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DBMS > BaseX vs. Google Cloud Firestore vs. NSDb vs. Spark SQL vs. Transbase

System Properties Comparison BaseX vs. Google Cloud Firestore vs. NSDb vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelNative XML DBMSDocument storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score8.96
Rank#48  Overall
#8  Document stores
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitebasex.orgfirebase.google.com/­products/­firestorensdb.iospark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.basex.orgfirebase.google.com/­docs/­firestorensdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBaseX GmbHGoogleApache Software FoundationTransaction Software GmbH
Initial release20072017201720141987
Current release10.7, August 20233.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaScalaC and C++
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes: int, bigint, decimal, stringyesyes
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 indexesyesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud Functionsnonoyes
Triggersyes infovia eventsyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writeryesnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nofine grained access rights according to SQL-standard

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More resources
BaseXGoogle Cloud FirestoreNSDbSpark SQLTransbase
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