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DBMS > Databricks vs. FileMaker vs. GraphDB vs. Percona Server for MongoDB

System Properties Comparison Databricks vs. FileMaker vs. GraphDB vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonPercona Server for MongoDB  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.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Document 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
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.databricks.comwww.claris.com/­filemakerwww.ontotext.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.comwww.claris.com/­resources/­documentationgraphdb.ontotext.com/­documentationdocs.percona.com/­percona-distribution-for-mongodb
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDatabricksClaris infoa subsidiary of AppleOntotextPercona
Initial release2013198320002015
Current release19.4.1, November 202110.4, October 20233.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL Version 2
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 languageJavaC++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free and OWL/RDFS-schema support; RDF shapesschema-free
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.yesyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyes
SQL infoSupport of SQLwith Databricks SQLyes infovia pluginsstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
PHP.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesyeswell-defined plugin interfaces; JavaScript server-side extensibilityJavaScript
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Multi-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.noyes infovia In-Memory Engine
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesDefault Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Access rights for users and roles
More information provided by the system vendor
DatabricksFileMakerGraphDB infoformer name: OWLIMPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Ontotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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