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DBMS > Alibaba Cloud Table Store vs. Google Cloud Firestore vs. Google Search Appliance vs. MongoDB vs. Riak TS

System Properties Comparison Alibaba Cloud Table Store vs. Google Cloud Firestore vs. Google Search Appliance vs. MongoDB vs. Riak TS

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessCloud 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.The Google Search Appliance consists of hardware and software for indexing documents in local networks.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelWide column storeDocument storeSearch engineDocument storeTime Series DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#243  Overall
#10  Wide column stores
Score6.61
Rank#51  Overall
#9  Document stores
Score2.62
Rank#95  Overall
#11  Search engines
Score438.43
Rank#5  Overall
#1  Document stores
Score0.27
Rank#250  Overall
#17  Time Series DBMS
Websitewww.alibabacloud.com/­product/­table-storefirebase.google.com/­products/­firestoreenterprise.google.com/­search/­products/­gsa.htmlwww.mongodb.comriak.com/­products/­riak-ts
Technical documentationwww.alibabacloud.com/­help/­product/­27278.htmfirebase.google.com/­docs/­firestoresupport.google.com/­gsadocs.mongodb.com/­manual
DeveloperAlibabaGoogleGoogleMongoDB, IncBasho Technologies
Initial release20162017200220092015
Current release4.2.5, March 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++Erlang
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLnononoRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsHTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Administrative API
Browser interface
HTTP API
proprietary protocol using JSONHTTP API
Native Erlang Interface
Supported programming languagesJava
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsJavaScriptJavaScript and Erlang
Triggersnoyes, with Cloud Functionsyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-master replicationMaster-slave replicationMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.User authentication via various security protocolsAccess rights for users and rolesno
More information provided by the system vendor
Alibaba Cloud Table StoreGoogle Cloud FirestoreGoogle Search ApplianceMongoDBRiak TS
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
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