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DBMS > FileMaker vs. Firebase Realtime Database vs. RavenDB vs. StarRocks vs. WakandaDB

System Properties Comparison FileMaker vs. Firebase Realtime Database vs. RavenDB vs. StarRocks vs. WakandaDB

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRavenDB  Xexclude from comparisonStarRocks  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSObject oriented DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databaseravendb.netwww.starrocks.iowakanda.github.io
Technical documentationwww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databaseravendb.net/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwakanda.github.io/­doc
DeveloperClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014Hibernating RhinosThe Linux Foundation infosince Feb 2023Wakanda SAS
Initial release19832012201020202012
Current release19.4.1, November 20215.4, July 20222.5.3, March 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license available
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#C++, JavaC++, JavaScript
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yes infoA http query request can return the data in XML formatnonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infovia pluginsnoSQL-like query language (RQL)yesno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
MySQL protocol
RESTful HTTP API
Supported programming languagesPHPJava
JavaScript
Objective-C
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJavaScript
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yesuser defined functionsyes
TriggersyesCallbacks are triggered when data changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID, Cluster-wide transaction availablenoACID
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 controlsimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesAuthorization levels configured per client per databaseRole based access control and fine grained access rightsyes

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More resources
FileMakerFirebase Realtime DatabaseRavenDBStarRocksWakandaDB
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