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DBMS > Hyprcubd vs. OpenEdge vs. Spark SQL vs. STSdb vs. Transwarp Hippo

System Properties Comparison Hyprcubd vs. OpenEdge vs. Spark SQL vs. STSdb vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonOpenEdge  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSApplication 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 methodCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.05
Rank#386  Overall
#14  Vector DBMS
Websitehyprcubd.com (offline)www.progress.com/­openedgespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.Progress Software CorporationApache Software FoundationSTS Soft SC
Initial release1984201420112023
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 20234.0.8, September 20151.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScalaC#C++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
WindowsLinux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyesyes infoprimitive types and user defined types (classes)Vector, Numeric and String
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.noyesnono
Secondary indexesnoyesnonono
SQL infoSupport of SQLSQL-like query languageyes infoclose to SQL 92SQL-like DML and DDL statementsnono
APIs and other access methodsgRPC (https)JDBC
ODBC
JDBC
ODBC
.NET Client APIRESTful HTTP API
Supported programming languagesProgress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
C#
Java
C++
Java
Python
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infosince Version 11.4yes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-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 integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
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.nononoyes
User concepts infoAccess controltoken accessUsers and groupsnonoRole based access control and fine grained access rights

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More resources
HyprcubdOpenEdgeSpark SQLSTSdbTranswarp Hippo
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