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DBMS > Amazon CloudSearch vs. EsgynDB vs. Qdrant

System Properties Comparison Amazon CloudSearch vs. EsgynDB vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA high-performance vector database with neural network or semantic-based matching
Primary database modelSearch engineRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#135  Overall
#12  Search engines
Score0.15
Rank#363  Overall
#156  Relational DBMS
Score0.83
Rank#246  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­cloudsearchwww.esgyn.cngithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­cloudsearchqdrant.tech/­documentation
DeveloperAmazonEsgynQdrant
Initial release201220152021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaRust
Server operating systemshostedLinuxDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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 indexedyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyesno
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication between multi datacentersCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesfine grained access rights according to SQL-standardKey-based authentication

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More resources
Amazon CloudSearchEsgynDBQdrant
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