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DBMS > RethinkDB vs. Spark SQL vs. Transbase vs. Ultipa

System Properties Comparison RethinkDB vs. Spark SQL vs. Transbase vs. Ultipa

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Editorial information provided by DB-Engines
NameRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiterethinkdb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlwww.ultipa.com
Technical documentationrethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmlwww.ultipa.com/­document
DeveloperThe Linux Foundation infosince July 2017Apache Software FoundationTransaction Software GmbHUltipa
Initial release2009201419872019
Current release2.4.1, August 20203.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree development licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
Supported programming languagesC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes
TriggersClient-side triggers through changefeedsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
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 dataAtomic single-document operationsnoyes
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyesyes
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.nonono
User concepts infoAccess controlyes infousers and table-level permissionsnofine grained access rights according to SQL-standard

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More resources
RethinkDBSpark SQLTransbaseUltipa
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An introduction to building realtime apps with RethinkDB
9 July 2022, devmio

How to Use RethinkDB with Node.js Applications — SitePoint
16 December 2015, SitePoint

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RethinkDB is dead, and MongoDB isn't what killed it
24 January 2017, TechRepublic

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23 May 2016, ADT Magazine

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17 March 2024, Yahoo Singapore News

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