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DBMS > BaseX vs. NSDb vs. openGauss vs. Spark SQL

System Properties Comparison BaseX vs. NSDb vs. openGauss vs. Spark SQL

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonNSDb  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitebasex.orgnsdb.iogitee.com/­opengauss
opengauss.org
spark.apache.org/­sql
Technical documentationdocs.basex.orgnsdb.io/­Architecturedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHHuawei and openGauss communityApache Software Foundation
Initial release2007201720192014
Current release11.0, June 20243.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaC, C++, JavaScala
Server operating systemsLinux
OS X
Windows
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes: 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.nonono
Secondary indexesyesall fields are automatically indexedyesno
SQL infoSupport of SQLnoSQL-like query languageANSI SQL 2011SQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
gRPC
HTTP REST
WebSocket
JDBC
ODBC
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Java
Scala
C
C++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyesno
Triggersyes infovia eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing 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 according to SQL-standardno

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More resources
BaseXNSDbopenGaussSpark SQL
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