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DBMS > RethinkDB vs. Snowflake vs. Spark SQL vs. SurrealDB vs. Transbase

System Properties Comparison RethinkDB vs. Snowflake vs. Spark SQL vs. SurrealDB vs. Transbase

Editorial information provided by DB-Engines
NameRethinkDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionDBMS for the Web with a mechanism to push updated query results to applications in realtime.Cloud-based data warehousing service for structured and semi-structured dataSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Relational 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
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiterethinkdb.comwww.snowflake.comspark.apache.org/­sqlsurrealdb.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationrethinkdb.com/­docsdocs.snowflake.net/­manuals/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperThe Linux Foundation infosince July 2017Snowflake Computing Inc.Apache Software FoundationSurrealDB LtdTransaction Software GmbH
Initial release20092014201420221987
Current release2.4.1, August 20203.5.0 ( 2.13), September 2023v1.5.0, May 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Sourcecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaRustC and C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyesyesyesyes
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.noyesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
ODBC
JDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native 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
JavaScript (Node.js)
Python
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
TriggersClient-side triggers through changefeedsno infosimilar concept for controling cloud resourcesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding inforange basedyesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayes infoMVCC basedyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlyes infousers and table-level permissionsUsers with fine-grained authorization concept, user roles and pluggable authenticationnoyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
RethinkDBSnowflakeSpark SQLSurrealDBTransbase
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