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DBMS > Alibaba Cloud Table Store vs. Datomic vs. Drizzle vs. Firebase Realtime Database vs. InterSystems Caché

System Properties Comparison Alibaba Cloud Table Store vs. Datomic vs. Drizzle vs. Firebase Realtime Database vs. InterSystems Caché

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
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 durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A multi-model DBMS and application server
Primary database modelWide column storeRelational DBMSRelational DBMSDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
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
Websitewww.alibabacloud.com/­product/­table-storewww.datomic.comfirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cache
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.datomic.comfirebase.google.com/­docs/­databasedocs.intersystems.com
DeveloperAlibabaCognitectDrizzle project, originally started by Brian AkerGoogle infoacquired by Google 2014InterSystems
Initial release20162012200820121997
Current release1.0.6735, June 20237.2.4, September 20122018.1.4, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
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 VMFreeBSD
Linux
OS X
hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freedepending on used data model
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.nononoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsnoyes
APIs and other access methodsHTTP APIRESTful HTTP APIJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJava
Python
Clojure
Java
C
C++
Java
PHP
Java
JavaScript
Objective-C
C#
C++
Java
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnolimited functionality with using 'rules'yes
TriggersnoBy using transaction functionsno infohooks for callbacks inside the server can be used.Callbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication
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 integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDyesACID
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 developmentyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnoPluggable authentication mechanisms infoe.g. LDAP, HTTPyes, based on authentication and database rulesAccess rights for users, groups and roles

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More resources
Alibaba Cloud Table StoreDatomicDrizzleFirebase Realtime DatabaseInterSystems Caché
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