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DBMS > Apache Pinot vs. GeoSpock vs. H2GIS

System Properties Comparison Apache Pinot vs. GeoSpock vs. H2GIS

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGeoSpock  Xexclude from comparisonH2GIS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencySpatial and temporal data processing engine for extreme data scaleSpatial extension of H2
Primary database modelRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Websitepinot.apache.orggeospock.comwww.h2gis.org
Technical documentationdocs.pinot.apache.orgwww.h2gis.org/­docs/­home
DeveloperApache Software Foundation and contributorsGeoSpockCNRS
Initial release20152013
Current release1.0.0, September 20232.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoLGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJava
Server operating systemsAll OS with a Java JDK11 or higherhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBCJDBC
Supported programming languagesGo
Java
Python
Java
Server-side scripts infoStored proceduresnoyes infobased on H2
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
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 controlAccess rights for users can be defined per tableyes infobased on H2

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More resources
Apache PinotGeoSpockH2GIS
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