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

System Properties Comparison Alibaba Cloud Table Store vs. Datomic vs. Firebase Realtime Database vs. HugeGraph 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 comparisonHugeGraph  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.A fast-speed and highly-scalable Graph DBMSSearch-as-a-service for web and mobile app development
Primary database modelWide column storeRelational DBMSDocument storeGraph DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#310  Overall
#12  Wide column stores
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score0.15
Rank#339  Overall
#33  Graph DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websitewww.alibabacloud.com/­product/­table-storewww.datomic.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comfirebase.google.com/­docs/­databasehugegraph.apache.org/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaCognitectGoogle infoacquired by Google 2014BaiduMicrosoft
Initial release20162012201220182015
Current release1.0.6735, June 20230.9V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
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, ClojureJava
Server operating systemshostedAll OS with a Java VMhostedLinux
macOS
Unix
hosted
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.nonononono
Secondary indexesnoyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonononono
APIs and other access methodsHTTP APIRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesJava
Python
Clojure
Java
Java
JavaScript
Objective-C
Groovy
Java
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionslimited functionality with using 'rules'asynchronous Gremlin script jobsno
TriggersnoBy using transaction functionsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding 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 peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDyesACIDno
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)yesyesyes
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 developmentyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoyes, based on authentication and database rulesUsers, roles and permissionsyes infousing Azure authentication

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More resources
Alibaba Cloud Table StoreDatomicFirebase Realtime DatabaseHugeGraphMicrosoft Azure AI Search
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