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DBMS > Amazon CloudSearch vs. Microsoft Azure Data Explorer vs. openGauss

System Properties Comparison Amazon CloudSearch vs. Microsoft Azure Data Explorer vs. openGauss

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFully managed big data interactive analytics platformAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelSearch engineRelational DBMS infocolumn orientedRelational DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#132  Overall
#12  Search engines
Score3.09
Rank#83  Overall
#46  Relational DBMS
Score1.09
Rank#174  Overall
#79  Relational DBMS
Websiteaws.amazon.com/­cloudsearchazure.microsoft.com/­services/­data-explorergitee.com/­opengauss
opengauss.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAmazonMicrosoftHuawei and openGauss community
Initial release201220192019
Current releasecloud service with continuous releases3.0, March 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Java
Server operating systemshostedhostedLinux
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 indexesyes infoall search fields are automatically indexedall fields are automatically indexedyes
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetANSI SQL 2011
APIs and other access methodsHTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Java
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, Ryes
Triggersnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 signaturesAzure Active Directory AuthenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon CloudSearchMicrosoft Azure Data ExploreropenGauss
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Recent citations in the news

Transition from Amazon CloudSearch to Amazon OpenSearch Service
25 July 2024, AWS Blog

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31 July 2024, Neowin

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16 July 2021, Towards Data Science

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1 July 2020, Huawei

The openGauss powers database industry forward through innovation
6 January 2022, Global Times

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12 January 2024, มหาวิทยาลัยธรรมศาสตร์

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