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DBMS > Hypertable vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Splice Machine vs. SQream DB

System Properties Comparison Hypertable vs. IBM Db2 warehouse vs. InterSystems IRIS vs. Splice Machine vs. SQream DB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Sparka GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelWide column storeRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational 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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-irissplicemachine.comsqream.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clssplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperHypertable Inc.IBMInterSystemsSplice MachineSQream Technologies
Initial release20092014201820142017
Current release0.9.8.11, March 20162023.3, June 20233.1, March 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesdepending on used data modelyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes, ANSI Standard SQL Types
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 possibleyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesno
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsC++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLyesyes infoJavauser defined functions in Python
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HypertableIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSplice MachineSQream DB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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HypertableIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISSplice MachineSQream DB
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