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DBMS > Drizzle vs. GBase vs. IBM Db2 warehouse vs. SiteWhere vs. Solr

System Properties Comparison Drizzle vs. GBase vs. IBM Db2 warehouse vs. SiteWhere vs. Solr

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGBase  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  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.Cloud-based data warehousing serviceM2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSSearch engine
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
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.gbase.cnwww.ibm.com/­products/­db2/­warehousegithub.com/­sitewhere/­sitewheresolr.apache.org
Technical documentationsitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.html
DeveloperDrizzle project, originally started by Brian AkerGeneral Data Technology Co., Ltd.IBMSiteWhereApache Software Foundation
Initial release20082004201420102006
Current release7.2.4, September 2012GBase 8a, GBase 8s, GBase 8c9.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonJavaJava
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyespredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.yesno infoImport/export of XML data possiblenoyes
Secondary indexesyesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsStandard with numerous extensionsyesnoSolr Parallel SQL Interface
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
HTTP RESTJava API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
C#Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsPL/SQL, SQL PLJava plugins
Triggersno infohooks for callbacks inside the server can be used.yesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnooptimistic locking
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.yesnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyes

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More resources
DrizzleGBaseIBM Db2 warehouse infoformerly named IBM dashDBSiteWhereSolr
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