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DBMS > Amazon SimpleDB vs. CockroachDB vs. IBM Db2 warehouse vs. Netezza

System Properties Comparison Amazon SimpleDB vs. CockroachDB vs. IBM Db2 warehouse vs. Netezza

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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 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.Cloud-based data warehousing serviceData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.cockroachlabs.comwww.ibm.com/­products/­db2/­warehousewww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­simpledbwww.cockroachlabs.com/­docs
DeveloperAmazonCockroach LabsIBMIBM
Initial release2007201520142000
Current release23.1.1, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemshostedLinux
macOS
Windows
hostedLinux infoincluded in appliance
Data schemeschema-freedynamic schemayesyes
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 infoImport/export of XML data possible
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoyes, wire compatible with PostgreSQLyesyes
APIs and other access methodsRESTful HTTP APIJDBC.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLyes
Triggersnonoyesno
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 RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTyesSource-replica replication
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 Consistency
Foreign keys infoReferential integritynoyesyesno
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 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.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon SimpleDBCockroachDBIBM Db2 warehouse infoformerly named IBM dashDBNetezza infoAlso called PureData System for Analytics by IBM
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