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DBMS > DataFS vs. Google Cloud Firestore vs. JaguarDB vs. Splice Machine

System Properties Comparison DataFS vs. Google Cloud Firestore vs. JaguarDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJaguarDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.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.Performant, highly scalable DBMS for AI and IoT applicationsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelObject oriented DBMSDocument storeKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitenewdatabase.comfirebase.google.com/­products/­firestorewww.jaguardb.comsplicemachine.com
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­firestorewww.jaguardb.com/­support.htmlsplicemachine.com/­how-it-works
DeveloperMobiland AGGoogleDataJaguar, Inc.Splice Machine
Initial release2018201720152014
Current release1.1.263, October 20223.3 July 20233.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesJava
Server operating systemsWindowshostedLinuxLinux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes infoJava
Triggersno, except callback-events from server when changes happenedyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud DataflownoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.nonoyes
User concepts infoAccess controlWindows-ProfileAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.rights management via user accountsAccess rights for users, groups and roles according to SQL-standard

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More resources
DataFSGoogle Cloud FirestoreJaguarDBSplice Machine
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