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DBMS > Apache Hive vs. Apache Pinot vs. Transwarp KunDB

System Properties Comparison Apache Hive vs. Apache Pinot vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonApache Pinot  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score0.35
Rank#271  Overall
#126  Relational DBMS
Score0.02
Rank#375  Overall
#156  Relational DBMS
Websitehive.apache.orgpinot.apache.orgwww.transwarp.cn/­en/­product/­kundb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.pinot.apache.org
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software Foundation and contributorsTranswarp
Initial release20122015
Current release3.1.3, April 20221.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java JDK11 or higher
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Supported programming languagesC++
Java
PHP
Python
Go
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesyes

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More resources
Apache HiveApache PinotTranswarp KunDB
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