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

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

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonCubrid  Xexclude from comparisonLovefield  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  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 OLTPEmbeddable relational database for web apps written in pure JavaScriptOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelSearch engineRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#133  Overall
#12  Search engines
Score0.95
Rank#188  Overall
#86  Relational DBMS
Score0.23
Rank#299  Overall
#135  Relational DBMS
Score5.92
Rank#57  Overall
#6  Search engines
Score2.27
Rank#110  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchcubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsphinxsearch.com/­docsdocs.tdengine.com
DeveloperAmazonCUBRID Corporation, CUBRID FoundationGoogleSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release20122008201420012019
Current release11.0, January 20212.1.12, February 20173.5.1, February 20233.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL V3, also commercial editions 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++, JavaJavaScriptC++C
Server operating systemshostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexedyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesSQL-like query language infovia JavaScript builder patternSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
OLE DB
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptC++ 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
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonono
TriggersnoyesUsing read-only observersnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationnonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.noyes infousing MemoryDB
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardnonoyes
More information provided by the system vendor
Amazon CloudSearchCubridLovefieldSphinxTDengine
Specific characteristicsTDengine™ is a time-series database designed to help traditional industries overcome...
» more
Competitive advantagesHigh Performance at Any Scale: With its distributed scalable architecture that grows...
» more
Typical application scenariosTDengine is purpose-built for Industry 4.0 and the Industrial IoT (IIoT) and particularly...
» more
Market metricsTDengine has garnered over 23,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is free, open-source software released under the AGPLv3. TDengine Enterprise...
» more
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More resources
Amazon CloudSearchCubridLovefieldSphinxTDengine
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