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DBMS > Kinetica vs. MonetDB vs. QuestDB vs. Splunk

System Properties Comparison Kinetica vs. MonetDB vs. QuestDB vs. Splunk

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMonetDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFully 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 dataAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitewww.kinetica.comwww.monetdb.orgquestdb.iowww.splunk.com
Technical documentationdocs.kinetica.comwww.monetdb.org/­Documentationquestdb.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperKineticaMonetDB BVQuestDB Technology IncSplunk Inc.
Initial release2012200420142003
Current release7.1, August 2021Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CJava (Zero-GC), C++, Rust
Server operating systemsLinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
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.nonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsSQL with time-series extensionsno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
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
HTTP REST
Supported programming languagesC++
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
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Rnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tableshorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoSource-replica replication available in experimental statusSource-replica replication with eventual consistencyMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID for single-table writesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 and roles on table levelfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
KineticaMonetDBQuestDBSplunk
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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More resources
KineticaMonetDBQuestDBSplunk
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