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DBMS > Amazon CloudSearch vs. openGemini vs. SQream DB vs. Tigris

System Properties Comparison Amazon CloudSearch vs. openGemini vs. SQream DB vs. Tigris

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonopenGemini  Xexclude from comparisonSQream DB  Xexclude from comparisonTigris  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 GPU-based, columnar RDBMS for big data analytics workloadsA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelSearch engineTime Series DBMSRelational DBMSDocument store
Key-value store
Search engine
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
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score0.05
Rank#359  Overall
#50  Document stores
#52  Key-value stores
#23  Search engines
#37  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.opengemini.org
github.com/­openGemini
sqream.comwww.tigrisdata.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.opengemini.org/­guidedocs.sqream.comwww.tigrisdata.com/­docs
DeveloperAmazonHuawei and openGemini communitySQream TechnologiesTigris Data, Inc.
Initial release2012202220172022
Current release1.1, July 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 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++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
Windows
LinuxLinux
macOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, Stringyes, ANSI Standard SQL 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.nono
Secondary indexesyes infoall search fields are automatically indexedyesnoyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsHTTP APIHTTP REST.Net
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnonouser defined functions in Pythonno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlauthentication via encrypted signaturesAdministrators and common users accountsAccess rights for users and roles

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More resources
Amazon CloudSearchopenGeminiSQream DBTigris
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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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