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DBMS > Brytlyt vs. Hypertable vs. InterSystems IRIS vs. Kinetica vs. StarRocks

System Properties Comparison Brytlyt vs. Hypertable vs. InterSystems IRIS vs. Kinetica vs. StarRocks

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonHypertable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonStarRocks  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLAn open source BigTable implementation based on distributed file systems such as HadoopA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSWide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitebrytlyt.iowww.intersystems.com/­products/­intersystems-iriswww.kinetica.comwww.starrocks.io
Technical documentationdocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperBrytlytHypertable Inc.InterSystemsKineticaThe Linux Foundation infosince Feb 2023
Initial release20162009201820122020
Current release5.0, August 20230.9.8.11, March 20162023.3, June 20237.1, August 20212.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoApache Version 2.0
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, C++ and CUDAC++C, C++C++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
macOS
Ubuntu
Windows
LinuxLinux
Data schemeyesschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLyesnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
MySQL protocol
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesuser defined functionsuser defined functions
Triggersyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAccess rights for users and roles on table levelRole based access control and fine grained access rights
More information provided by the system vendor
BrytlytHypertableInterSystems IRISKineticaStarRocks
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BrytlytHypertableInterSystems IRISKineticaStarRocks
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