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DBMS > Amazon DocumentDB vs. Netezza vs. SiriDB

System Properties Comparison Amazon DocumentDB vs. Netezza vs. SiriDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMS
Primary database modelDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#153  Overall
#25  Document stores
Score16.31
Rank#40  Overall
#25  Relational DBMS
Score0.17
Rank#357  Overall
#33  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­netezzasiridb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.siridb.com
DeveloperIBMCesbit
Initial release201920002017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinux infoincluded in applianceLinux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric data
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 indexesyesyesyes
SQL infoSupport of SQLnoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
OLE DB
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptsimple rights management via user accounts

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More resources
Amazon DocumentDBNetezza infoAlso called PureData System for Analytics by IBMSiriDB
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