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DBMS > Google Cloud Firestore vs. Splice Machine vs. TerminusDB vs. ToroDB vs. VelocityDB

System Properties Comparison Google Cloud Firestore vs. Splice Machine vs. TerminusDB vs. ToroDB vs. VelocityDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonToroDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud 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 SparkScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA MongoDB-compatible JSON document store, built on top of PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeRelational DBMSGraph DBMSDocument storeGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitefirebase.google.com/­products/­firestoresplicemachine.comterminusdb.comgithub.com/­torodb/­servervelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestoresplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperGoogleSplice MachineDataChemist Ltd.8KdataVelocityDB Inc
Initial release20172014201820162011
Current release3.1, March 202111.0.0, January 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3Open Source infoAGPL-V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaProlog, RustJavaC#
Server operating systemshostedLinux
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VMAny that supports .NET
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_idyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (WOQL)no
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoJavayesno
Triggersyes, with Cloud FunctionsyesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningGraph PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Journaling StreamsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflowYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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-standardRole-based access controlAccess rights for users and rolesBased on Windows Authentication

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More resources
Google Cloud FirestoreSplice MachineTerminusDB infoformer name was DataChemistToroDBVelocityDB
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