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DBMS > BaseX vs. Blueflood vs. HarperDB vs. Splice Machine

System Properties Comparison BaseX vs. Blueflood vs. HarperDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonBlueflood  Xexclude from comparisonHarperDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable TimeSeries DBMS based on CassandraUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelNative XML DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitebasex.orgblueflood.iowww.harperdb.iosplicemachine.com
Technical documentationdocs.basex.orggithub.com/­rax-maas/­blueflood/­wikidocs.harperdb.io/­docssplicemachine.com/­how-it-works
DeveloperBaseX GmbHRackspaceHarperDBSplice Machine
Initial release2007201320172014
Current release11.0, June 20243.1, August 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaNode.jsJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freepredefined schemedynamic schemayes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes infoJSON data 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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoSQL-like data manipulation statementsyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
HTTP RESTJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1yes infoJava
Triggersyes infovia eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraA table resides as a whole on one (or more) nodes in a clusterShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsnoAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
BaseXBluefloodHarperDBSplice Machine
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