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DBMS > HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. ObjectBox vs. OpenQM

System Properties Comparison HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Microsoft Azure Table Storage vs. ObjectBox vs. OpenQM

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and MobileQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelRelational DBMSRelational DBMSWide column storeObject oriented DBMSMultivalue DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­synapse-analyticsazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationdocs.heavy.aidocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.io
DeveloperHEAVY.AI, Inc.MicrosoftMicrosoftObjectBox LimitedRocket Software, originally Martin Phillips
Initial release20162016201220171993
Current release5.10, January 20223.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoApache License 2.0Open Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C and C++
Server operating systemsLinuxhostedhostedAndroid
iOS
Linux
macOS
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemeyesyesschema-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.nonononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
PHP
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresnoTransact SQLnonoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding, horizontal partitioningSharding infoImplicit feature of the cloud servicenoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACIDACID
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights based on private key authentication or shared access signaturesyesAccess rights can be defined down to the item level
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StorageObjectBoxOpenQM infoalso called QM
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft Azure Table StorageObjectBoxOpenQM infoalso called QM
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