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DBMS > atoti vs. RethinkDB vs. Spark SQL vs. STSdb vs. SurrealDB

System Properties Comparison atoti vs. RethinkDB vs. Spark SQL vs. STSdb vs. SurrealDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.DBMS 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 processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelObject oriented DBMSDocument storeRelational DBMSKey-value storeDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteatoti.iorethinkdb.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4surrealdb.com
Technical documentationdocs.atoti.iorethinkdb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperActiveViamThe Linux Foundation infosince July 2017Apache Software FoundationSTS Soft SCSurrealDB Ltd
Initial release2009201420112022
Current release2.4.1, August 20203.5.0 ( 2.13), September 20234.0.8, September 2015v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ScalaC#Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
WindowsLinux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes infostring, binary, float, bool, date, geometryyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
.NET Client APIGraphQL
RESTful HTTP API
WebSocket
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#
Java
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresPythonnono
TriggersClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding inforange basedyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoMVCC basedyesyesyes
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.yesnono
User concepts infoAccess controlyes infousers and table-level permissionsnonoyes, based on authentication and database rules

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More resources
atotiRethinkDBSpark SQLSTSdbSurrealDB
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