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DBMS > Google Cloud Firestore vs. JanusGraph vs. Kinetica vs. Kingbase

System Properties Comparison Google Cloud Firestore vs. JanusGraph vs. Kinetica vs. Kingbase

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  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.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelDocument storeGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.96
Rank#48  Overall
#8  Document stores
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.45
Rank#265  Overall
#124  Relational DBMS
Websitefirebase.google.com/­products/­firestorejanusgraph.orgwww.kinetica.comwww.kingbase.com.cn
Technical documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.orgdocs.kinetica.com
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusKineticaBeiJing KINGBASE Information technologies inc.
Initial release2017201720121999
Current release0.6.3, February 20237.1, August 2021V8.0, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C and Java
Server operating systemshostedLinux
OS X
Unix
Windows
LinuxLinux
Windows
Data schemeschema-freeyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsStandard with numerous extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functionsuser defined functions
Triggersyes, with Cloud Functionsyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
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.User authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreJanusGraph infosuccessor of TitanKineticaKingbase
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