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DBMS > PlanetScale vs. RethinkDB vs. TimescaleDB vs. Trafodion

System Properties Comparison PlanetScale vs. RethinkDB vs. TimescaleDB vs. Trafodion

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Editorial information provided by DB-Engines
NamePlanetScale  Xexclude from comparisonRethinkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable, distributed, serverless MySQL database platform built on top of VitessDBMS for the Web with a mechanism to push updated query results to applications in realtime.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteplanetscale.comrethinkdb.comwww.timescale.comtrafodion.apache.org
Technical documentationplanetscale.com/­docsrethinkdb.com/­docsdocs.timescale.comtrafodion.apache.org/­documentation.html
DeveloperPlanetScaleThe Linux Foundation infosince July 2017TimescaleApache Software Foundation, originally developed by HP
Initial release2020200920172014
Current release2.4.1, August 20202.15.0, May 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++CC++, Java
Server operating systemsDocker
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometrynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C 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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoproprietary syntaxuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellJava Stored Procedures
TriggersyesClient-side triggers through changefeedsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with hot standby and reads on replicas infoyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at shard levelAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes infoMVCC basedyesyes
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.yesnonono
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesyes infousers and table-level permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
PlanetScaleRethinkDBTimescaleDBTrafodion
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