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DBMS > Geode vs. Kinetica vs. TerarkDB vs. VictoriaMetrics

System Properties Comparison Geode vs. Kinetica vs. TerarkDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelKey-value storeRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.63
Rank#137  Overall
#25  Key-value stores
Score0.73
Rank#205  Overall
#101  Relational DBMS
Score0.05
Rank#326  Overall
#51  Key-value stores
Score0.59
Rank#227  Overall
#16  Time Series DBMS
Websitegeode.apache.orgwww.kinetica.comgithub.com/­Terark/­terarkdbvictoriametrics.com
Technical documentationgeode.apache.org/­docswww.kinetica.com/­docsgithub.com/­Terark/­terarkdb/­wikidocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaTerarkVictoriaMetrics
Initial release2002201220162018
Current release1.1, February 20177.1, August 2021v1.63, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
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 languageJavaC, C++C++Go
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nononono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like DML and DDL statementsnono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenonono
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.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelno
More information provided by the system vendor
GeodeKineticaTerarkDBVictoriaMetrics
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
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Specifically designed for highly loaded workloads Addresses most of the scalability...
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Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
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Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Grammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
VictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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GeodeKineticaTerarkDBVictoriaMetrics
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