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DBMS > Heroic vs. Netezza vs. PostGIS

System Properties Comparison Heroic vs. Netezza vs. PostGIS

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  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 PureSystemsSpatial extension of PostgreSQL
Primary database modelTime Series DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitegithub.com/­spotify/­heroicwww.ibm.com/­products/­netezzapostgis.net
Technical documentationspotify.github.io/­heroicpostgis.net/­documentation
DeveloperSpotifyIBM
Initial release201420002005
Current release3.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsLinux infoincluded in appliance
Data schemeschema-freeyesyes
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 Elasticsearchyesyes
SQL infoSupport of SQLnoyesyes
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
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptyes infobased on PostgreSQL

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More resources
HeroicNetezza infoAlso called PureData System for Analytics by IBMPostGIS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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