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DBMS > Spark SQL vs. STSdb vs. Transbase vs. Transwarp Hippo

System Properties Comparison Spark SQL vs. STSdb vs. Transbase vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonTransbase  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA resource-optimized, high-performance, universally applicable RDBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMSKey-value storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitespark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.transaction.de/­en/­products/­transbase.htmlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationSTS Soft SCTransaction Software GmbH
Initial release2014201119872023
Current release3.5.0 ( 2.13), September 20234.0.8, September 2015Transbase 8.3, 20221.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC#C and C++C++
Server operating systemsLinux
OS X
Windows
WindowsFreeBSD
Linux
macOS
Solaris
Windows
Linux
macOS
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoprimitive types and user defined types (classes)yesVector, Numeric and String
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 indexesnonoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBC
ODBC
.NET Client APIADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languagesJava
Python
R
Scala
C#
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C++
Java
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesno
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.nonoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardRole based access control and fine grained access rights

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More resources
Spark SQLSTSdbTransbaseTranswarp Hippo
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