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DBMS > Drizzle vs. Kdb vs. Machbase Neo vs. Splice Machine

System Properties Comparison Drizzle vs. Kdb vs. Machbase Neo vs. Splice Machine

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKdb  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSplice Machine  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.High performance Time Series DBMSTimeSeries DBMS for AIoT and BigDataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitekx.commachbase.comsplicemachine.com
Technical documentationcode.kx.commachbase.com/­dbmssplicemachine.com/­how-it-works
DeveloperDrizzle project, originally started by Brian AkerKx Systems, a division of First Derivatives plcMachbaseSplice Machine
Initial release20082000 infokdb was released 2000, kdb+ in 200320132014
Current release7.2.4, September 20123.6, May 2018V8.0, August 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree 32-bit versioncommercial infofree test version availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++qCJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
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.yesno
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language (q)SQL-like query languageyes
APIs and other access methodsJDBCHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoJava
Triggersno infohooks for callbacks inside the server can be used.yes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountssimple password-based access controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DrizzleKdbMachbase Neo infoFormer name was InfinifluxSplice Machine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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More resources
DrizzleKdbMachbase Neo infoFormer name was InfinifluxSplice Machine
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