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DBMS > Hyprcubd vs. Spark SQL vs. VelocityDB

System Properties Comparison Hyprcubd vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionServerless Time Series DBMSSpark 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 DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Score0.04
Rank#324  Overall
#32  Graph DBMS
#18  Object oriented DBMS
Websitehyprcubd.comspark.apache.org/­sqlvelocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationVelocityDB Inc
Initial release20142011
Current release3.2.0, October 20217.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC#
Server operating systemshostedLinux
OS X
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)JDBC
ODBC
.Net
Supported programming languagesJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnonono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controltoken accessnoBased on Windows Authentication

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More resources
HyprcubdSpark SQLVelocityDB
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