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DBMS > Drizzle vs. SAP SQL Anywhere vs. Solr vs. SQLite

System Properties Comparison Drizzle vs. SAP SQL Anywhere vs. Solr vs. SQLite

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparisonSQLite  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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache LuceneWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.orgwww.sqlite.org
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.htmlwww.sqlite.org/­docs.html
DeveloperDrizzle project, originally started by Brian AkerSAP infoformerly SybaseApache Software FoundationDwayne Richard Hipp
Initial release2008199220062000
Current release7.2.4, September 201217, July 20159.6.0, April 20243.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)server-less
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes infonot rigid because of 'dynamic typing' concept.
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.yesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesSolr Parallel SQL Interfaceyes infoSQL-92 is not fully supported
APIs and other access methodsJDBCADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes, in C/C++, Java, .Net or PerlJava pluginsno
Triggersno infohooks for callbacks inside the server can be used.yesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroringyesnone
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyesno

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More resources
DrizzleSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolrSQLite
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