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DBMS > BaseX vs. Citus vs. CockroachDB vs. Hazelcast

System Properties Comparison BaseX vs. Citus vs. CockroachDB vs. Hazelcast

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonCitus  Xexclude from comparisonCockroachDB  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionLight-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 PostgreSQLCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A widely adopted in-memory data grid
Primary database modelNative XML DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitebasex.orgwww.citusdata.comwww.cockroachlabs.comhazelcast.com
Technical documentationdocs.basex.orgdocs.citusdata.comwww.cockroachlabs.com/­docshazelcast.org/­imdg/­docs
DeveloperBaseX GmbHCockroach LabsHazelcast
Initial release2007201020152008
Current release10.7, August 20238.1, December 201823.1.1, May 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCGoJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Windows
All OS with a Java VM
Data schemeschema-freeyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes, wire compatible with PostgreSQLSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesActionscript
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
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoEvent Listeners, Executor Services
Triggersyes infovia eventsyesnoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication using RAFTyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDone or two-phase-commit; repeatable reads; read commited
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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardRole-based access controlRole-based access control

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More resources
BaseXCitusCockroachDBHazelcast
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