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DBMS > dBASE vs. HyperSQL vs. Spark SQL vs. SQream DB

System Properties Comparison dBASE vs. HyperSQL vs. Spark SQL vs. SQream DB

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Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.dbase.comhsqldb.orgspark.apache.org/­sqlsqream.com
Technical documentationwww.dbase.com/­support/­knowledgebasehsqldb.org/­web/­hsqlDocsFrame.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperAsthon TateApache Software FoundationSQream Technologies
Initial release1979200120142017
Current releasedBASE 2019, 20192.7.2, June 20233.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licenseOpen 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 languageJavaScalaC++, CUDA, Haskell, Java, Scala
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesdBase proprietary IDEAll languages supporting JDBC/ODBC
Java
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.Java, SQLnouser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACIDnoACID
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.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
dBASEHyperSQL infoalso known as HSQLDBSpark SQLSQream DB
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