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DBMS > Amazon SimpleDB vs. FatDB vs. Google Cloud Firestore vs. openGauss vs. OpenTSDB

System Properties Comparison Amazon SimpleDB vs. FatDB vs. Google Cloud Firestore vs. openGauss vs. OpenTSDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonopenGauss  Xexclude from comparisonOpenTSDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA .NET NoSQL DBMS that can integrate with and extend SQL Server.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 enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiScalable Time Series DBMS based on HBase
Primary database modelKey-value storeDocument store
Key-value store
Document storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websiteaws.amazon.com/­simpledbfirebase.google.com/­products/­firestoregitee.com/­opengauss
opengauss.org
opentsdb.net
Technical documentationdocs.aws.amazon.com/­simpledbfirebase.google.com/­docs/­firestoredocs.opengauss.org/­en
gitee.com/­opengauss/­docs
opentsdb.net/­docs/­build/­html/­index.html
DeveloperAmazonFatCloudGoogleHuawei and openGauss communitycurrently maintained by Yahoo and other contributors
Initial release20072012201720192011
Current release3.0, March 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C, C++, JavaJava
Server operating systemshostedWindowshostedLinuxLinux
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesnumeric data for metrics, strings for tags
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesno
SQL infoSupport of SQLnono infoVia inetgration in SQL ServernoANSI SQL 2011no
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP API
Telnet API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Java
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsyes, Firebase Rules & Cloud Functionsyesno
Triggersnoyes infovia applicationsyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardinghorizontal partitioning (by range, list and hash)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users, groups and roles according to SQL-standardno

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More resources
Amazon SimpleDBFatDBGoogle Cloud FirestoreopenGaussOpenTSDB
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