Properties Comparison EJDB vs. Google Cloud Firestore vs. Splice Machine vs. Valentina Server

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSplice Machine  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkObject-relational database and reports server
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestoresplicemachine.comwww.valentina-db.net
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestoresplicemachine.com/­how-it-worksvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSoftmotionsGoogleSplice MachineParadigma Software
Initial release2012201720141999
Current release3.1, March 20215.7.5
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsserver-lesshostedLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsin-process shared libraryAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes infoJavayes
Triggersnoyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud DataflowYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
EJDBGoogle Cloud FirestoreSplice MachineValentina Server
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