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

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

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonXTDB infoformerly named Crux  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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitehyprcubd.com (offline)spark.apache.org/­sqlvelocitydb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuidewww.xtdb.com/­docs
DeveloperHyprcubd, Inc.Apache Software FoundationVelocityDB IncJuxt Ltd.
Initial release201420112019
Current release3.5.0 ( 2.13), September 20237.x1.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC#Clojure
Server operating systemshostedLinux
OS X
Windows
Any that supports .NETAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes, extensible-data-notation format
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 statementsnolimited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (https)JDBC
ODBC
.NetHTTP REST
JDBC
Supported programming languagesJava
Python
R
Scala
.NetClojure
Java
Server-side scripts infoStored proceduresnononono
TriggersnonoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, each node contains all data
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 datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 SQLVelocityDBXTDB infoformerly named Crux
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