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DBMS > Amazon DocumentDB vs. Rockset vs. Valentina Server vs. YTsaurus

System Properties Comparison Amazon DocumentDB vs. Rockset vs. Valentina Server vs. YTsaurus

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonRockset  Xexclude from comparisonValentina Server  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDBObject-relational database and reports serverYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Key-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.79
Rank#211  Overall
#35  Document stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteaws.amazon.com/­documentdbrockset.comwww.valentina-db.netytsaurus.tech
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.rockset.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpytsaurus.tech/­docs/­en
DeveloperRocksetParadigma SoftwareYandex
Initial release2019201919992023
Current release5.7.5
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedhostedLinux
OS X
Windows
Ubuntu
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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 infoingestion from XML files supportedno
Secondary indexesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyesYQL, an SQL-based language, is supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardAccess Control Lists

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More resources
Amazon DocumentDBRocksetValentina ServerYTsaurus
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