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DBMS > Amazon SimpleDB vs. Citus vs. Postgres-XL vs. Qdrant

System Properties Comparison Amazon SimpleDB vs. Citus vs. Postgres-XL vs. Qdrant

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCitus  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high-performance vector database with neural network or semantic-based matching
Primary database modelKey-value storeRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Websiteaws.amazon.com/­simpledbwww.citusdata.comwww.postgres-xl.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­simpledbdocs.citusdata.comwww.postgres-xl.org/­documentationqdrant.tech/­documentation
DeveloperAmazonQdrant
Initial release200720102014 infosince 2012, originally named StormDB2021
Current release8.1, December 201810 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoMozilla public licenseOpen 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 languageCCRust
Server operating systemshostedLinuxLinux
macOS
Docker
Linux
macOS
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesNumbers, 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.yes infospecific XML type available, but no XML query functionalityyes infoXML type, but no XML query functionalityno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsyes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoother methods possible by using 3rd party extensionsCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardKey-based authentication

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More resources
Amazon SimpleDBCitusPostgres-XLQdrant
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