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DBMS > HBase vs. Machbase Neo vs. Spark SQL vs. Sphinx vs. Valentina Server

System Properties Comparison HBase vs. Machbase Neo vs. Spark SQL vs. Sphinx vs. Valentina Server

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSpark SQL  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableTimeSeries DBMS for AIoT and BigDataSpark SQL is a component on top of 'Spark Core' for structured data processingOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelWide column storeTime Series DBMSRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitehbase.apache.orgmachbase.comspark.apache.org/­sqlsphinxsearch.comwww.valentina-db.net
Technical documentationhbase.apache.org/­book.htmlmachbase.com/­dbmsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMachbaseApache Software FoundationSphinx Technologies Inc.Paradigma Software
Initial release20082013201420011999
Current release2.3.4, January 2021V8.0, August 20233.5.0 ( 2.13), September 20233.5.1, February 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree test version availableOpen Source infoApache 2.0Open 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 languageJavaCScalaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
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, 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 indexesnoyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
Proprietary protocolODBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark CoreSharding 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
selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes 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.yesyes infovolatile and lookup tablenoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access controlnonofine grained access rights according to SQL-standard

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More resources
HBaseMachbase Neo infoFormer name was InfinifluxSpark SQLSphinxValentina Server
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