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DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Datomic vs. Firebase Realtime Database vs. Microsoft Azure AI Search

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Datomic vs. Firebase Realtime Database vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Search-as-a-service for web and mobile app development
Primary database modelWide column storeDocument store
Key-value store
Relational DBMSDocument storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#324  Overall
#12  Wide column stores
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score5.72
Rank#66  Overall
#8  Search engines
Websitewww.alibabacloud.com/­product/­table-storeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaAtos Convergence CreatorsCognitectGoogle infoacquired by Google 2014Microsoft
Initial release20162016201220122015
Current release17031.0.6735, June 2023V1
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Clojure
Server operating systemshostedLinuxAll OS with a Java VMhostedhosted
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonononono
APIs and other access methodsHTTP APILDAPRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJava
Python
All languages with LDAP bindingsClojure
Java
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionslimited functionality with using 'rules'no
TriggersnoyesBy using transaction functionsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights based on subaccounts and tokensLDAP bind authenticationnoyes, based on authentication and database rulesyes infousing Azure authentication

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More resources
Alibaba Cloud Table StoreAtos Standard Common RepositoryDatomicFirebase Realtime DatabaseMicrosoft Azure AI Search
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