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DBMS > Hive vs. Kinetica vs. MonetDB vs. QuestDB vs. Trafodion

System Properties Comparison Hive vs. Kinetica vs. MonetDB vs. QuestDB vs. Trafodion

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsA relational database management system that stores data in columnsA high performance open source SQL database for time series dataTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitehive.apache.orgwww.kinetica.comwww.monetdb.orgquestdb.iotrafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comwww.monetdb.org/­Documentationquestdb.io/­docstrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by FacebookKineticaMonetDB BVQuestDB Technology IncApache Software Foundation, originally developed by HP
Initial release20122012200420142014
Current release3.1.3, April 20227.1, August 2021Dec2023 (11.49), December 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++CJava (Zero-GC), C++, RustC++, Java
Server operating systemsAll OS with a Java VMLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocolyes
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.nonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL with time-series extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes, in SQL, C, RnoJava Stored Procedures
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tableshorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
HiveKineticaMonetDBQuestDBTrafodion
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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