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

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

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  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 processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisA .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
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehyprcubd.com (offline)spark.apache.org/­sqlwww.starrocks.iovelocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationThe Linux Foundation infosince Feb 2023VelocityDB Inc
Initial release201420202011
Current release3.5.0 ( 2.13), September 20232.5.3, March 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC++, JavaC#
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, stringyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesno
APIs and other access methodsgRPC (https)JDBC
ODBC
JDBC
MySQL protocol
.Net
Supported programming languagesJava
Python
R
Scala
Java.Net
Server-side scripts infoStored proceduresnonouser defined functionsno
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning (by range and hash)Sharding
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 ConsistencyImmediate 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.nononoyes
User concepts infoAccess controltoken accessnoRole based access control and fine grained access rightsBased on Windows Authentication

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More resources
HyprcubdSpark SQLStarRocksVelocityDB
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