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DBMS > Hyprcubd vs. NSDb vs. Spark SQL vs. VelocityDB

System Properties Comparison Hyprcubd vs. NSDb vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonNSDb  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 DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark 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 DBMSTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehyprcubd.com (offline)nsdb.iospark.apache.org/­sqlvelocitydb.com
Technical documentationnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationVelocityDB Inc
Initial release201720142011
Current release3.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ScalaScalaC#
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
Any that supports .NET
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes: int, bigint, decimal, 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.nononono
Secondary indexesnoall fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)gRPC
HTTP REST
WebSocket
JDBC
ODBC
.Net
Supported programming languagesJava
Scala
Java
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnononono
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
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
HyprcubdNSDbSpark SQLVelocityDB
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