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DBMS > Hypertable vs. MarkLogic vs. Netezza vs. Percona Server for MongoDB

System Properties Comparison Hypertable vs. MarkLogic vs. Netezza vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.marklogic.comwww.ibm.com/­products/­netezzawww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.marklogic.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperHypertable Inc.MarkLogic Corp.IBMPercona
Initial release2009200120002015
Current release0.9.8.11, March 201611.0, December 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial inforestricted free version is availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Linux infoincluded in applianceLinux
Data schemeschema-freeschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.yesno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLnoyes infoSQL92yesno
APIs and other access methodsC++ 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
JDBC
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptyesJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDno
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.yes, with Range Indexesyes infovia In-Memory Engine
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptAccess rights for users and roles

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More resources
HypertableMarkLogicNetezza infoAlso called PureData System for Analytics by IBMPercona Server for MongoDB
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