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DBMS > Alibaba Cloud Table Store vs. DolphinDB vs. FatDB vs. Memcached vs. Microsoft Azure AI Search

System Properties Comparison Alibaba Cloud Table Store vs. DolphinDB vs. FatDB vs. Memcached vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A .NET NoSQL DBMS that can integrate with and extend SQL Server.In-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app development
Primary database modelWide column storeTime Series DBMSDocument store
Key-value store
Key-value storeSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.alibabacloud.com/­product/­table-storewww.dolphindb.comwww.memcached.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaDolphinDB, IncFatCloudDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release20162018201220032015
Current releasev2.00.4, January 20221.6.27, May 2024V1
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#C
Server operating systemshostedLinux
Windows
WindowsFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageno infoVia inetgration in SQL Servernono
APIs and other access methodsHTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary protocolRESTful HTTP API
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyes infovia applicationsnono
Triggersnonoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsyes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authentication

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More resources
Alibaba Cloud Table StoreDolphinDBFatDBMemcachedMicrosoft Azure AI Search
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