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DBMS > Apache Spark (SQL) vs. EsgynDB vs. HyperSQL

System Properties Comparison Apache Spark (SQL) vs. EsgynDB vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonEsgynDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.39
Rank#32  Overall
#20  Relational DBMS
Score0.16
Rank#324  Overall
#145  Relational DBMS
Score2.95
Rank#90  Overall
#48  Relational DBMS
Websitespark.apache.org/­sqlwww.esgyn.cnhsqldb.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software FoundationEsgyn
Initial release201420152001
Current release3.5.0 ( 2.13), September 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, JavaJava
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesJava
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetAll languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresnoJava Stored ProceduresJava, SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache Spark (SQL)EsgynDBHyperSQL infoalso known as HSQLDB
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