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DBMS > FatDB vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. SAP HANA

System Properties Comparison FatDB vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. SAP HANA

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSAP HANA  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.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.In-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument store
Key-value store
Key-value store
Wide column store
Document storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.36
Rank#53  Overall
#9  Document stores
Score44.27
Rank#23  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigtablefirebase.google.com/­products/­firestorewww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestorehelp.sap.com/­hana
DeveloperFatCloudGoogleGoogleSAP
Initial release2012201520172010
Current release2.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#
Server operating systemsWindowshostedhostedAppliance or cloud-service
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernonoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyes infovia applicationsnoyes, Firebase Rules & Cloud FunctionsSQLScript, R
Triggersyes infovia applicationsnoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes

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More resources
FatDBGoogle Cloud BigtableGoogle Cloud FirestoreSAP HANA
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