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DBMS > Apache Druid vs. H2 vs. VictoriaMetrics

System Properties Comparison Apache Druid vs. H2 vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonH2  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedruid.apache.orgwww.h2database.comvictoriametrics.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.h2database.com/­html/­main.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsThomas MuellerVictoriaMetrics
Initial release201220052018
Current release29.0.1, April 20242.2.220, July 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsLinux
OS X
Unix
All OS with a Java VMFreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-less columns are supportedyes
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 indexesyesyes
SQL infoSupport of SQLSQL for queryingyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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 controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard

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More resources
Apache DruidH2VictoriaMetrics
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