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DBMS > Databricks vs. EXASOL vs. FileMaker vs. KeyDB vs. RDF4J

System Properties Comparison Databricks vs. EXASOL vs. FileMaker vs. KeyDB vs. RDF4J

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonFileMaker  Xexclude from comparisonKeyDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSKey-value storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.databricks.comwww.exasol.comwww.claris.com/­filemakergithub.com/­Snapchat/­KeyDB
keydb.dev
rdf4j.org
Technical documentationdocs.databricks.comwww.exasol.com/­resourceswww.claris.com/­resources/­documentationdocs.keydb.devrdf4j.org/­documentation
DeveloperDatabricksExasolClaris infoa subsidiary of AppleEQ Alpha Technology Ltd.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132000198320192004
Current release19.4.1, November 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD-3Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 formatno
Secondary indexesyesyesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLwith Databricks SQLyesyes infovia pluginsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Filemaker WebDirect
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
PHPC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesLuayes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoOptimistic locking, atomic execution of commands blocks and scriptsACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts and connection to external directory servicessimple password-based access control and ACLno
More information provided by the system vendor
DatabricksEXASOLFileMakerKeyDBRDF4J infoformerly known as Sesame
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLFileMakerKeyDBRDF4J infoformerly known as Sesame
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