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DBMS > Apache Pinot vs. RDFox vs. Transwarp ArgoDB

System Properties Comparison Apache Pinot vs. RDFox vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonRDFox  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh performance knowledge graph and semantic reasoning engineDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitepinot.apache.orgwww.oxfordsemantic.techwww.transwarp.cn/­en/­product/­argodb
Technical documentationdocs.pinot.apache.orgdocs.oxfordsemantic.techdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperApache Software Foundation and contributorsOxford Semantic TechnologiesTranswarp
Initial release20152017
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 servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
Windows
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBCRESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
C
Java
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesreplication via a shared file system
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
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.yes
User concepts infoAccess controlRoles, resources, and access types

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More resources
Apache PinotRDFoxTranswarp ArgoDB
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