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DBMS > Dolt vs. Drizzle vs. Microsoft Azure AI Search vs. Solr

System Properties Comparison Dolt vs. Drizzle vs. Microsoft Azure AI Search vs. Solr

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure AI Search  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.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Search-as-a-service for web and mobile app developmentA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsDocument storeVector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
azure.microsoft.com/­en-us/­services/­searchsolr.apache.org
Technical documentationdocs.dolthub.comlearn.microsoft.com/­en-us/­azure/­searchsolr.apache.org/­resources.html
DeveloperDoltHub IncDrizzle project, originally started by Brian AkerMicrosoftApache Software Foundation
Initial release2018200820152006
Current release7.2.4, September 2012V19.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsLinux
macOS
Windows
FreeBSD
Linux
OS X
hostedAll 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.nonoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyes infowith proprietary extensionsnoSolr Parallel SQL Interface
APIs and other access methodsCLI Client
HTTP REST
JDBCRESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PHP
C#
Java
JavaScript
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenonoJava plugins
Triggersyesno infohooks for callbacks inside the server can be used.noyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceyes
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 integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupPluggable authentication mechanisms infoe.g. LDAP, HTTPyes infousing Azure authenticationyes

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More resources
DoltDrizzleMicrosoft Azure AI SearchSolr
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