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DBMS > HBase vs. Microsoft Azure Table Storage vs. Sphinx vs. UniData,UniVerse

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. Sphinx vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databasesMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelWide column storeWide column storeSearch engineMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationhbase.apache.org/­book.htmlsphinxsearch.com/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftSphinx Technologies Inc.Rocket Software
Initial release2008201220011985
Current release2.3.4, January 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnooptional
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 indexesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIProprietary protocolJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonoyes
Triggersyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding 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
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingnoACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 & ABACAccess rights based on private key authentication or shared access signaturesnoAccess rights according to SQL-standard and operating system based

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More resources
HBaseMicrosoft Azure Table StorageSphinxUniData,UniVerse
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