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DBMS > Databricks vs. EXASOL vs. FileMaker vs. PostGIS

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonPostGIS  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Spatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational 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
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comwww.exasol.comwww.claris.com/­filemakerpostgis.net
Technical documentationdocs.databricks.comwww.exasol.com/­resourceswww.claris.com/­resources/­documentationpostgis.net/­documentation
DeveloperDatabricksExasolClaris infoa subsidiary of Apple
Initial release2013200019832005
Current release19.4.1, November 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyes infoA http query request can return the data in XML formatyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes infovia pluginsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
PHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesuser defined functions
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicesyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksEXASOLFileMakerPostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLFileMakerPostGIS
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