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DBMS > Databricks vs. GraphDB vs. MariaDB vs. MySQL vs. RRDtool

System Properties Comparison Databricks vs. GraphDB vs. MariaDB vs. MySQL vs. RRDtool

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMariaDB  Xexclude from comparisonMySQL  Xexclude from comparisonRRDtool  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.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.MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Widely used open source RDBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Document store
Spatial 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
Score3.25
Rank#91  Overall
#7  Graph DBMS
#4  RDF stores
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitewww.databricks.comwww.ontotext.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.mysql.comoss.oetiker.ch/­rrdtool
Technical documentationdocs.databricks.comgraphdb.ontotext.com/­documentationmariadb.com/­kb/­en/­librarydev.mysql.com/­docoss.oetiker.ch/­rrdtool/­doc
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDatabricksOntotextMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Oracle infosince 2010, originally MySQL AB, then SunTobias Oetiker
Initial release201320002009 infoFork of MySQL, which was first released in 199519951999
Current release10.4, October 202311.3.2, February 20248.4.0, April 20241.8.0, 2022
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC and C++C and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemshostedAll OS with a Java VM
Linux
OS X
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
FreeBSD
Linux
OS X
Solaris
Windows
HP-UX
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema support; RDF shapesyes infoDynamic columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.yesnoyesyesno infoExporting into and restoring from XML files possible
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyes infowith proprietary extensionsyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
Proprietary native API
in-process shared library
Pipes
Supported programming languagesPython
R
Scala
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregateswell-defined plugin interfaces; JavaScript server-side extensibilityyes infoPL/SQL compatibility added with version 10.3yes infoproprietary syntaxno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneseveral options for horizontal partitioning and Shardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoConstraint checkingyes infonot for MyISAM storage engineyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage engineACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engineyesyes
User concepts infoAccess controlDefault 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.fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
DatabricksGraphDB infoformer name: OWLIMMariaDBMySQLRRDtool
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
MariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
MariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Web, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
MariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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