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DBMS > Hyprcubd vs. Ingres vs. LevelDB vs. Spark SQL

System Properties Comparison Hyprcubd vs. Ingres vs. LevelDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitehyprcubd.com (offline)www.actian.com/­databases/­ingresgithub.com/­google/­leveldbspark.apache.org/­sql
Technical documentationdocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.Actian CorporationGoogleApache Software Foundation
Initial release1974 infooriginally developed at University Berkely in early 1970s20112014
Current release11.2, May 20221.23, February 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++Scala
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesnoyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statements
APIs and other access methodsgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesIngres Replicatornonenone
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datanoyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controltoken accessfine grained access rights according to SQL-standardnono

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HyprcubdIngresLevelDBSpark SQL
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