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DBMS > HyperSQL vs. LeanXcale vs. Newts vs. Spark SQL

System Properties Comparison HyperSQL vs. LeanXcale vs. Newts vs. Spark SQL

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonNewts  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTime Series DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.30
Rank#83  Overall
#45  Relational DBMS
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitehsqldb.orgwww.leanxcale.comopennms.github.io/­newtsspark.apache.org/­sql
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­OpenNMS/­newts/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperLeanXcaleOpenNMS GroupApache Software Foundation
Initial release2001201520142014
Current release2.7.2, June 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScala
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
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 indexesyesnono
SQL infoSupport of SQLyesyes infothrough Apache DerbynoSQL-like DML and DDL statements
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST
Java API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C
Java
Scala
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresJava, SQLnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
HyperSQL infoalso known as HSQLDBLeanXcaleNewtsSpark SQL
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