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DBMS > Hyprcubd vs. IBM Db2 vs. Microsoft Azure Table Storage vs. Spark SQL vs. VelocityDB

System Properties Comparison Hyprcubd vs. IBM Db2 vs. Microsoft Azure Table Storage vs. Spark SQL vs. VelocityDB

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSCommon in IBM host environments, 2 different versions for host and Windows/LinuxA Wide Column Store for rapid development using massive semi-structured datasetsSpark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBWide column storeRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitehyprcubd.com (offline)www.ibm.com/­products/­db2azure.microsoft.com/­en-us/­services/­storage/­tablesspark.apache.org/­sqlvelocitydb.com
Technical documentationwww.ibm.com/­docs/­en/­db2spark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.IBMMicrosoftApache Software FoundationVelocityDB Inc
Initial release1983 infohost version201220142011
Current release12.1, October 20163.5.0 ( 2.13), September 20237.x
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++ScalaC#
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedLinux
OS X
Windows
Any that supports .NET
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyesyes
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.nononono
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP APIJDBC
ODBC
.Net
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnoyesnonono
TriggersnoyesnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud serviceyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
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.nononoyes
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesnoBased on Windows Authentication

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More resources
HyprcubdIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Table StorageSpark SQLVelocityDB
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