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DBMS > BaseX vs. Faircom EDGE vs. Hazelcast vs. MarkLogic

System Properties Comparison BaseX vs. Faircom EDGE vs. Hazelcast vs. MarkLogic

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHazelcast  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA widely adopted in-memory data gridOperational and transactional Enterprise NoSQL database
Primary database modelNative XML DBMSKey-value store
Relational DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument 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
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitebasex.orgwww.faircom.com/­products/­faircom-edgehazelcast.comwww.marklogic.com
Technical documentationdocs.basex.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdocs.marklogic.com
DeveloperBaseX GmbHFairCom CorporationHazelcastMarkLogic Corp.
Initial release2007197920082001
Current release10.7, August 2023V3, October 20205.3.6, November 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++JavaC++
Server operating systemsLinux
OS X
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes, ANSI Standard SQL 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.yesyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL-like query languageyes infoSQL92
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor Servicesyes infovia XQuery or JavaScript
Triggersyes infovia eventsyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated Mapyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDone or two-phase-commit; repeatable reads; read commitedACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesyes, with Range Indexes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlRole-based access control at the document and subdocument levels

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More resources
BaseXFaircom EDGE infoformerly c-treeEDGEHazelcastMarkLogic
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