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DBMS > Drizzle vs. Lovefield vs. Microsoft SQL Server vs. Solr

System Properties Comparison Drizzle vs. Lovefield vs. Microsoft SQL Server vs. Solr

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft SQL Server  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.Embeddable relational database for web apps written in pure JavaScriptMicrosofts flagship relational DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#286  Overall
#131  Relational DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Websitegoogle.github.io/­lovefieldwww.microsoft.com/­en-us/­sql-serversolr.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-US/­sql/­sql-serversolr.apache.org/­resources.html
DeveloperDrizzle project, originally started by Brian AkerGoogleMicrosoftApache Software Foundation
Initial release2008201419892006
Current release7.2.4, September 20122.1.12, February 2017SQL Server 2022, November 20229.5.0, February 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++Java
Server operating systemsFreeBSD
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language infovia JavaScript builder patternyesSolr Parallel SQL Interface
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
PHP
JavaScriptC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaJava plugins
Triggersno infohooks for callbacks inside the server can be used.Using read-only observersyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes, but depending on the SQL-Server Editionyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardyes

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More resources
DrizzleLovefieldMicrosoft SQL ServerSolr
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