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

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

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  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 fully ACID transactional, developer-friendly, multi-model DBMSA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSDocument store
Graph DBMS
Graph 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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitehyprcubd.com (offline)spark.apache.org/­sqlsurrealdb.comvelocitydb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docsvelocitydb.com/­UserGuide
DeveloperHyprcubd, Inc.Apache Software FoundationSurrealDB LtdVelocityDB Inc
Initial release201420222011
Current release3.5.0 ( 2.13), September 2023v1.5.0, May 20247.x
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaRustC#
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
Any that supports .NET
Data schemeyesyesschema-freeyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsgRPC (https)JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
.Net
Supported programming languagesJava
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
.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 methodsnonono
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 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 accessnoyes, based on authentication and database rulesBased on Windows Authentication

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More resources
HyprcubdSpark SQLSurrealDBVelocityDB
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