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DBMS > FatDB vs. Google Cloud Firestore vs. Immudb vs. Interbase vs. Lovefield

System Properties Comparison FatDB vs. Google Cloud Firestore vs. Immudb vs. Interbase vs. Lovefield

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonImmudb  Xexclude from comparisonInterbase  Xexclude from comparisonLovefield  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.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 immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Light-weight proven RDBMS infooriginally from BorlandEmbeddable relational database for web apps written in pure JavaScript
Primary database modelDocument store
Key-value store
Document storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­codenotary/­immudb
immudb.io
www.embarcadero.com/­products/­interbasegoogle.github.io/­lovefield
Technical documentationfirebase.google.com/­docs/­firestoredocs.immudb.iodocs.embarcadero.com/­products/­interbasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperFatCloudGoogleCodenotaryEmbarcaderoGoogle
Initial release20122017202019842014
Current release1.2.3, April 2022InterBase 2020, December 20192.1.12, February 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoCJavaScript
Server operating systemsWindowshostedBSD
Linux
macOS
Solaris
Windows
z/OS
Android
iOS
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeschema-freeschema-freeyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like syntaxyesSQL-like query language infovia JavaScript builder pattern
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
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsyes, Firebase Rules & Cloud Functionsnoyes infoInterbase procedure and trigger languageno
Triggersyes infovia applicationsyes, with Cloud FunctionsnoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
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. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardno

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More resources
FatDBGoogle Cloud FirestoreImmudbInterbaseLovefield
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