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DBMS > Amazon CloudSearch vs. Cubrid vs. Sphinx vs. TDengine vs. YDB

System Properties Comparison Amazon CloudSearch vs. Cubrid vs. Sphinx vs. TDengine vs. YDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCubrid  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platformA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelSearch engineRelational DBMSSearch engineTime Series DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteaws.amazon.com/­cloudsearchcubrid.com (korean)
cubrid.org (english)
sphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.aws.amazon.com/­cloudsearchcubrid.org/­manualssphinxsearch.com/­docsdocs.tdengine.comydb.tech/­en/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationSphinx Technologies Inc.TDEngine, previously Taos DataYandex
Initial release20122008200120192019
Current release11.0, January 20213.5.1, February 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C
Server operating systemshostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Linux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonono
Secondary indexesyes infoall search fields are automatically indexedyesyes infofull-text index on all search fieldsnoyes
SQL infoSupport of SQLnoyesSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applicationsSQL-like query language (YQL)
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
OLE DB
Proprietary protocolJDBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnoneyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnoyesAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Amazon CloudSearchCubridSphinxTDengineYDB
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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