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DBMS > Apache Pinot vs. EXASOL vs. HEAVY.AI vs. RDFox

System Properties Comparison Apache Pinot vs. EXASOL vs. HEAVY.AI vs. RDFox

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEXASOL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitepinot.apache.orgwww.exasol.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.oxfordsemantic.tech
Technical documentationdocs.pinot.apache.orgwww.exasol.com/­resourcesdocs.heavy.aidocs.oxfordsemantic.tech
DeveloperApache Software Foundation and contributorsExasolHEAVY.AI, Inc.Oxford Semantic Technologies
Initial release2015200020162017
Current release1.0.0, September 20235.10, January 20226.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ and CUDAC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
macOS
Windows
Data schemeyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
Vega
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
Python
Java
Lua
Python
R
All languages supporting JDBC/ODBC/Thrift
Python
C
Java
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Apache PinotEXASOLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022RDFox
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