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DBMS > HBase vs. MarkLogic vs. NSDb vs. Postgres-XL

System Properties Comparison HBase vs. MarkLogic vs. NSDb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableOperational and transactional Enterprise NoSQL databaseScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitehbase.apache.orgwww.marklogic.comnsdb.iowww.postgres-xl.org
Technical documentationhbase.apache.org/­book.htmldocs.marklogic.comnsdb.io/­Architecturewww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.
Initial release2008200120172014 infosince 2012, originally named StormDB
Current release2.3.4, January 202111.0, December 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, ScalaC
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
macOS
Linux
macOS
Data schemeschema-free, schema definition possibleschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes: int, bigint, decimal, stringyes
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.noyesnoyes infoXML type, but no XML query functionality
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infoSQL92SQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJava API
RESTful HTTP API
Thrift
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
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infovia XQuery or JavaScriptnouser defined functions
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infocan act as a resource manager in an XA/JTA transactionnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
HBaseMarkLogicNSDbPostgres-XL
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