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DBMS > Amazon DocumentDB vs. Cubrid vs. Riak TS vs. Sphinx vs. YTsaurus

System Properties Comparison Amazon DocumentDB vs. Cubrid vs. Riak TS vs. Sphinx vs. YTsaurus

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonCubrid  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen source search engine for searching in data from different sources, e.g. relational databasesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeRelational DBMSTime Series DBMSSearch engineDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteaws.amazon.com/­documentdbcubrid.com (korean)
cubrid.org (english)
sphinxsearch.comytsaurus.tech
Technical documentationaws.amazon.com/­documentdb/­resourcescubrid.org/­manualswww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docsytsaurus.tech/­docs/­en
DeveloperCUBRID Corporation, CUBRID FoundationOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.Yandex
Initial release20192008201520012023
Current release11.0, January 20213.0.0, September 20223.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaErlangC++C++
Server operating systemshostedLinux
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Ubuntu
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nononono
Secondary indexesyesyesrestrictedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesyes, limitedSQL-like query language (SphinxQL)YQL, an SQL-based language, is supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored ProceduresErlangno
Triggersnoyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnonoAccess Control Lists

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More resources
Amazon DocumentDBCubridRiak TSSphinxYTsaurus
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