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DBMS > Hyprcubd vs. Kuzu vs. OpenEdge vs. Spark SQL vs. STSdb

System Properties Comparison Hyprcubd vs. Kuzu vs. OpenEdge vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonKuzu  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSAn embeddable property Graph DBMS built for query speed and scalabilityApplication development environment with integrated database management systemSpark 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 method
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#402  Overall
#41  Graph DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehyprcubd.com (offline)kuzudb.comwww.progress.com/­openedgespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.kuzudb.comdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.Progress Software CorporationApache Software FoundationSTS Soft SC
Initial release2022198420142011
Current release0.4.2, May 2024OpenEdge 12.2, March 20203.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoMIT licensecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++ScalaC#
Server operating systemshostedserver-lessAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyesyes infoprimitive types and user defined types (classes)
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.nonoyesno
Secondary indexesnonoyesnono
SQL infoSupport of SQLSQL-like query languagenoyes infoclose to SQL 92SQL-like DML and DDL statementsno
APIs and other access methodsgRPC (https)CLI Client
Cypher Query Language
JDBC
ODBC
JDBC
ODBC
.NET Client API
Supported programming languagesC
C#
C++
Java
JavaScript
Python
Rust
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4yes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datanoyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controltoken accessnoUsers and groupsnono

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More resources
HyprcubdKuzuOpenEdgeSpark SQLSTSdb
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