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DBMS > HyperSQL vs. Sequoiadb vs. Spark SQL vs. Transwarp KunDB

System Properties Comparison HyperSQL vs. Sequoiadb vs. Spark SQL vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitehsqldb.orgwww.sequoiadb.comspark.apache.org/­sqlwww.transwarp.cn/­en/­product/­kundb
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSequoiadb Ltd.Apache Software FoundationTranswarp
Initial release200120132014
Current release2.7.2, June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Scala
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyesyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava, SQLJavaScriptnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlnoyes

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More resources
HyperSQL infoalso known as HSQLDBSequoiadbSpark SQLTranswarp KunDB
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