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DBMS > Amazon SimpleDB vs. Databend vs. Qdrant vs. TimesTen

System Properties Comparison Amazon SimpleDB vs. Databend vs. Qdrant vs. TimesTen

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabend  Xexclude from comparisonQdrant  Xexclude from comparisonTimesTen  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 ScioreAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA high-performance vector database with neural network or semantic-based matchingIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­datafuselabs/­databend
www.databend.com
github.com/­qdrant/­qdrant
qdrant.tech
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databend.comqdrant.tech/­documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonDatabend LabsQdrantOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2007202120211998
Current release1.0.59, April 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial
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 languageRustRust
Server operating systemshostedhosted
Linux
macOS
Docker
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesNumbers, Strings, Geo, Booleanyes
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneCollection-level replicationMulti-source replication
Source-replica 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 ConsistencyEventual Consistency, tunable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesKey-based authenticationfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBDatabendQdrantTimesTen
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