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DBMS > Apache Pinot vs. FeatureBase vs. GeoSpock vs. MonetDB

System Properties Comparison Apache Pinot vs. FeatureBase vs. GeoSpock vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFeatureBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonMonetDB  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 latencyReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Spatial and temporal data processing engine for extreme data scaleA relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitepinot.apache.orgwww.featurebase.comgeospock.comwww.monetdb.org
Technical documentationdocs.pinot.apache.orgdocs.featurebase.comwww.monetdb.org/­Documentation
DeveloperApache Software Foundation and contributorsMolecula and Pilosa Open Source ContributorsGeoSpockMonetDB BV
Initial release201520172004
Current release1.0.0, September 20232022, May 20222.0, September 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, JavascriptC
Server operating systemsAll OS with a Java JDK11 or higherLinux
macOS
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
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 indexesnotemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageSQL queriesANSI SQL for query only (using Presto)yes infoSQL 2003 with some extensions
APIs and other access methodsJDBCgRPC
JDBC
Kafka Connector
ODBC
JDBCJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGo
Java
Python
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, in SQL, C, R
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic shardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
Apache PinotFeatureBaseGeoSpockMonetDB
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