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DBMS > Heroic vs. mSQL vs. OpenQM vs. Spark SQL

System Properties Comparison Heroic vs. mSQL vs. OpenQM vs. Spark SQL

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchmSQL (Mini SQL) is a simple and lightweight RDBMSQpenQM is a high-performance, self-tuning, multi-value DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­spotify/­heroichughestech.com.au/­products/­msqlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmspark.apache.org/­sql
Technical documentationspotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSpotifyHughes TechnologiesRocket Software, originally Martin PhillipsApache Software Foundation
Initial release2014199419932014
Current release4.4, October 20213.4-123.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree licenses can be providedOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCScala
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infowith some exceptionsyes
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.nonoyesno
Secondary indexesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
noneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno

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More resources
HeroicmSQL infoMini SQLOpenQM infoalso called QMSpark SQL
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