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

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

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonInterbase  Xexclude from comparisonSplice Machine  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  Xexclude from comparison
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.Light-weight proven RDBMS infooriginally from BorlandOpen-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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMSGraph 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
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/­firestorewww.embarcadero.com/­products/­interbasesplicemachine.comterminusdb.comvelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestoredocs.embarcadero.com/­products/­interbasesplicemachine.com/­how-it-worksterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperGoogleEmbarcaderoSplice MachineDataChemist Ltd.VelocityDB Inc
Initial release20171984201420182011
Current releaseInterBase 2020, December 20193.1, March 202111.0.0, January 20237.x
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaProlog, RustC#
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxAny that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoexport as XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (WOQL)no
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
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
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Python
.Net
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infoInterbase procedure and trigger languageyes infoJavayesno
Triggersyes, with Cloud FunctionsyesyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar PartitioningGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInterbase Change ViewsMulti-source replication
Source-replica replication
Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud DataflownoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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.fine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
Google Cloud FirestoreInterbaseSplice MachineTerminusDB infoformer name was DataChemistVelocityDB
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