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DBMS > Databricks vs. Ehcache vs. FileMaker

System Properties Comparison Databricks vs. Ehcache vs. FileMaker

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonFileMaker  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.A widely adopted Java cache with tiered storage optionsFileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelDocument store
Relational DBMS
Key-value storeRelational 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Websitewww.databricks.comwww.ehcache.orgwww.claris.com/­filemaker
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationwww.claris.com/­resources/­documentation
DeveloperDatabricksTerracotta Inc, owned by Software AGClaris infoa subsidiary of Apple
Initial release201320091983
Current release3.10.0, March 202219.4.1, November 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java VMiOS infoclient part only
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
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.yesnoyes infoA http query request can return the data in XML format
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyes infovia plugins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheFilemaker WebDirect
JDBC
ODBC
Supported programming languagesPython
R
Scala
JavaPHP
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Servernone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory services
More information provided by the system vendor
DatabricksEhcacheFileMaker
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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