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DBMS > Machbase vs. Solr vs. Yaacomo

System Properties Comparison Machbase vs. Solr vs. Yaacomo

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Editorial information provided by DB-Engines
NameMachbase infoFormer name was Infiniflux  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataA widely used distributed, scalable search engine based on Apache LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#305  Overall
#24  Time Series DBMS
Score47.28
Rank#24  Overall
#3  Search engines
Score0.00
Rank#389  Overall
#160  Relational DBMS
Websitewww.machbase.comlucene.apache.org/­solryaacomo.com
Technical documentationmachbase.atlassian.net/­wiki/­spaces/­MAN/­overviewlucene.apache.org/­solr/­resources.html
DeveloperMachbaseApache Software FoundationQ2WEB GmbH
Initial release201320062009
Current releaseV6.5, August 20219.1.1, January 2023
License infoCommercial or Open Sourcecommercial infofree test version availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Linux
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes
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.noyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava plugins
Triggersnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyesyes
User concepts infoAccess controlsimple password-based access controlyesfine grained access rights according to SQL-standard

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More resources
Machbase infoFormer name was InfinifluxSolrYaacomo
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