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DBMS > Apache Pinot vs. H2GIS vs. Hive vs. RDFox vs. Spark SQL

System Properties Comparison Apache Pinot vs. H2GIS vs. Hive vs. RDFox vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonH2GIS  Xexclude from comparisonHive  Xexclude from comparisonRDFox  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencySpatial extension of H2data warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance knowledge graph and semantic reasoning engineSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSSpatial DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitepinot.apache.orgwww.h2gis.orghive.apache.orgwww.oxfordsemantic.techspark.apache.org/­sql
Technical documentationdocs.pinot.apache.orgwww.h2gis.org/­docs/­homecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oxfordsemantic.techspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation and contributorsCNRSApache Software Foundation infoinitially developed by FacebookOxford Semantic TechnologiesApache Software Foundation
Initial release20152013201220172014
Current release1.0.0, September 20233.1.3, April 20226.0, Septermber 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPL 3.0Open Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++Scala
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsnoSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
Thrift
RESTful HTTP API
SPARQL 1.1
JDBC
ODBC
Supported programming languagesGo
Java
Python
JavaC++
Java
PHP
Python
C
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infobased on H2yes infouser defined functions and integration of map-reduceno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factorreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyes infobased on H2Access rights for users, groups and rolesRoles, resources, and access typesno

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More resources
Apache PinotH2GISHiveRDFoxSpark SQL
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