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DBMS > Microsoft Azure AI Search vs. MonetDB vs. RavenDB vs. Vitess

System Properties Comparison Microsoft Azure AI Search vs. MonetDB vs. RavenDB vs. Vitess

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionSearch-as-a-service for web and mobile app developmentA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMS
Secondary database modelsVector DBMSDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.59
Rank#63  Overall
#7  Search engines
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchwww.monetdb.orgravendb.netvitess.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchwww.monetdb.org/­Documentationravendb.net/­docsvitess.io/­docs
DeveloperMicrosoftMonetDB BVHibernating RhinosThe Linux Foundation, PlanetScale
Initial release2015200420102013
Current releaseV1Dec2023 (11.49), December 20235.4, July 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#Go
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)yes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoSource-replica replication available in experimental statusMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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 controlyes infousing Azure authenticationfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseUsers with fine-grained authorization concept infono user groups or roles

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More resources
Microsoft Azure AI SearchMonetDBRavenDBVitess
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