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

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

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisoneXtremeDB  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.Natively in-memory DBMS with options for persistency, high-availability and clusteringFileMaker 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 DBMS
Time Series DBMS
Relational DBMSSpatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.databricks.comwww.mcobject.comwww.claris.com/­filemakerpostgis.netswaydb.simer.au
Technical documentationdocs.databricks.comwww.mcobject.com/­docs/­extremedb.htmwww.claris.com/­resources/­documentationpostgis.net/­documentation
DeveloperDatabricksMcObjectClaris infoa subsidiary of AppleSimer Plaha
Initial release20132001198320052018
Current release8.2, 202119.4.1, November 20213.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL v2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CScala
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesno infosupport of XML interfaces availableyes infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infowith the option: eXtremeSQLyes infovia pluginsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
PHPJava
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesuser defined functionsno
Triggersyes infoby defining eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnoneyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication, warm standby infosince Version 14yes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.noyesnoyes
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
DatabrickseXtremeDBFileMakerPostGISSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
DatabrickseXtremeDBFileMakerPostGISSwayDB
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