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DBMS > InterSystems IRIS vs. Kdb+ vs. Splice Machine

System Properties Comparison InterSystems IRIS vs. Kdb+ vs. Splice Machine

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonKdb+  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityHigh performance Time Series DBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#131  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#65  Relational DBMS
Score8.00
Rank#54  Overall
#2  Time Series DBMS
Score0.79
Rank#197  Overall
#97  Relational DBMS
Websitewww.intersystems.com/­products/­intersystems-iriskx.comsplicemachine.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clscode.kx.comdoc.splicemachine.com
DeveloperInterSystemsKx Systems, a division of First Derivatives plcSplice Machine
Initial release20182000 infokdb was released 2000, kdb+ in 20032014
Current release2021.1, June 20213.6, May 20183.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqJava
Server operating systemsAIX
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyes
Secondary indexesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyesSQL-like query language (q)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyes infoJava
Triggersyesyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesrights management via user accountsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
InterSystems IRISKdb+Splice Machine
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InterSystems IRISKdb+Splice Machine
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

InterSystems IRIS® FHIR® Accelerator Service Enables Easy Retrieval and Storage of Healthcare Data
20 September 2021, Business Wire

InterSystems announces IRIS FHIR Accelerator Service
23 September 2021, Healthcare IT News

InterSystems shares vision for innovations in data at Virtual Summit 2021
19 October 2021, iTWire

Latest Release of InterSystems IRIS Data Platform Provides Next Step in Data Fabric Adoption
17 June 2021, Business Wire

InterSystems IRIS Data Platform Available as Fully Managed Service for AWS
17 March 2021, Business Wire

provided by Google News

Alpine F1 Team Signs Global Enterprise Deal For KX Insights
6 October 2021, PRNewswire

Speedy Column-Store ClickHouse Spins Out from Yandex, Raises $50M
24 September 2021, Datanami

The coding language you can learn in months for top finance jobs
26 July 2021, eFinancialCareers

Time Series Databases Software Market Statistics by Industry Dynamics & SWOT Analysis | Axibase Time Series Database, Prometheus, Amazon Timestream, Warp 10, InfluxDB, etc – Puck77
19 October 2021, Puck77

Weka Sets 6 Records on STAC-M3 With WekaFS Parallel File System on Amazon EC2
8 June 2021, Business Wire

provided by Google News

Splice Machine Announces New Capabilities to Support Real-Time AI with Version 3.1 of its Scale-Out SQL Database
9 March 2021, PRNewswire

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PRNewswire

Splice Machine 3.0 integrates machine learning capabilities, database
6 March 2020, TechTarget

Splice Machine database travels full circle to predictive application platform
25 September 2017, ZDNet

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