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DBMS > Apache Pinot vs. Databricks vs. RDFox

System Properties Comparison Apache Pinot vs. Databricks vs. RDFox

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatabricks  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyThe 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 knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#275  Overall
#128  Relational DBMS
Score85.60
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.23
Rank#296  Overall
#24  Graph DBMS
#13  RDF stores
Websitepinot.apache.orgwww.databricks.comwww.oxfordsemantic.tech
Technical documentationdocs.pinot.apache.orgdocs.databricks.comdocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsDatabricksOxford Semantic Technologies
Initial release201520132017
Current release1.0.0, September 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherhostedLinux
macOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemas
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.yes
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
Python
R
Scala
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregates
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file system
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRoles, resources, and access types
More information provided by the system vendor
Apache PinotDatabricksRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache PinotDatabricksRDFox
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