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DBMS > Heroic vs. Netezza vs. OpenQM vs. OpenTenBase

System Properties Comparison Heroic vs. Netezza vs. OpenQM vs. OpenTenBase

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOpenTenBase  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchData warehouse and analytics appliance part of IBM PureSystemsQpenQM is a high-performance, self-tuning, multi-value DBMSAn enterprise-level distributed HTAP open source database based on PostgreSQL
Primary database modelTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­netezzawww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
Technical documentationspotify.github.io/­heroicdocs.opentenbase.org
docs.opentenbase.org/­en
DeveloperSpotifyIBMRocket Software, originally Martin PhillipsOpenAtom Foundation, previously Tencent
Initial release201420001993
Current release3.4-122.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux infoincluded in applianceAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
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.noyes
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
C
Go
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
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.no
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
HeroicNetezza infoAlso called PureData System for Analytics by IBMOpenQM infoalso called QMOpenTenBase
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

provided by Google News

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
12 August 2020, IBM

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

provided by Google News



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