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DBMS > Apache Kylin vs. Geode vs. VictoriaMetrics

System Properties Comparison Apache Kylin vs. Geode vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGeode  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitekylin.apache.orggeode.apache.orgvictoriametrics.com
Technical documentationkylin.apache.org/­docsgeode.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation, originally contributed from eBay IncOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.VictoriaMetrics
Initial release201520022018
Current release3.1.0, July 20201.1, February 2017v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP 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
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights per client and object definable

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More resources
Apache KylinGeodeVictoriaMetrics
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