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DBMS > Databricks vs. FileMaker vs. PostGIS vs. SwayDB

System Properties Comparison Databricks vs. FileMaker vs. PostGIS vs. SwayDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonPostGIS  Xexclude from comparisonSwayDB  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial extension of PostgreSQLAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.databricks.comwww.claris.com/­filemakerpostgis.netswaydb.simer.au
Technical documentationdocs.databricks.comwww.claris.com/­resources/­documentationpostgis.net/­documentation
DeveloperDatabricksClaris infoa subsidiary of AppleSimer Plaha
Initial release2013198320052018
Current release19.4.1, November 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScala
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infovia pluginsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesPython
R
Scala
PHPJava
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesuser defined functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of operations
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.nonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes infobased on PostgreSQLno
More information provided by the system vendor
DatabricksFileMakerPostGISSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFileMakerPostGISSwayDB
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