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DBMS > AgensGraph vs. BaseX vs. Citus vs. Databricks

System Properties Comparison AgensGraph vs. BaseX vs. Citus vs. Databricks

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBaseX  Xexclude from comparisonCitus  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLThe 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.
Primary database modelGraph DBMS
Relational DBMS
Native XML DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websitebitnine.net/­agensgraphbasex.orgwww.citusdata.comwww.databricks.com
Technical documentationbitnine.net/­documentationdocs.basex.orgdocs.citusdata.comdocs.databricks.com
DeveloperBitnine Global Inc.BaseX GmbHDatabricks
Initial release2016200720102013
Current release2.1, December 201811.2, August 20248.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD licenseOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linuxhosted
Data schemedepending on used data modelschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes
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.noyes infospecific XML type available, but no XML query functionalityyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infostandard, with numerous extensionswith Databricks SQL
APIs and other access methodsCypher Query Language
JDBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
R
Scala
Server-side scripts infoStored proceduresyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions and aggregates
Triggersnoyes infovia eventsyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standard
More information provided by the system vendor
AgensGraphBaseXCitusDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AgensGraphBaseXCitusDatabricks
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