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DBMS > Alibaba Cloud Table Store vs. Databend vs. Firebase Realtime Database vs. Microsoft Azure AI Search vs. RDF4J

System Properties Comparison Alibaba Cloud Table Store vs. Databend vs. Firebase Realtime Database vs. Microsoft Azure AI Search vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatabend  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityCloud-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 developmentRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeRelational DBMSDocument storeSearch engineRDF store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­table-storegithub.com/­datafuselabs/­databend
www.databend.com
firebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­searchrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.databend.comfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­searchrdf4j.org/­documentation
DeveloperAlibabaDatabend LabsGoogle infoacquired by Google 2014MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20162021201220152004
Current release1.0.59, April 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemshostedhosted
Linux
macOS
hostedhostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyesyes infoRDF Schemas
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 indexesnonoyesyesyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsHTTP APICLI Client
JDBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
Python
Rust
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
Java
PHP
Python
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneyes infoImplicit feature of the cloud servicenone
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesyesnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights based on subaccounts and tokensUsers with fine-grained authorization concept, user rolesyes, based on authentication and database rulesyes infousing Azure authenticationno

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More resources
Alibaba Cloud Table StoreDatabendFirebase Realtime DatabaseMicrosoft Azure AI SearchRDF4J infoformerly known as Sesame
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