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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .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.Light-weight proven RDBMS infooriginally from BorlandEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.datomic.comfirebase.google.com/­products/­firestorewww.embarcadero.com/­products/­interbasegoogle.github.io/­lovefield
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestoredocs.embarcadero.com/­products/­interbasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCognitectFatCloudGoogleEmbarcaderoGoogle
Initial release20122012201719842014
Current release1.0.6735, June 2023InterBase 2020, December 20192.1.12, February 2017
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC#CJavaScript
Server operating systemsAll OS with a Java VMWindowshostedAndroid
iOS
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 SQLnono infoVia inetgration in SQL ServernoyesSQL-like query language infovia JavaScript builder pattern
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
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes infoInterbase procedure and trigger languageno
TriggersBy using transaction functionsyes infovia applicationsyes, with Cloud FunctionsyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factorMulti-source replicationInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes, 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.yes inforecommended only for testing and developmentyesyes infousing MemoryDB
User concepts infoAccess controlnono 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
DatomicFatDBGoogle Cloud FirestoreInterbaseLovefield
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