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DBMS > HBase vs. Microsoft Access vs. Microsoft Azure AI Search vs. RDF4J vs. Sphinx

System Properties Comparison HBase vs. Microsoft Access vs. Microsoft Azure AI Search vs. RDF4J vs. Sphinx

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeRelational DBMSSearch engineRDF storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score0.71
Rank#231  Overall
#9  RDF stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitehbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchrdf4j.orgsphinxsearch.com
Technical documentationhbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentationsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.
Initial release20081992201520042001
Current release2.3.4, January 20211902 (16.0.11328.20222), March 2019V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infoBundled with Microsoft OfficecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLshostedLinux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-free, schema definition possibleyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyesno
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 indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnonoSQL-like query language (SphinxQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-enginenoyesno
Triggersyesyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoImplicit feature of the cloud servicenonenone
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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACID infobut no files for transaction loggingnoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationnono

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More resources
HBaseMicrosoft AccessMicrosoft Azure AI SearchRDF4J infoformerly known as SesameSphinx
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