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DBMS > H2 vs. HyperSQL vs. Spark SQL

System Properties Comparison H2 vs. HyperSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.95
Rank#50  Overall
#30  Relational DBMS
Score4.84
Rank#74  Overall
#41  Relational DBMS
Score20.84
Rank#34  Overall
#20  Relational DBMS
Websitewww.h2database.comhsqldb.orgspark.apache.org/­sql
Technical documentationwww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperThomas MuellerApache Software Foundation
Initial release200520012014
Current release1.4.200, October 20192.6.0, March 20213.1.1, March 2021
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScala
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Supported programming languagesJavaAll languages supporting JDBC/ODBC
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsJava, SQLno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
H2HyperSQL infoalso known as HSQLDBSpark SQL
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