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DBMS > Heroic vs. Linter vs. OpenQM vs. Teradata

System Properties Comparison Heroic vs. Linter vs. OpenQM vs. Teradata

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLinter  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchRDBMS for high security requirementsQpenQM is a high-performance, self-tuning, multi-value DBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial 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
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­spotify/­heroiclinter.ruwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.teradata.com
Technical documentationspotify.github.io/­heroicdocs.teradata.com
DeveloperSpotifyrelex.ruRocket Software, originally Martin PhillipsTeradata
Initial release2014199019931984
Current release3.4-12Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
hosted
Linux
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.nonoyesyes
Secondary indexesyes infovia Elasticsearchyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoyes infoSQL 2016 + extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
HeroicLinterOpenQM infoalso called QMTeradata
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

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