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DBMS > Greenplum vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Teradata Aster

System Properties Comparison Greenplum vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. Teradata Aster

Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegreenplum.orggithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.greenplum.orgspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperPivotal Software Inc.SpotifyMicrosoftRocket Software, originally Martin PhillipsTeradata
Initial release20052014201619932005
Current release7.0.0, September 20233.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeyesschema-freeyesyes infowith some exceptionsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infosince Version 4.2nonoyesyes infoin Aster File Store
Secondary indexesyesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsJDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
Perl
Python
R
C#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoTransact SQLyesR packages
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
GreenplumHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMTeradata Aster
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