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DBMS > Alibaba Cloud Table Store vs. Amazon CloudSearch vs. CouchDB vs. Google Cloud Firestore vs. OpenMLDB

System Properties Comparison Alibaba Cloud Table Store vs. Amazon CloudSearch vs. CouchDB vs. Google Cloud Firestore vs. OpenMLDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessA hosted search engine service by Amazon with the data stored in Amazons cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An open-source machine learning database that provides a feature platform for training and inference
Primary database modelWide column storeSearch engineDocument storeDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.85
Rank#137  Overall
#12  Search engines
Score9.30
Rank#45  Overall
#7  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­cloudsearchcouchdb.apache.orgfirebase.google.com/­products/­firestoreopenmldb.ai
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.aws.amazon.com/­cloudsearchdocs.couchdb.org/­en/­stablefirebase.google.com/­docs/­firestoreopenmldb.ai/­docs/­zh/­main
DeveloperAlibabaAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogle4 Paradigm Inc.
Initial release20162012200520172020
Current release3.3.3, December 20232024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++, Java, Scala
Server operating systemshostedhostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeyesschema-freeschema-freeFixed schema
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesnoyes infoall search fields are automatically indexedyes infovia viewsyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHTTP APIHTTP APIRESTful HTTP/JSON APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
SQLAlchemy
Supported programming languagesJava
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes, Firebase Rules & Cloud Functionsno
Triggersnonoyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensauthentication via encrypted signaturesAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreAmazon CloudSearchCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud FirestoreOpenMLDB
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