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DBMS > Drizzle vs. Heroic vs. IBM Cloudant vs. Kingbase vs. VictoriaMetrics

System Properties Comparison Drizzle vs. Heroic vs. IBM Cloudant vs. Kingbase vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKingbase  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDatabase as a Service offering based on Apache CouchDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­cloudantwww.kingbase.com.cnvictoriametrics.com
Technical documentationspotify.github.io/­heroiccloud.ibm.com/­docs/­Cloudantdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDrizzle project, originally started by Brian AkerSpotifyIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014BeiJing KINGBASE Information technologies inc.VictoriaMetrics
Initial release20082014201019992018
Current release7.2.4, September 2012V8.0, August 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangC and JavaGo
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyesno
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnonoStandard with numerous extensionsno
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP/JSON APIADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C++
Java
PHP
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoView functions (Map-Reduce) in JavaScriptuser defined functionsno
Triggersno infohooks for callbacks inside the server can be used.noyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
yesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users can be defined per databasefine grained access rights according to SQL-standard

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More resources
DrizzleHeroicIBM CloudantKingbaseVictoriaMetrics
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