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DBMS > GeoSpock vs. GigaSpaces vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM

System Properties Comparison GeoSpock vs. GigaSpaces vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime 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 DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSMultivalue DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitegeospock.comwww.gigaspaces.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperGeoSpockGigaspaces TechnologiesSpotifyMicrosoftRocket Software, originally Martin Phillips
Initial release2000201420161993
Current release2.0, September 201915.5, September 20203.4-12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJava, C++, .NetJavaC++
Server operating systemshostedLinux
macOS
Solaris
Windows
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes infowith some exceptions
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.nono infoXML can be used for describing objects metadatanonoyes
Secondary indexestemporal, categoricalyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-99 for query and DML statementsnoyesno
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoyesnoTransact SQLyes
Triggersnoyes, event driven architecturenonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per tableRole-based access controlyesAccess rights can be defined down to the item level

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More resources
GeoSpockGigaSpacesHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QM
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