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DBMS > Alibaba Cloud PolarDB vs. Amazon CloudSearch vs. Apache IoTDB vs. Sphinx

System Properties Comparison Alibaba Cloud PolarDB vs. Amazon CloudSearch vs. Apache IoTDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.A hosted search engine service by Amazon with the data stored in Amazons cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engineTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­polardbaws.amazon.com/­cloudsearchiotdb.apache.orgsphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.aws.amazon.com/­cloudsearchiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsphinxsearch.com/­docs
DeveloperAlibabaAmazonApache Software FoundationSphinx Technologies Inc.
Initial release201220182001
Current release1.1.0, April 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedhostedAll OS with a Java VM (>= 1.8)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yesno
Secondary indexesyesyes infoall search fields are automatically indexedyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
HTTP APIJDBC
Native API
Proprietary protocol
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infomanaged transparently by AWSselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyesno
More information provided by the system vendor
Alibaba Cloud PolarDBAmazon CloudSearchApache IoTDBSphinx
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
» more

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Alibaba Cloud PolarDBAmazon CloudSearchApache IoTDBSphinx
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