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DBMS > Databricks vs. FileMaker vs. Infobright

System Properties Comparison Databricks vs. FileMaker vs. Infobright

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonInfobright  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.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational 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
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Websitewww.databricks.comwww.claris.com/­filemakerignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationdocs.databricks.comwww.claris.com/­resources/­documentation
DeveloperDatabricksClaris infoa subsidiary of AppleIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release201319832005
Current release19.4.1, November 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes
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 formatno
Secondary indexesyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLwith Databricks SQLyes infovia pluginsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
PHP.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities
More information provided by the system vendor
DatabricksFileMakerInfobright
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFileMakerInfobright
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