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DBMS > BaseX vs. Databricks vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison BaseX vs. Databricks vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Spark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelNative XML DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websitebasex.orgwww.databricks.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationdocs.basex.orgdocs.databricks.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHDatabricksApache Software FoundationTranswarp
Initial release200720132014
Current release11.0, June 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes
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.yesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnowith Databricks SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes
Triggersyes infovia eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 levelsnoyes
More information provided by the system vendor
BaseXDatabricksSpark SQLTranswarp KunDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BaseXDatabricksSpark SQLTranswarp KunDB
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