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DBMS > Hyprcubd vs. RisingWave vs. Sequoiadb vs. Spark SQL

System Properties Comparison Hyprcubd vs. RisingWave vs. Sequoiadb vs. Spark SQL

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonRisingWave  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA distributed RDBMS for stream processing, wire-compatible with PostgreSQLNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehyprcubd.com (offline)www.risingwave.com/­databasewww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.risingwave.com/­docs/­current/­introwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.RisingWave LabsSequoiadb Ltd.Apache Software Foundation
Initial release202220132014
Current release1.2, September 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
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 languageGoRustC++Scala
Server operating systemshostedDocker
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringStandard SQL-types and JSONyes infooid, date, timestamp, binary, regexyes
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsgRPC (https)JDBC
PostgreSQL wire protocol
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoUDFs in Python or JavaJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datanoyesyes
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.noyesnono
User concepts infoAccess controltoken accessUsers and Rolessimple password-based access controlno

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HyprcubdRisingWaveSequoiadbSpark SQL
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