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

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

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonVitess  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA 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)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSWide column storeRelational DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehyprcubd.com (offline)azure.microsoft.com/­en-us/­services/­storage/­tablesspark.apache.org/­sqlvelocitydb.comvitess.io
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuidevitess.io/­docs
DeveloperHyprcubd, Inc.MicrosoftApache Software FoundationVelocityDB IncThe Linux Foundation, PlanetScale
Initial release2012201420112013
Current release3.5.0 ( 2.13), September 20237.x15.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaC#Go
Server operating systemshostedhostedLinux
OS X
Windows
Any that supports .NETDocker
Linux
macOS
Data schemeyesschema-freeyesyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsgRPC (https)RESTful HTTP APIJDBC
ODBC
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonononoyes infoproprietary syntax
TriggersnononoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes infotable locks or row locks depending on storage engine
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.nononoyesyes
User concepts infoAccess controltoken accessAccess rights based on private key authentication or shared access signaturesnoBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
HyprcubdMicrosoft Azure Table StorageSpark SQLVelocityDBVitess
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