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DBMS > HBase vs. PlanetScale vs. RDF4J vs. Sadas Engine

System Properties Comparison HBase vs. PlanetScale vs. RDF4J vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonPlanetScale  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 BigTableScalable, distributed, serverless MySQL database platform built on top of VitessRDF4J 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 storeRelational DBMSRDF storeRelational 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
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitehbase.apache.orgplanetscale.comrdf4j.orgwww.sadasengine.com
Technical documentationhbase.apache.org/­book.htmlplanetscale.com/­docsrdf4j.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetPlanetScaleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SADAS s.r.l.
Initial release2008202020042006
Current release2.3.4, January 20218.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Docker
Linux
macOS
Linux
OS X
Unix
Windows
AIX
Linux
Windows
Data schemeschema-free, schema definition possibleyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoproprietary syntaxyesno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID at shard levelACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HBasePlanetScaleRDF4J infoformerly known as SesameSadas Engine
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