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DBMS > Drizzle vs. Newts vs. Quasardb vs. Splice Machine vs. Splunk

System Properties Comparison Drizzle vs. Newts vs. Quasardb vs. Splice Machine vs. Splunk

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  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 databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAnalytics Platform for Big Data
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSSearch 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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteopennms.github.io/­newtsquasar.aisplicemachine.comwww.splunk.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­mastersplicemachine.com/­how-it-worksdocs.splunk.com/­Documentation/­Splunk
DeveloperDrizzle project, originally started by Brian AkerOpenNMS GroupquasardbSplice MachineSplunk Inc.
Initial release20082014200920142003
Current release7.2.4, September 20123.14.1, January 20243.1, March 2021
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 Source infoAGPL 3.0, commercial license availablecommercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++Java
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
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.nonoyes
Secondary indexesyesnoyes infowith tagsyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query languageyesno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBCHTTP REST
Java API
HTTP APIJDBC
Native Spark Datasource
ODBC
HTTP REST
Supported programming languagesC
C++
Java
PHP
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyes infoJavayes
Triggersno infohooks for callbacks inside the server can be used.nonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar PartitioningSharding
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 factorMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationYes, via Full Spark Integrationyes
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 integrityyesnonoyesno
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, multi-version concurrency control (MVCC)yes
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 modeyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
DrizzleNewtsQuasardbSplice MachineSplunk
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