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DBMS > HBase vs. Microsoft Access vs. Realm vs. Sphinx vs. TimesTen

System Properties Comparison HBase vs. Microsoft Access vs. Realm vs. Sphinx vs. TimesTen

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  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.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeRelational DBMSDocument storeSearch engineRelational 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
Score7.71
Rank#52  Overall
#9  Document stores
Score6.03
Rank#60  Overall
#6  Search engines
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitehbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.iosphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationhbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­accessrealm.io/­docssphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20081992201420011998
Current release2.3.4, January 20211902 (16.0.11328.20222), March 20193.5.1, February 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-free, schema definition possibleyesyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesnoyes
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 indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessarynoPL/SQL
Triggersyesyes infosince Access 2010 using the ACE-engineyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
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 loggingACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyes
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 2003yesnofine grained access rights according to SQL-standard

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More resources
HBaseMicrosoft AccessRealmSphinxTimesTen
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