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DBMS > HBase vs. MarkLogic vs. NSDb vs. RDF4J vs. Sadas Engine

System Properties Comparison HBase vs. MarkLogic vs. NSDb vs. RDF4J vs. Sadas Engine

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonNSDb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSadas Engine  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 KubernetesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelWide column storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRDF storeRelational 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
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitehbase.apache.orgwww.marklogic.comnsdb.iordf4j.orgwww.sadasengine.com
Technical documentationhbase.apache.org/­book.htmldocs.marklogic.comnsdb.io/­Architecturerdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.
Initial release20082001201720042006
Current release2.3.4, January 202111.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, ScalaJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeschema-free, schema definition possibleschema-free infoSchema can be enforcedyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes: int, bigint, decimal, stringyesyes
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.noyesnono
Secondary indexesnoyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoyes infoSQL92SQL-like query languagenoyes
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Scala
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infovia XQuery or JavaScriptnoyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
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 infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole-based access control at the document and subdocument levelsnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HBaseMarkLogicNSDbRDF4J infoformerly known as SesameSadas Engine
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