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DBMS > Alibaba Cloud Table Store vs. Datomic vs. Firebase Realtime Database vs. Microsoft Access vs. Microsoft Azure AI Search

System Properties Comparison Alibaba Cloud Table Store vs. Datomic vs. Firebase Realtime Database vs. Microsoft Access vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  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 durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Search-as-a-service for web and mobile app development
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
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
Score14.29
Rank#39  Overall
#6  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.alibabacloud.com/­product/­table-storewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comfirebase.google.com/­docs/­databasedeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaCognitectGoogle infoacquired by Google 2014MicrosoftMicrosoft
Initial release20162012201219922015
Current release1.0.6735, June 20231902 (16.0.11328.20222), March 2019V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemshostedAll OS with a Java VMhostedWindows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardno
APIs and other access methodsHTTP APIRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesJava
Python
Clojure
Java
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionslimited functionality with using 'rules'yes infosince Access 2010 using the ACE-engineno
TriggersnoBy using transaction functionsCallbacks are triggered when data changesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDyesACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infobut no files for transaction loggingyes
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 developmentno
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoyes, based on authentication and database rulesno infoa simple user-level security was built in till version Access 2003yes infousing Azure authentication

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More resources
Alibaba Cloud Table StoreDatomicFirebase Realtime DatabaseMicrosoft AccessMicrosoft Azure AI Search
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