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DBMS > Heroic vs. Kdb vs. Kinetica vs. OpenQM vs. SQream DB

System Properties Comparison Heroic vs. Kdb vs. Kinetica vs. OpenQM vs. SQream DB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegithub.com/­spotify/­heroickx.comwww.kinetica.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsqream.com
Technical documentationspotify.github.io/­heroiccode.kx.comdocs.kinetica.comdocs.sqream.com
DeveloperSpotifyKx Systems, a division of First Derivatives plcKineticaRocket Software, originally Martin PhillipsSQream Technologies
Initial release20142000 infokdb was released 2000, kdb+ in 2003201219932017
Current release3.6, May 20187.1, August 20213.4-122022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree 32-bit versioncommercialOpen Source infoGPLv2, extended commercial license availablecommercial
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 languageJavaqC, C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesyesyesyes, 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.noyesnoyes
Secondary indexesyes infovia Elasticsearchyes infotable attribute 'grouped'yesyesno
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like DML and DDL statementsnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsyesuser defined functions in Python
Triggersnoyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingyeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlrights management via user accountsAccess rights for users and roles on table levelAccess rights can be defined down to the item level
More information provided by the system vendor
HeroicKdbKineticaOpenQM infoalso called QMSQream DB
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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More resources
HeroicKdbKineticaOpenQM infoalso called QMSQream DB
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