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DBMS > Kinetica vs. RRDtool vs. SingleStore vs. Splunk

System Properties Comparison Kinetica vs. RRDtool vs. SingleStore vs. Splunk

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRRDtool  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeAnalytics Platform for Big Data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1.70
Rank#136  Overall
#11  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.kinetica.comoss.oetiker.ch/­rrdtoolwww.singlestore.comwww.splunk.com
Technical documentationdocs.kinetica.comoss.oetiker.ch/­rrdtool/­docdocs.singlestore.comdocs.splunk.com/­Documentation/­Splunk
DeveloperKineticaTobias OetikerSingleStore Inc.Splunk Inc.
Initial release2012199920132003
Current release7.1, August 20211.8.0, 20228.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V2 and FLOSScommercial infofree developer edition availablecommercial 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++C infoImplementations in Java (e.g. RRD4J) and C# availableC++, Go
Server operating systemsLinuxHP-UX
Linux
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 infoExporting into and restoring from XML files possiblenoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keysno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
in-process shared library
Pipes
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP REST
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnoyesyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoFine grained access control via users, groups and rolesAccess rights for users and roles

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More resources
KineticaRRDtoolSingleStore infoformer name was MemSQLSplunk
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Recent citations in the news

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
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