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DBMS > Databricks vs. EDB Postgres vs. FileMaker vs. Firebase Realtime Database vs. Realm

System Properties Comparison Databricks vs. EDB Postgres vs. FileMaker vs. Firebase Realtime Database vs. Realm

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker 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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitewww.databricks.comwww.enterprisedb.comwww.claris.com/­filemakerfirebase.google.com/­products/­realtime-databaserealm.io
Technical documentationdocs.databricks.comwww.enterprisedb.com/­docswww.claris.com/­resources/­documentationfirebase.google.com/­docs/­databaserealm.io/­docs
DeveloperDatabricksEnterpriseDBClaris infoa subsidiary of AppleGoogle infoacquired by Google 2014Realm, acquired by MongoDB in May 2019
Initial release20132005198320122014
Current release14, December 202119.4.1, November 2021
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedAndroid
Backend: server-less
iOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-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.yesyes infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infostandard with numerous extensionsyes infovia pluginsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHPJava
JavaScript
Objective-C
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yeslimited functionality with using 'rules'no inforuns within the applications so server-side scripts are unnecessary
TriggersyesyesCallbacks are triggered when data changesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replication, warm standby infosince Version 14none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.nonoyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesyes, based on authentication and database rulesyes
More information provided by the system vendor
DatabricksEDB PostgresFileMakerFirebase Realtime DatabaseRealm
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEDB PostgresFileMakerFirebase Realtime DatabaseRealm
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