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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  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 accessConverged and high performance database for device data, events, time series, document and graphDatomic 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
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#310  Overall
#12  Wide column stores
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score5.71
Rank#64  Overall
#8  Search engines
Websitewww.alibabacloud.com/­product/­table-storebangdb.comwww.datomic.comfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.bangdb.comdocs.datomic.comfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaSachin Sinha, BangDBCognitectGoogle infoacquired by Google 2014Microsoft
Initial release20162012201220122015
Current releaseBangDB 2.0, October 20211.0.6735, June 2023V1
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercial 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 languageC, C++Java, Clojure
Server operating systemshostedLinuxAll OS with a Java VMhostedhosted
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLnoSQL like support with command line toolnonono
APIs and other access methodsHTTP APIProprietary protocol
RESTful HTTP API
RESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJava
Python
C
C#
C++
Java
Python
Clojure
Java
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionslimited functionality with using 'rules'no
Triggersnoyes, Notifications (with Streaming only)By using transaction functionsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone 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 serviceselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersyes 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 ConsistencyTunable consistency, set CAP knob accordinglyImmediate 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 operationsACIDACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes 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, run db with in-memory only modeyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights based on subaccounts and tokensyes (enterprise version only)noyes, based on authentication and database rulesyes infousing Azure authentication

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More resources
Alibaba Cloud Table StoreBangdbDatomicFirebase Realtime DatabaseMicrosoft Azure AI Search
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