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DBMS > Spark SQL vs. SQream DB vs. Transbase

System Properties Comparison Spark SQL vs. SQream DB vs. Transbase

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloadsA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.39
Rank#34  Overall
#20  Relational DBMS
Score0.72
Rank#207  Overall
#102  Relational DBMS
Score0.26
Rank#279  Overall
#129  Relational DBMS
Websitespark.apache.org/­sqlsqream.comwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.comwww.transaction.de/­en/­transbase-inside
DeveloperApache Software FoundationSQream TechnologiesTransaction Software GmbH
Initial release201420141987
Current release3.1.1, March 20212020.2, July 2020Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++, CUDA, HaskellC and C++
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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 indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesJava
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions in Pythonyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Spark SQLSQream DBTransbase
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