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DBMS > Amazon CloudSearch vs. openGemini vs. OrigoDB vs. Prometheus

System Properties Comparison Amazon CloudSearch vs. openGemini vs. OrigoDB vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonopenGemini  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring system
Primary database modelSearch engineTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.opengemini.org
github.com/­openGemini
origodb.comprometheus.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.opengemini.org/­guideorigodb.com/­docsprometheus.io/­docs
DeveloperAmazonHuawei and openGemini communityRobert Friberg et al
Initial release201220222009 infounder the name LiveDB2015
Current release1.1, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#Go
Server operating systemshostedLinux
Windows
Linux
Windows
Linux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, StringUser defined using .NET types and collectionsNumeric data only
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.nono infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsHTTP APIHTTP REST.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlauthentication via encrypted signaturesAdministrators and common users accountsRole based authorizationno

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More resources
Amazon CloudSearchopenGeminiOrigoDBPrometheus
DB-Engines blog posts

Amazon - the rising star in the DBMS market
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