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DBMS > Apache Druid vs. Quasardb vs. RisingWave vs. VictoriaMetrics

System Properties Comparison Apache Druid vs. Quasardb vs. RisingWave vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonQuasardb  Xexclude from comparisonRisingWave  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, high-performance timeseries databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitedruid.apache.orgquasar.aiwww.risingwave.com/­databasevictoriametrics.com
Technical documentationdruid.apache.org/­docs/­latest/­designdoc.quasar.ai/­masterdocs.risingwave.com/­docs/­current/­introdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsquasardbRisingWave LabsVictoriaMetrics
Initial release2012200920222018
Current release29.0.1, April 20243.14.1, January 20241.2, September 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0Open 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++RustGo
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
Docker
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryStandard SQL-types and JSON
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 indexesyesyes infowith tagsyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP APIJDBC
PostgreSQL wire protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoUDFs in Python or Javano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication with selectable replication factorSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemCryptographically strong user authentication and audit trailUsers and Roles

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More resources
Apache DruidQuasardbRisingWaveVictoriaMetrics
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