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DBMS > HBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. RDF4J vs. STSdb

System Properties Comparison HBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. RDF4J vs. STSdb

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelWide column storeKey-value storeWide column storeRDF storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehbase.apache.orgboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.orggithub.com/­STSSoft/­STSdb4
Technical documentationhbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manualrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetBoiler Bay Inc.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.STS Soft SC
Initial release20082002201220042011
Current release2.3.4, January 20214.04.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC#
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMhostedLinux
OS X
Unix
Windows
Windows
Data schemeschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilitynoyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NET Client API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
C#
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonoyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic lockingACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights based on private key authentication or shared access signaturesnono

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More resources
HBaseInfinityDBMicrosoft Azure Table StorageRDF4J infoformerly known as SesameSTSdb
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