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DBMS > FatDB vs. GeoMesa vs. Google Cloud Firestore vs. Yaacomo

System Properties Comparison FatDB vs. GeoMesa vs. Google Cloud Firestore vs. Yaacomo

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.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.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Spatial DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score9.97
Rank#47  Overall
#8  Document stores
Websitewww.geomesa.orgfirebase.google.com/­products/­firestoreyaacomo.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlfirebase.google.com/­docs/­firestore
DeveloperFatCloudCCRi and othersGoogleQ2WEB GmbH
Initial release2012201420172009
Current release4.0.5, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Scala
Server operating systemsWindowshostedAndroid
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
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
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyes infovia applicationsnoyes, Firebase Rules & Cloud Functions
Triggersyes infovia applicationsnoyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factordepending on storage layerMulti-source replicationSource-replica replication
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
depending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID
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.depending on storage layeryes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes infodepending on the DBMS used for storageAccess 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
FatDBGeoMesaGoogle Cloud FirestoreYaacomo
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Recent citations in the news

Google Introduces Firestore Multiple Databases
24 February 2024, InfoQ.com

Google’s Firebase gets AI extensions, opens up its marketplace
10 May 2023, TechCrunch

Essentials for Working With Firestore in Python | by Lynn G. Kwong
13 November 2022, Towards Data Science

Realtime vs Cloud Firestore: Which Firebase Database to go?
20 May 2019, Appinventiv

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

provided by Google News



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