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

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

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.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 modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitegithub.com/­boltdb/­bolthsqldb.orgspark.apache.org/­sqlsqream.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperApache Software FoundationSQream Technologies
Initial release2013200120142017
Current release2.7.2, June 20233.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen 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 languageGoJavaScalaC++, CUDA, Haskell, Java, Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes, 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.nonono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesGoAll languages supporting JDBC/ODBC
Java
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, 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 systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
BoltDBHyperSQL infoalso known as HSQLDBSpark SQLSQream DB
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