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DBMS > Kinetica vs. VictoriaMetrics

System Properties Comparison Kinetica vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#247  Overall
#116  Relational DBMS
Score1.55
Rank#140  Overall
#12  Time Series DBMS
Websitewww.kinetica.comvictoriametrics.com
Technical documentationdocs.kinetica.comdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperKineticaVictoriaMetrics
Initial release20122018
Current release7.1, August 2021v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Go
Server operating systemsLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyes
Typing infopredefined data types such as float or dateyes
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
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table level

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More resources
KineticaVictoriaMetrics
Recent citations in the news

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

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks and Files

GPU Database Market Size, Share & Trends Report, 2030
29 July 2024, Grand View Research

Kinetica: Fusing Geospatial And Time-Series Data Sets And Processing Spatiotemporal Analytics
26 July 2023, Pulse 2.0

How GPUs Are Helping Paris’ Public Hospital System Combat the Spread of COVID-19
15 October 2020, NVIDIA Blog

provided by Google News

VictoriaMetrics helps IHI Terrasun win big in Vegas on $1.2B clean energy project
18 December 2024, Business Wire

Prezi's Journey from Prometheus to VictoriaMetrics
11 February 2025, infoq.com

Open source biz promises to slash bills with observability-as-a-service in the cloud
20 August 2024, theregister.com

VictoriaMetrics Cloud promises five times cheaper database monitoring
20 August 2024, techzine.eu

VictoriaMetrics Efficiently Simplifies Log Complexity with VictoriaLogs
13 November 2024, Response Source Press Release Wire

provided by Google News



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