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DBMS > Microsoft Azure AI Search vs. Microsoft SQL Server vs. Titan vs. Valkey

System Properties Comparison Microsoft Azure AI Search vs. Microsoft SQL Server vs. Titan vs. Valkey

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Editorial information provided by DB-Engines
NameMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTitan  Xexclude from comparisonValkey infoOpen source key/value datastore  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionSearch-as-a-service for web and mobile app developmentMicrosofts flagship relational DBMSTitan is a Graph DBMS optimized for distributed clusters.Open source key/value datastore
Primary database modelSearch engineRelational DBMSGraph DBMSKey-value store
Secondary database modelsVector DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.28
Rank#61  Overall
#7  Search engines
Score774.89
Rank#3  Overall
#3  Relational DBMS
Score1.35
Rank#153  Overall
#25  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­searchwww.microsoft.com/­en-us/­sql-servergithub.com/­thinkaurelius/­titanvalkey.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­thinkaurelius/­titan/­wikigithub.com/­valkey-io/­valkey
DeveloperMicrosoftMicrosoftAurelius, owned by DataStax
Initial release2015198920122024
Current releaseV1SQL Server 2022, November 2022Valkey 8.0.1, October 2024
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache license, version 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++JavaC
Server operating systemshostedLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
Java
JavaScript
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
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-standardUser authentification and security via Rexster Graph Server

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Microsoft Azure AI SearchMicrosoft SQL ServerTitanValkey infoOpen source key/value datastore
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