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DBMS > Amazon SimpleDB vs. CockroachDB vs. DuckDB vs. FatDB

System Properties Comparison Amazon SimpleDB vs. CockroachDB vs. DuckDB vs. FatDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonDuckDB  Xexclude from comparisonFatDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.An embeddable, in-process, column-oriented SQL OLAP RDBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score4.63
Rank#69  Overall
#37  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.cockroachlabs.comduckdb.org
Technical documentationdocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docsduckdb.org/­docs
DeveloperAmazonCockroach LabsFatCloud
Initial release2007201520182012
Current release24.1.0, May 20241.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availableOpen Source infoMIT Licensecommercial
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++C#
Server operating systemshostedLinux
macOS
Windows
server-lessWindows
Data schemeschema-freedynamic schemayesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyesno infoVia inetgration in SQL Server
APIs and other access methodsRESTful HTTP APIJDBCArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
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
C#
Server-side scripts infoStored proceduresnononoyes infovia applications
Triggersnononoyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlnono infoCan implement custom security layer via applications

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More resources
Amazon SimpleDBCockroachDBDuckDBFatDB
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Recent citations in the news

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
12 November 2013, TechCrunch

Amazon SimpleDB Management in Eclipse
22 July 2009, AWS Blog

Good Advice on Keeping Your Database Simple and Fast.
25 March 2009, All Things Distributed

Amazon Goes Back to the Future With 'NoSQL' Database
19 January 2012, WIRED

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9 April 2024, PR Newswire

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5 December 2023, The New Stack

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6 November 2023, AWS Blog

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MotherDuck Announces General Availability; Brings Simplicity and Power of DuckDB in a Serverless Data Warehouse
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DuckDB: The tiny but powerful analytics database
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My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

DuckDB: In-Process Python Analytics for Not-Quite-Big Data
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