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DBMS > Hyprcubd vs. Spark SQL vs. SQream DB vs. VelocityDB

System Properties Comparison Hyprcubd vs. Spark SQL vs. SQream DB vs. VelocityDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonVelocityDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehyprcubd.com (offline)spark.apache.org/­sqlsqream.comvelocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.comvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationSQream TechnologiesVelocityDB Inc
Initial release201420172011
Current release3.5.0 ( 2.13), September 20232022.1.6, December 20227.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC++, CUDA, Haskell, Java, ScalaC#
Server operating systemshostedLinux
OS X
Windows
LinuxAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes, ANSI Standard SQL Typesyes
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 indexesnononoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (https)JDBC
ODBC
.Net
JDBC
ODBC
.Net
Supported programming languagesJava
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnonouser defined functions in Pythonno
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 SQLSQream DBVelocityDB
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