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DBMS > BaseX vs. EventStoreDB vs. Splice Machine

System Properties Comparison BaseX vs. EventStoreDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Industrial-strength, open-source database solution built from the ground up for event sourcing.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelNative XML DBMSEvent StoreRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitebasex.orgwww.eventstore.comsplicemachine.com
Technical documentationdocs.basex.orgdevelopers.eventstore.comsplicemachine.com/­how-it-works
DeveloperBaseX GmbHEvent Store LimitedSplice Machine
Initial release200720122014
Current release11.0, June 202421.2, February 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes
Secondary indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyes infovia eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users, groups and roles according to SQL-standard

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More resources
BaseXEventStoreDBSplice Machine
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