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DBMS > Alibaba Cloud Table Store vs. Microsoft Azure SQL Database vs. Titan vs. Vitess

System Properties Comparison Alibaba Cloud Table Store vs. Microsoft Azure SQL Database vs. Titan vs. Vitess

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTitan  Xexclude from comparisonVitess  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.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDatabase as a Service offering with high compatibility to Microsoft SQL ServerTitan is a Graph DBMS optimized for distributed clusters.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­thinkaurelius/­titanvitess.io
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.microsoft.com/­en-us/­azure/­azure-sqlgithub.com/­thinkaurelius/­titan/­wikivitess.io/­docs
DeveloperAlibabaMicrosoftAurelius, owned by DataStaxThe Linux Foundation, PlanetScale
Initial release2016201020122013
Current releaseV1215.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license, version 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemshostedhostedLinux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
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 proceduresnoTransact SQLyesyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, with always 3 replicas availableyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyes infoRelationships in graphyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or roles

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More resources
Alibaba Cloud Table StoreMicrosoft Azure SQL Database infoformerly SQL AzureTitanVitess
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