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DBMS > Apache Pinot vs. GBase vs. GeoSpock vs. Splice Machine

System Properties Comparison Apache Pinot vs. GBase vs. GeoSpock vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonSplice Machine  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 latencyWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitepinot.apache.orgwww.gbase.cngeospock.comsplicemachine.com
Technical documentationdocs.pinot.apache.orgsplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsGeneral Data Technology Co., Ltd.GeoSpockSplice Machine
Initial release201520042014
Current release1.0.0, September 2023GBase 8a, GBase 8s, GBase 8c2.0, September 20193.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJava, JavascriptJava
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedLinux
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.yesno
Secondary indexesyestemporal, categoricalyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsANSI SQL for query only (using Presto)yes
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
JDBCJDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
Python
C#C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes
User concepts infoAccess controlyesAccess rights for users can be defined per tableAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PinotGBaseGeoSpockSplice Machine
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