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DBMS > Google Cloud Firestore vs. JanusGraph vs. Kdb vs. NSDb

System Properties Comparison Google Cloud Firestore vs. JanusGraph vs. Kdb vs. NSDb

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKdb  Xexclude from comparisonNSDb  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 2017High performance Time Series DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument storeGraph DBMSTime Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.53
Rank#54  Overall
#9  Document stores
Score1.78
Rank#131  Overall
#12  Graph DBMS
Score7.06
Rank#48  Overall
#2  Time Series DBMS
#2  Vector DBMS
Score0.00
Rank#386  Overall
#41  Time Series DBMS
Websitefirebase.google.com/­products/­firestorejanusgraph.orgkx.comnsdb.io
Technical documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.orgcode.kx.comnsdb.io/­Architecture
DeveloperGoogleLinux Foundation; originally developed as Titan by AureliusKx Systems, a division of First Derivatives plc
Initial release201720172000 infokdb was released 2000, kdb+ in 20032017
Current release1.0.0, October 20233.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqJava, Scala
Server operating systemshostedLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.nonoyesno
Secondary indexesyesyesyes infotable attribute 'grouped'all fields are automatically indexed
SQL infoSupport of SQLnonoSQL-like query language (q)SQL-like query language
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
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Java
Scala
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functionsno
Triggersyes, with Cloud Functionsyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes infovia Faunus, a graph analytics engineno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 Serverrights management via user accounts
More information provided by the system vendor
Google Cloud FirestoreJanusGraph infosuccessor of TitanKdbNSDb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
Google Cloud FirestoreJanusGraph infosuccessor of TitanKdbNSDb
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