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

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

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparisonTimesTen  Xexclude from comparisonWakandaDB  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.)Open source search engine for searching in data from different sources, e.g. relational databasesIn-Memory RDBMS compatible to OracleWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeRelational DBMSSearch engineRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.60
Rank#26  Overall
#2  Wide column stores
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Score1.59
Rank#157  Overall
#72  Relational DBMS
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Websitehbase.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwakanda.github.io
Technical documentationhbase.apache.org/­book.htmldeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docsdocs.oracle.com/­database/­timesten-18.1wakanda.github.io/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSphinx Technologies Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Wakanda SAS
Initial release20081992200119982012
Current release2.3.4, January 20211902 (16.0.11328.20222), March 20193.5.1, February 202311 Release 2 (11.2.2.8.0)2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++, JavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-free, schema definition possibleyesyesyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnoyesyes
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 indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)yesno
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)
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Java
PL/SQL
JavaScript
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infosince Access 2010 using the ACE-enginenoPL/SQLyes
Triggersyesyes infosince Access 2010 using the ACE-enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenoneMulti-source replication
Source-replica replication
none
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 or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 loggingnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.yes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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 2003nofine grained access rights according to SQL-standardyes

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More resources
HBaseMicrosoft AccessSphinxTimesTenWakandaDB
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