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DBMS > EsgynDB vs. HBase vs. Solr vs. SQL.JS vs. Yaacomo

System Properties Comparison EsgynDB vs. HBase vs. Solr vs. SQL.JS vs. Yaacomo

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonSolr  Xexclude from comparisonSQL.JS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableA widely used distributed, scalable search engine based on Apache LucenePort of SQLite to JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSWide column storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.esgyn.cnhbase.apache.orgsolr.apache.orgsql.js.orgyaacomo.com
Technical documentationhbase.apache.org/­book.htmlsolr.apache.org/­resources.htmlsql.js.org/­documentation/­index.html
DeveloperEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationAlon Zakai infoenhancements implemented by othersQ2WEB GmbH
Initial release20152008200620122009
Current release2.3.4, January 20219.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJavaJavaScript
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less, requires a JavaScript environment (browser, Node.js)Android
Linux
Windows
Data schemeyesschema-free, schema definition possibleyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes infosupports customizable data types and automatic typingyesyes
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.nonoyesnono
Secondary indexesyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesnoSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supportedyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP/JSON API
JavaScript APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoCoprocessors in JavaJava pluginsno
Triggersnoyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)optimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesnofine grained access rights according to SQL-standard

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More resources
EsgynDBHBaseSolrSQL.JSYaacomo
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