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DBMS > Apache Pinot vs. atoti vs. RDFox

System Properties Comparison Apache Pinot vs. atoti vs. RDFox

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonatoti  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSObject oriented DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitepinot.apache.orgatoti.iowww.oxfordsemantic.tech
Technical documentationdocs.pinot.apache.orgdocs.atoti.iodocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsActiveViamOxford Semantic Technologies
Initial release20152017
Current release1.0.0, September 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
Data schemeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyes
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)no
APIs and other access methodsJDBCRESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
C
Java
Server-side scripts infoStored proceduresPython
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRoles, resources, and access types

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More resources
Apache PinotatotiRDFox
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