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DBMS > Kinetica vs. MaxDB vs. Sadas Engine vs. Solr vs. Sphinx

System Properties Comparison Kinetica vs. MaxDB vs. Sadas Engine vs. Solr vs. Sphinx

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonSadas Engine  Xexclude from comparisonSolr  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA robust and reliable RDBMS optimized to run all major SAP solutionsSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA widely used distributed, scalable search engine based on Apache LuceneOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.kinetica.commaxdb.sap.comwww.sadasengine.comsolr.apache.orgsphinxsearch.com
Technical documentationdocs.kinetica.commaxdb.sap.com/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsolr.apache.org/­resources.htmlsphinxsearch.com/­docs
DeveloperKineticaSAP, acquired from Software AG (Adabas-D) in 1997SADAS s.r.l.Apache Software FoundationSphinx Technologies Inc.
Initial release20121984200620062001
Current release7.1, August 20217.9.10.12, February 20248.09.6.1, May 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++JavaC++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingno
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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesSolr Parallel SQL InterfaceSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
JDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP/JSON API
Proprietary protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsyesnoJava pluginsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yes infoGPU vRAM or System RAMnoyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardyesno

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More resources
KineticaMaxDB infoformerly named Adabas-DSadas EngineSolrSphinx
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