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DBMS > IBM Db2 warehouse vs. InterSystems IRIS vs. IRONdb vs. Prometheus vs. Splice Machine

System Properties Comparison IBM Db2 warehouse vs. InterSystems IRIS vs. IRONdb vs. Prometheus vs. Splice Machine

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonIRONdb  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.circonus.com/solutions/time-series-database/prometheus.iosplicemachine.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.circonus.com/irondb/category/getting-startedprometheus.io/­docssplicemachine.com/­how-it-works
DeveloperIBMInterSystemsCirconus LLC.Splice Machine
Initial release20142018201720152014
Current release2023.3, June 2023V0.10.20, January 20183.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoJava
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesdepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsNumeric data onlyyes
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.no infoImport/export of XML data possibleyesnono infoImport of XML data possible
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
HTTP APIRESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPL/SQL, SQL PLyesyes, in Luanoyes infoJava
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationconfigurable replication factor, datacenter awareyes infoby FederationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesnoneImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISIRONdbPrometheusSplice Machine
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
IBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISIRONdbPrometheusSplice Machine
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