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

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

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionServerless Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSKey-value storeGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#353  Overall
#34  Time Series DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.14
Rank#300  Overall
#43  Key-value stores
Score0.10
Rank#310  Overall
#29  Graph DBMS
#17  Object oriented DBMS
Websitehyprcubd.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4velocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationSTS Soft SCVelocityDB Inc
Initial release201420112011
Current release3.1.1, March 20214.0.8, September 20157.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC#C#
Server operating systemshostedLinux
OS X
Windows
WindowsAny that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes infoprimitive types and user defined types (classes)yes
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 statementsnono
APIs and other access methodsgRPC (https)JDBC
ODBC
.NET Client API.Net
Supported programming languagesJava
Python
R
Scala
C#
Java
.Net
Server-side scripts infoStored proceduresnononono
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
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 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 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 accessnonoBased on Windows Authentication

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More resources
HyprcubdSpark SQLSTSdbVelocityDB
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