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DBMS > Drizzle vs. openGauss vs. Realm vs. Sqrrl vs. VictoriaMetrics

System Properties Comparison Drizzle vs. openGauss vs. Realm vs. Sqrrl vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonopenGauss  Xexclude from comparisonRealm  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAdaptable, secure NoSQL built on Apache AccumuloA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitegitee.com/­opengauss
opengauss.org
realm.iosqrrl.comvictoriametrics.com
Technical documentationdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
realm.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperDrizzle project, originally started by Brian AkerHuawei and openGauss communityRealm, acquired by MongoDB in May 2019Amazon infooriginally Sqrrl Data, Inc.VictoriaMetrics
Initial release20082019201420122018
Current release7.2.4, September 20123.0, March 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen SourceOpen SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++, JavaJavaGo
Server operating systemsFreeBSD
Linux
OS X
LinuxAndroid
Backend: server-less
iOS
Windows
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL 2011nonono
APIs and other access methodsJDBCJDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C++
Java
PHP
C
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesno inforuns within the applications so server-side scripts are unnecessarynono
Triggersno infohooks for callbacks inside the server can be used.yesyes infoChange Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)noneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneselectable replication factor infomaking use of HadoopSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoIn-Memory realmno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
DrizzleopenGaussRealmSqrrlVictoriaMetrics
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