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DBMS > Drizzle vs. GBase vs. SiteWhere vs. Solr vs. SQL.JS

System Properties Comparison Drizzle vs. GBase vs. SiteWhere vs. Solr vs. SQL.JS

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGBase  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparisonSQL.JS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.M2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache LucenePort of SQLite to JavaScript
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.gbase.cngithub.com/­sitewhere/­sitewheresolr.apache.orgsql.js.org
Technical documentationsitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.htmlsql.js.org/­documentation/­index.html
DeveloperDrizzle project, originally started by Brian AkerGeneral Data Technology Co., Ltd.SiteWhereApache Software FoundationAlon Zakai infoenhancements implemented by others
Initial release20082004201020062012
Current release7.2.4, September 2012GBase 8a, GBase 8s, GBase 8c9.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2Open Source
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++C, Java, PythonJavaJavaJavaScript
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
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)
Data schemeyesyespredefined schemeyes 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 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.yesnoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsStandard with numerous extensionsnoSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
JavaScript API
Supported programming languagesC
C++
Java
PHP
C#.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsJava pluginsno
Triggersno infohooks for callbacks inside the server can be used.yesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infobased on HBaseShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor infobased on HBaseyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesUsers with fine-grained authorization conceptyesno

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DrizzleGBaseSiteWhereSolrSQL.JS
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