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DBMS > Alibaba Cloud Table Store vs. Datomic vs. Microsoft Azure AI Search vs. NCache

System Properties Comparison Alibaba Cloud Table Store vs. Datomic vs. Microsoft Azure AI Search vs. NCache

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNCache  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySearch-as-a-service for web and mobile app developmentOpen-Source and Enterprise in-memory Key-Value Store
Primary database modelWide column storeRelational DBMSSearch engineKey-value store
Secondary database modelsVector DBMSDocument store
Search engine infoUsing distributed Lucene
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.94
Rank#195  Overall
#29  Key-value stores
Websitewww.alibabacloud.com/­product/­table-storewww.datomic.comazure.microsoft.com/­en-us/­services/­searchwww.alachisoft.com/­ncache
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comlearn.microsoft.com/­en-us/­azure/­searchwww.alachisoft.com/­resources/­docs
DeveloperAlibabaCognitectMicrosoftAlachisoft
Initial release2016201220152005
Current release1.0.6735, June 2023V15.3.3, April 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoEnterprise Edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC#, .NET, .NET Core, Java
Server operating systemshostedAll OS with a Java VMhostedLinux
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counter
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.nononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.
APIs and other access methodsHTTP APIRESTful HTTP APIRESTful HTTP APIIDistributedCache
JCache
LINQ
Proprietary native API
Supported programming languagesJava
Python
Clojure
Java
C#
Java
JavaScript
Python
.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnono infosupport for stored procedures with SQL-Server CLR
TriggersnoBy using transaction functionsnoyes infoNotifications
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud serviceyes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud serviceyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnooptimistic locking and pessimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoyes infousing Azure authenticationAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)
More information provided by the system vendor
Alibaba Cloud Table StoreDatomicMicrosoft Azure AI SearchNCache
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more

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More resources
Alibaba Cloud Table StoreDatomicMicrosoft Azure AI SearchNCache
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