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DBMS > Drizzle vs. Newts vs. Quasardb vs. Realm vs. Splunk

System Properties Comparison Drizzle vs. Newts vs. Quasardb vs. Realm vs. Splunk

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonRealm  Xexclude from comparisonSplunk  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 based on CassandraDistributed, high-performance timeseries databaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAnalytics Platform for Big Data
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score89.10
Rank#14  Overall
#2  Search engines
Websiteopennms.github.io/­newtsquasar.airealm.iowww.splunk.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterrealm.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperDrizzle project, originally started by Brian AkerOpenNMS GroupquasardbRealm, acquired by MongoDB in May 2019Splunk Inc.
Initial release20082014200920142003
Current release7.2.4, September 20123.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Sourcecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nononoyes
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query languagenono infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBCHTTP REST
Java API
HTTP APIHTTP REST
Supported programming languagesC
C++
Java
PHP
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessaryyes
Triggersno infohooks for callbacks inside the server can be used.nonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication with selectable replication factornoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infoIn-Memory realmno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoCryptographically strong user authentication and audit trailyesAccess rights for users and roles

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More resources
DrizzleNewtsQuasardbRealmSplunk
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