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DBMS > Amazon SimpleDB vs. DuckDB vs. EXASOL vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. DuckDB vs. EXASOL vs. Quasardb

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDuckDB  Xexclude from comparisonEXASOL  Xexclude from comparisonQuasardb  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 embeddable, in-process, column-oriented SQL OLAP RDBMSHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Distributed, high-performance timeseries database
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbduckdb.orgwww.exasol.comquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbduckdb.org/­docswww.exasol.com/­resourcesdoc.quasar.ai/­master
DeveloperAmazonExasolquasardb
Initial release2007201820002009
Current release0.10, February 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++C++
Server operating systemshostedserver-lessBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binary
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 automaticallyyesyesyes infowith tags
SQL infoSupport of SQLnoyesyesSQL-like query language
APIs and other access methodsRESTful HTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
Java
Lua
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noAccess rights for users, groups and roles according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBDuckDBEXASOLQuasardb
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