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DBMS > EsgynDB vs. Rockset vs. Solr vs. Yaacomo vs. Yanza

System Properties Comparison EsgynDB vs. Rockset vs. Solr vs. Yaacomo vs. Yanza

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparisonYanza  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines rankingYanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computingTime Series DBMS for IoT Applications
Primary database modelRelational DBMSDocument storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cnrockset.comsolr.apache.orgyaacomo.comyanza.com
Technical documentationdocs.rockset.comsolr.apache.org/­resources.html
DeveloperEsgynRocksetApache Software FoundationQ2WEB GmbHYanza
Initial release20152019200620092015
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++Java
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Linux
Windows
Windows
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyes infosupports customizable data types and automatic typingyesno
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 infoingestion from XML files supportedyesnono
Secondary indexesyesall fields are automatically indexedyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsSolr Parallel SQL Interfaceyesno
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresJava Stored ProceduresnoJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleyesfine grained access rights according to SQL-standardno

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More resources
EsgynDBRocksetSolrYaacomoYanza
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